Full Code of vladmandic/sdnext for AI

gitextract_kfv17jig/

├── .dockerignore
├── .gitignore
├── .gitmodules
├── .pylintrc
├── .ruff.toml
├── CHANGELOG.md
├── CITATION.cff
├── CODE_OF_CONDUCT
├── CONTRIBUTING
├── README.md
├── SECURITY.md
├── TODO.md
├── cli/
│   ├── api-checkpoint.py
│   ├── api-control.py
│   ├── api-detect.py
│   ├── api-enhance.py
│   ├── api-faceid.py
│   ├── api-grid.py
│   ├── api-history.py
│   ├── api-img2img.py
│   ├── api-info.py
│   ├── api-interrogate.py
│   ├── api-json.py
│   ├── api-mask.py
│   ├── api-model.js
│   ├── api-preprocess.py
│   ├── api-progress.py
│   ├── api-pulid.js
│   ├── api-samplers.py
│   ├── api-txt2img.js
│   ├── api-txt2img.py
│   ├── api-upscale.py
│   ├── api-vqa.py
│   ├── api-xyz.py
│   ├── api-xyzenum.py
│   ├── civitai-search.py
│   ├── download-file.py
│   ├── full-test.sh
│   ├── gen-styles.py
│   ├── generate-random.json
│   ├── generate.json
│   ├── generate.py
│   ├── git-clone.py
│   ├── hf-search.py
│   ├── image-encode.py
│   ├── image-exif.py
│   ├── image-grid.py
│   ├── image-palette.py
│   ├── image-search.py
│   ├── image-watermark.py
│   ├── install-stablefast.py
│   ├── lcm-convert.py
│   ├── load-unet.py
│   ├── locale-sanitize-override.py
│   ├── localize.js
│   ├── model-keys.py
│   ├── model-metadata.py
│   ├── nvidia-smi.py
│   ├── process.py
│   ├── process_options.py
│   ├── requirements.txt
│   ├── run-benchmark.py
│   ├── sdapi.py
│   ├── search-docs.py
│   ├── test-schedulers.py
│   ├── test-tagger.py
│   ├── test-weighted-lists.py
│   ├── util.py
│   ├── validate-locale.py
│   ├── video-extract.py
│   └── zluda-python.py
├── configs/
│   ├── Dockerfile.cuda
│   ├── Dockerfile.ipex
│   ├── Dockerfile.openvino
│   ├── Dockerfile.rocm
│   ├── chroma/
│   │   ├── model_index.json
│   │   ├── scheduler/
│   │   │   └── scheduler_config.json
│   │   ├── text_encoder/
│   │   │   └── config.json
│   │   ├── tokenizer/
│   │   │   ├── added_tokens.json
│   │   │   ├── special_tokens_map.json
│   │   │   ├── spiece.model
│   │   │   └── tokenizer_config.json
│   │   ├── transformer/
│   │   │   ├── config.json
│   │   │   └── diffusion_pytorch_model.safetensors.index.json
│   │   └── vae/
│   │       └── config.json
│   ├── flux/
│   │   ├── model_index.json
│   │   ├── scheduler/
│   │   │   └── scheduler_config.json
│   │   ├── text_encoder/
│   │   │   └── config.json
│   │   ├── text_encoder_2/
│   │   │   ├── config.json
│   │   │   └── model.safetensors.index.json
│   │   ├── tokenizer/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── tokenizer_2/
│   │   │   ├── special_tokens_map.json
│   │   │   ├── spiece.model
│   │   │   ├── tokenizer.json
│   │   │   └── tokenizer_config.json
│   │   ├── transformer/
│   │   │   ├── config.json
│   │   │   └── diffusion_pytorch_model.safetensors.index.json
│   │   └── vae/
│   │       └── config.json
│   ├── olive/
│   │   ├── sd/
│   │   │   ├── text_encoder.json
│   │   │   ├── unet.json
│   │   │   ├── vae_decoder.json
│   │   │   └── vae_encoder.json
│   │   └── sdxl/
│   │       ├── text_encoder.json
│   │       ├── text_encoder_2.json
│   │       ├── unet.json
│   │       ├── vae_decoder.json
│   │       └── vae_encoder.json
│   ├── playground-v2.5-1024px-aesthetic.fp16_vae.json
│   ├── sd15/
│   │   ├── feature_extractor/
│   │   │   └── preprocessor_config.json
│   │   ├── model_index.json
│   │   ├── safety_checker/
│   │   │   └── config.json
│   │   ├── scheduler/
│   │   │   └── scheduler_config.json
│   │   ├── text_encoder/
│   │   │   └── config.json
│   │   ├── tokenizer/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── unet/
│   │   │   └── config.json
│   │   └── vae/
│   │       └── config.json
│   ├── sd3/
│   │   ├── model_index.json
│   │   ├── scheduler/
│   │   │   └── scheduler_config.json
│   │   ├── text_encoder/
│   │   │   └── config.json
│   │   ├── text_encoder_2/
│   │   │   └── config.json
│   │   ├── text_encoder_3/
│   │   │   └── config.json
│   │   ├── tokenizer/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── tokenizer_2/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── tokenizer_3/
│   │   │   ├── special_tokens_map.json
│   │   │   ├── spiece.model
│   │   │   ├── tokenizer.json
│   │   │   └── tokenizer_config.json
│   │   ├── transformer/
│   │   │   └── config.json
│   │   └── vae/
│   │       └── config.json
│   ├── sdxl/
│   │   ├── model_index.json
│   │   ├── scheduler/
│   │   │   └── scheduler_config.json
│   │   ├── text_encoder/
│   │   │   └── config.json
│   │   ├── text_encoder_2/
│   │   │   └── config.json
│   │   ├── tokenizer/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── tokenizer_2/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── unet/
│   │   │   └── config.json
│   │   └── vae/
│   │       └── config.json
│   ├── sdxl-refiner/
│   │   ├── model_index.json
│   │   ├── scheduler/
│   │   │   └── scheduler_config.json
│   │   ├── text_encoder_2/
│   │   │   └── config.json
│   │   ├── tokenizer_2/
│   │   │   ├── merges.txt
│   │   │   ├── special_tokens_map.json
│   │   │   ├── tokenizer_config.json
│   │   │   └── vocab.json
│   │   ├── unet/
│   │   │   └── config.json
│   │   └── vae/
│   │       └── config.json
│   └── stable-cascade/
│       ├── prior/
│       │   └── config.json
│       └── prior_lite/
│           └── config.json
├── data/
│   ├── previews.json
│   ├── reference-cloud.json
│   ├── reference-community.json
│   ├── reference-distilled.json
│   ├── reference-quant.json
│   ├── reference.json
│   └── upscalers.json
├── eslint.config.mjs
├── html/
│   ├── art-styles.json
│   ├── licenses.html
│   ├── locale_de.json
│   ├── locale_en.json
│   ├── locale_es.json
│   ├── locale_fr.json
│   ├── locale_hr.json
│   ├── locale_it.json
│   ├── locale_ja.json
│   ├── locale_ko.json
│   ├── locale_pt.json
│   ├── locale_ru.json
│   ├── locale_zh.json
│   ├── manifest.json
│   ├── override_en.json
│   ├── override_hr.json
│   ├── override_ko.json
│   └── swagger.css
├── installer.py
├── javascript/
│   ├── amethyst-nightfall.css
│   ├── aspectRatioOverlay.js
│   ├── authWrap.js
│   ├── base.css
│   ├── black-gray.css
│   ├── black-orange.css
│   ├── black-teal-reimagined.css
│   ├── black-teal.css
│   ├── changelog.js
│   ├── civitai.js
│   ├── contextMenus.js
│   ├── control.js
│   ├── docs.js
│   ├── dragDrop.js
│   ├── editAttention.js
│   ├── emerald-paradise.css
│   ├── exifr.js
│   ├── extensions.js
│   ├── extraNetworks.js
│   ├── gallery.js
│   ├── generationParams.js
│   ├── gpu.js
│   ├── guidance.js
│   ├── hires.js
│   ├── history.js
│   ├── imageParams.js
│   ├── imageViewer.js
│   ├── indexdb.js
│   ├── inputAccordion.js
│   ├── invoked.css
│   ├── light-teal.css
│   ├── loader.js
│   ├── logMonitor.js
│   ├── logger.js
│   ├── login.js
│   ├── midnight-barbie.css
│   ├── monitor.js
│   ├── notification.js
│   ├── orchid-dreams.css
│   ├── panZoom.js
│   ├── progressBar.js
│   ├── promptChecker.js
│   ├── script.js
│   ├── sdnext.css
│   ├── setHints.js
│   ├── settings.js
│   ├── simple-dark.css
│   ├── simple-light.css
│   ├── startup.js
│   ├── timeless-beige.css
│   ├── timesheet.css
│   ├── timesheet.js
│   ├── trainMonitor.js
│   ├── ui.js
│   └── uiConfig.js
├── launch.py
├── models/
│   └── VAE-approx/
│       └── model.pt
├── modules/
│   ├── apg/
│   │   ├── __init__.py
│   │   ├── pipeline_stable_cascade_prior_apg.py
│   │   ├── pipeline_stable_diffision_xl_apg.py
│   │   └── pipeline_stable_diffusion_apg.py
│   ├── api/
│   │   ├── api.py
│   │   ├── control.py
│   │   ├── docs.py
│   │   ├── endpoints.py
│   │   ├── gallery.py
│   │   ├── generate.py
│   │   ├── gpu.py
│   │   ├── helpers.py
│   │   ├── loras.py
│   │   ├── middleware.py
│   │   ├── mime.py
│   │   ├── models.py
│   │   ├── nudenet.py
│   │   ├── nvml.py
│   │   ├── process.py
│   │   ├── rocm_smi.py
│   │   ├── script.py
│   │   ├── server.py
│   │   ├── xpu_smi.py
│   │   └── xyz_grid.py
│   ├── attention.py
│   ├── ben2/
│   │   ├── __init__.py
│   │   └── ben2_model.py
│   ├── cachedit.py
│   ├── call_queue.py
│   ├── cfgzero/
│   │   ├── __init__.py
│   │   ├── cogview4_pipeline.py
│   │   ├── flux_pipeline.py
│   │   ├── hidream_pipeline.py
│   │   ├── hunyuan_t2v_pipeline.py
│   │   ├── sd3_pipeline.py
│   │   └── wan_t2v_pipeline.py
│   ├── civitai/
│   │   ├── api_civitai.py
│   │   ├── download_civitai.py
│   │   ├── metadata_civitai.py
│   │   └── search_civitai.py
│   ├── cmd_args.py
│   ├── control/
│   │   ├── proc/
│   │   │   ├── __init__.py
│   │   │   ├── canny.py
│   │   │   ├── depth_anything/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── blocks.py
│   │   │   │   ├── dpt.py
│   │   │   │   └── util/
│   │   │   │       └── transform.py
│   │   │   ├── depth_pro/
│   │   │   │   └── __init__.py
│   │   │   ├── dpt.py
│   │   │   ├── dwpose/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── config/
│   │   │   │   │   ├── dwpose-l_384x288.py
│   │   │   │   │   ├── rtmpose-l_8xb32-270e_coco-ubody-wholebody-384x288.py
│   │   │   │   │   ├── rtmpose-m_8xb64-270e_coco-ubody-wholebody-256x192.py
│   │   │   │   │   ├── rtmpose-t_8xb64-270e_coco-ubody-wholebody-256x192.py
│   │   │   │   │   └── yolox_l_8xb8-300e_coco.py
│   │   │   │   ├── draw.py
│   │   │   │   └── wholebody.py
│   │   │   ├── edge.py
│   │   │   ├── glpn.py
│   │   │   ├── hed.py
│   │   │   ├── leres/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── leres/
│   │   │   │   │   ├── LICENSE
│   │   │   │   │   ├── Resnet.py
│   │   │   │   │   ├── Resnext_torch.py
│   │   │   │   │   ├── __init__.py
│   │   │   │   │   ├── depthmap.py
│   │   │   │   │   ├── multi_depth_model_woauxi.py
│   │   │   │   │   ├── net_tools.py
│   │   │   │   │   └── network_auxi.py
│   │   │   │   └── pix2pix/
│   │   │   │       ├── LICENSE
│   │   │   │       ├── __init__.py
│   │   │   │       ├── models/
│   │   │   │       │   ├── __init__.py
│   │   │   │       │   ├── base_model.py
│   │   │   │       │   ├── base_model_hg.py
│   │   │   │       │   ├── networks.py
│   │   │   │       │   └── pix2pix4depth_model.py
│   │   │   │       ├── options/
│   │   │   │       │   ├── __init__.py
│   │   │   │       │   ├── base_options.py
│   │   │   │       │   └── test_options.py
│   │   │   │       └── util/
│   │   │   │           ├── __init__.py
│   │   │   │           └── util.py
│   │   │   ├── lineart.py
│   │   │   ├── lineart_anime.py
│   │   │   ├── marigold/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── marigold_pipeline.py
│   │   │   │   └── util/
│   │   │   │       ├── batchsize.py
│   │   │   │       ├── ensemble.py
│   │   │   │       ├── image_util.py
│   │   │   │       └── seed_all.py
│   │   │   ├── mediapipe_face.py
│   │   │   ├── mediapipe_face_util.py
│   │   │   ├── midas/
│   │   │   │   ├── LICENSE
│   │   │   │   ├── __init__.py
│   │   │   │   ├── api.py
│   │   │   │   ├── midas/
│   │   │   │   │   ├── __init__.py
│   │   │   │   │   ├── base_model.py
│   │   │   │   │   ├── blocks.py
│   │   │   │   │   ├── dpt_depth.py
│   │   │   │   │   ├── midas_net.py
│   │   │   │   │   ├── midas_net_custom.py
│   │   │   │   │   ├── transforms.py
│   │   │   │   │   └── vit.py
│   │   │   │   └── utils.py
│   │   │   ├── mlsd/
│   │   │   │   ├── LICENSE
│   │   │   │   ├── __init__.py
│   │   │   │   ├── models/
│   │   │   │   │   ├── __init__.py
│   │   │   │   │   ├── mbv2_mlsd_large.py
│   │   │   │   │   └── mbv2_mlsd_tiny.py
│   │   │   │   └── utils.py
│   │   │   ├── normalbae/
│   │   │   │   ├── LICENSE
│   │   │   │   ├── __init__.py
│   │   │   │   └── nets/
│   │   │   │       ├── NNET.py
│   │   │   │       ├── __init__.py
│   │   │   │       ├── baseline.py
│   │   │   │       └── submodules/
│   │   │   │           ├── __init__.py
│   │   │   │           ├── decoder.py
│   │   │   │           ├── efficientnet_repo/
│   │   │   │           │   ├── BENCHMARK.md
│   │   │   │           │   ├── LICENSE
│   │   │   │           │   ├── README.md
│   │   │   │           │   ├── __init__.py
│   │   │   │           │   ├── geffnet/
│   │   │   │           │   │   ├── __init__.py
│   │   │   │           │   │   ├── activations/
│   │   │   │           │   │   │   ├── __init__.py
│   │   │   │           │   │   │   ├── activations.py
│   │   │   │           │   │   │   ├── activations_jit.py
│   │   │   │           │   │   │   └── activations_me.py
│   │   │   │           │   │   ├── config.py
│   │   │   │           │   │   ├── conv2d_layers.py
│   │   │   │           │   │   ├── efficientnet_builder.py
│   │   │   │           │   │   ├── gen_efficientnet.py
│   │   │   │           │   │   ├── helpers.py
│   │   │   │           │   │   ├── mobilenetv3.py
│   │   │   │           │   │   ├── model_factory.py
│   │   │   │           │   │   └── version.py
│   │   │   │           │   ├── hubconf.py
│   │   │   │           │   ├── requirements.txt
│   │   │   │           │   ├── setup.py
│   │   │   │           │   ├── utils.py
│   │   │   │           │   └── validate.py
│   │   │   │           ├── encoder.py
│   │   │   │           └── submodules.py
│   │   │   ├── openpose/
│   │   │   │   ├── LICENSE
│   │   │   │   ├── __init__.py
│   │   │   │   ├── body.py
│   │   │   │   ├── face.py
│   │   │   │   ├── hand.py
│   │   │   │   ├── model.py
│   │   │   │   └── util.py
│   │   │   ├── pidi.py
│   │   │   ├── pidi_model.py
│   │   │   ├── segment_anything/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── automatic_mask_generator.py
│   │   │   │   ├── build_sam.py
│   │   │   │   ├── modeling/
│   │   │   │   │   ├── __init__.py
│   │   │   │   │   ├── common.py
│   │   │   │   │   ├── image_encoder.py
│   │   │   │   │   ├── mask_decoder.py
│   │   │   │   │   ├── prompt_encoder.py
│   │   │   │   │   ├── sam.py
│   │   │   │   │   ├── tiny_vit_sam.py
│   │   │   │   │   └── transformer.py
│   │   │   │   ├── predictor.py
│   │   │   │   └── utils/
│   │   │   │       ├── __init__.py
│   │   │   │       ├── amg.py
│   │   │   │       ├── onnx.py
│   │   │   │       └── transforms.py
│   │   │   ├── shuffle.py
│   │   │   └── zoe/
│   │   │       ├── LICENSE
│   │   │       ├── __init__.py
│   │   │       └── zoedepth/
│   │   │           ├── __init__.py
│   │   │           ├── models/
│   │   │           │   ├── __init__.py
│   │   │           │   ├── base_models/
│   │   │           │   │   ├── __init__.py
│   │   │           │   │   ├── midas.py
│   │   │           │   │   └── midas_repo/
│   │   │           │   │       ├── LICENSE
│   │   │           │   │       ├── README.md
│   │   │           │   │       ├── __init__.py
│   │   │           │   │       ├── hubconf.py
│   │   │           │   │       └── midas/
│   │   │           │   │           ├── __init__.py
│   │   │           │   │           ├── backbones/
│   │   │           │   │           │   ├── __init__.py
│   │   │           │   │           │   ├── beit.py
│   │   │           │   │           │   ├── levit.py
│   │   │           │   │           │   ├── next_vit.py
│   │   │           │   │           │   ├── swin.py
│   │   │           │   │           │   ├── swin2.py
│   │   │           │   │           │   ├── swin_common.py
│   │   │           │   │           │   ├── utils.py
│   │   │           │   │           │   └── vit.py
│   │   │           │   │           ├── base_model.py
│   │   │           │   │           ├── blocks.py
│   │   │           │   │           ├── dpt_depth.py
│   │   │           │   │           ├── midas_net.py
│   │   │           │   │           ├── midas_net_custom.py
│   │   │           │   │           ├── model_loader.py
│   │   │           │   │           └── transforms.py
│   │   │           │   ├── builder.py
│   │   │           │   ├── depth_model.py
│   │   │           │   ├── layers/
│   │   │           │   │   ├── __init__.py
│   │   │           │   │   ├── attractor.py
│   │   │           │   │   ├── dist_layers.py
│   │   │           │   │   ├── localbins_layers.py
│   │   │           │   │   └── patch_transformer.py
│   │   │           │   ├── model_io.py
│   │   │           │   ├── zoedepth/
│   │   │           │   │   ├── __init__.py
│   │   │           │   │   ├── config_zoedepth.json
│   │   │           │   │   ├── config_zoedepth_kitti.json
│   │   │           │   │   └── zoedepth_v1.py
│   │   │           │   └── zoedepth_nk/
│   │   │           │       ├── __init__.py
│   │   │           │       ├── config_zoedepth_nk.json
│   │   │           │       └── zoedepth_nk_v1.py
│   │   │           └── utils/
│   │   │               ├── __init__.py
│   │   │               ├── arg_utils.py
│   │   │               ├── config.py
│   │   │               └── easydict/
│   │   │                   └── __init__.py
│   │   ├── processor.py
│   │   ├── processors.py
│   │   ├── run.py
│   │   ├── test.py
│   │   ├── tile.py
│   │   ├── unit.py
│   │   ├── units/
│   │   │   ├── controlnet.py
│   │   │   ├── detect.py
│   │   │   ├── lite.py
│   │   │   ├── lite_model.py
│   │   │   ├── reference.py
│   │   │   ├── t2iadapter.py
│   │   │   ├── xs.py
│   │   │   ├── xs_model.py
│   │   │   └── xs_pipe.py
│   │   └── util.py
│   ├── detailer.py
│   ├── devices.py
│   ├── devices_mac.py
│   ├── dml/
│   │   ├── Generator.py
│   │   ├── __init__.py
│   │   ├── amp/
│   │   │   ├── __init__.py
│   │   │   └── autocast_mode.py
│   │   ├── backend.py
│   │   ├── device.py
│   │   ├── device_properties.py
│   │   ├── hijack/
│   │   │   ├── __init__.py
│   │   │   ├── realesrgan_model.py
│   │   │   ├── tomesd.py
│   │   │   ├── torch.py
│   │   │   ├── transformers.py
│   │   │   └── utils.py
│   │   ├── memory.py
│   │   ├── memory_amd/
│   │   │   ├── __init__.py
│   │   │   └── driver/
│   │   │       ├── atiadlxx.py
│   │   │       ├── atiadlxx_apis.py
│   │   │       ├── atiadlxx_defines.py
│   │   │       └── atiadlxx_structures.py
│   │   ├── pdh/
│   │   │   ├── __init__.py
│   │   │   ├── apis.py
│   │   │   ├── defines.py
│   │   │   ├── errors.py
│   │   │   ├── msvcrt.py
│   │   │   └── structures.py
│   │   └── utils.py
│   ├── errorlimiter.py
│   ├── errors.py
│   ├── extensions.py
│   ├── extra_networks.py
│   ├── extras.py
│   ├── face/
│   │   ├── __init__.py
│   │   ├── faceid.py
│   │   ├── faceswap.py
│   │   ├── insightface.py
│   │   ├── instantid.py
│   │   ├── instantid_model.py
│   │   ├── photomaker.py
│   │   ├── photomaker_model_v1.py
│   │   ├── photomaker_model_v2.py
│   │   ├── photomaker_pipeline.py
│   │   ├── reswapper.py
│   │   ├── reswapper_model.py
│   │   └── reswapper_utils.py
│   ├── face_restoration.py
│   ├── facelib/
│   │   ├── __init__.py
│   │   ├── detection/
│   │   │   ├── __init__.py
│   │   │   ├── align_trans.py
│   │   │   ├── matlab_cp2tform.py
│   │   │   ├── retinaface/
│   │   │   │   ├── retinaface.py
│   │   │   │   ├── retinaface_net.py
│   │   │   │   └── retinaface_utils.py
│   │   │   └── yolov5face/
│   │   │       ├── __init__.py
│   │   │       ├── face_detector.py
│   │   │       ├── models/
│   │   │       │   ├── __init__.py
│   │   │       │   ├── common.py
│   │   │       │   ├── experimental.py
│   │   │       │   ├── yolo.py
│   │   │       │   ├── yolov5l.yaml
│   │   │       │   └── yolov5n.yaml
│   │   │       └── utils/
│   │   │           ├── __init__.py
│   │   │           ├── autoanchor.py
│   │   │           ├── datasets.py
│   │   │           ├── extract_ckpt.py
│   │   │           ├── general.py
│   │   │           └── torch_utils.py
│   │   ├── parsing/
│   │   │   ├── __init__.py
│   │   │   ├── bisenet.py
│   │   │   ├── parsenet.py
│   │   │   └── resnet.py
│   │   └── utils/
│   │       ├── __init__.py
│   │       ├── face_restoration_helper.py
│   │       ├── face_utils.py
│   │       └── misc.py
│   ├── files_cache.py
│   ├── flash_attn_triton_amd/
│   │   ├── __init__.py
│   │   ├── fwd_prefill.py
│   │   ├── interface_fa.py
│   │   └── utils.py
│   ├── framepack/
│   │   ├── create-video.py
│   │   ├── encode-video.py
│   │   ├── framepack_api.py
│   │   ├── framepack_hijack.py
│   │   ├── framepack_install.py
│   │   ├── framepack_load.py
│   │   ├── framepack_ui.py
│   │   ├── framepack_vae.py
│   │   ├── framepack_worker.py
│   │   ├── framepack_wrappers.py
│   │   └── pipeline/
│   │       ├── bucket_tools.py
│   │       ├── clip_vision.py
│   │       ├── dit_common.py
│   │       ├── hunyuan.py
│   │       ├── hunyuan_video_packed.py
│   │       ├── k_diffusion_hunyuan.py
│   │       ├── thread_utils.py
│   │       ├── uni_pc_fm.py
│   │       ├── utils.py
│   │       └── wrapper.py
│   ├── generation_parameters_copypaste.py
│   ├── ggml/
│   │   ├── __init__.py
│   │   ├── gguf_tensor.py
│   │   └── gguf_utils.py
│   ├── gr_hijack.py
│   ├── gr_tempdir.py
│   ├── hashes.py
│   ├── hidiffusion/
│   │   ├── __init__.py
│   │   ├── hidiffusion.py
│   │   ├── hidiffusion_controlnet.py
│   │   └── utils.py
│   ├── history.py
│   ├── images.py
│   ├── images_grid.py
│   ├── images_namegen.py
│   ├── images_resize.py
│   ├── img2img.py
│   ├── infotext.py
│   ├── infotext_utils.py
│   ├── intel/
│   │   ├── ipex/
│   │   │   ├── __init__.py
│   │   │   ├── attention.py
│   │   │   ├── device_prop.py
│   │   │   ├── diffusers.py
│   │   │   └── hijacks.py
│   │   └── openvino/
│   │       └── __init__.py
│   ├── interrogate/
│   │   ├── deepbooru.py
│   │   ├── deepbooru_model.py
│   │   ├── deepseek.py
│   │   ├── interrogate.py
│   │   ├── joycaption.py
│   │   ├── joytag.py
│   │   ├── moondream3.py
│   │   ├── openclip.py
│   │   ├── tagger.py
│   │   ├── vqa.py
│   │   ├── vqa_detection.py
│   │   └── waifudiffusion.py
│   ├── ipadapter.py
│   ├── json_helpers.py
│   ├── lama.py
│   ├── linfusion/
│   │   ├── __init__.py
│   │   ├── attention.py
│   │   └── linfusion.py
│   ├── loader.py
│   ├── localization.py
│   ├── lora/
│   │   ├── extra_networks_lora.py
│   │   ├── lora_apply.py
│   │   ├── lora_common.py
│   │   ├── lora_convert.py
│   │   ├── lora_diffusers.py
│   │   ├── lora_extract.py
│   │   ├── lora_load.py
│   │   ├── lora_nunchaku.py
│   │   ├── lora_overrides.py
│   │   ├── lora_timers.py
│   │   ├── lyco_helpers.py
│   │   ├── network.py
│   │   ├── network_full.py
│   │   ├── network_glora.py
│   │   ├── network_hada.py
│   │   ├── network_ia3.py
│   │   ├── network_lokr.py
│   │   ├── network_lora.py
│   │   ├── network_norm.py
│   │   ├── network_oft.py
│   │   └── networks.py
│   ├── ltx/
│   │   ├── ltx_process.py
│   │   ├── ltx_ui.py
│   │   └── ltx_util.py
│   ├── masking.py
│   ├── memmon.py
│   ├── memstats.py
│   ├── merging/
│   │   ├── convert_sdxl.py
│   │   ├── merge.py
│   │   ├── merge_PermSpec.py
│   │   ├── merge_PermSpec_SDXL.py
│   │   ├── merge_methods.py
│   │   ├── merge_presets.py
│   │   ├── merge_rebasin.py
│   │   ├── merge_utils.py
│   │   └── modules_sdxl.py
│   ├── migrate.py
│   ├── mit_nunchaku.py
│   ├── model_quant.py
│   ├── model_te.py
│   ├── model_tools.py
│   ├── modeldata.py
│   ├── modelloader.py
│   ├── models_hf.py
│   ├── modelstats.py
│   ├── modular.py
│   ├── modular_guiders.py
│   ├── olive_script.py
│   ├── onnx_impl/
│   │   ├── __init__.py
│   │   ├── execution_providers.py
│   │   ├── pipelines/
│   │   │   ├── __init__.py
│   │   │   ├── onnx_stable_diffusion_img2img_pipeline.py
│   │   │   ├── onnx_stable_diffusion_inpaint_pipeline.py
│   │   │   ├── onnx_stable_diffusion_pipeline.py
│   │   │   ├── onnx_stable_diffusion_upscale_pipeline.py
│   │   │   ├── onnx_stable_diffusion_xl_img2img_pipeline.py
│   │   │   ├── onnx_stable_diffusion_xl_pipeline.py
│   │   │   └── utils.py
│   │   ├── ui.py
│   │   └── utils.py
│   ├── options.py
│   ├── options_handler.py
│   ├── pag/
│   │   ├── __init__.py
│   │   ├── pipe_sd.py
│   │   └── pipe_sdxl.py
│   ├── para_attention.py
│   ├── patches.py
│   ├── paths.py
│   ├── paths_internal.py
│   ├── postprocess/
│   │   ├── aurasr_arch.py
│   │   ├── aurasr_model.py
│   │   ├── codeformer_arch.py
│   │   ├── codeformer_model.py
│   │   ├── dcc.py
│   │   ├── esrgan_model.py
│   │   ├── esrgan_model_arch.py
│   │   ├── gfpgan_model.py
│   │   ├── hqx.py
│   │   ├── icbi.py
│   │   ├── pixelart.py
│   │   ├── realesrgan_model.py
│   │   ├── realesrgan_model_arch.py
│   │   ├── restorer.py
│   │   ├── scunet_model.py
│   │   ├── scunet_model_arch.py
│   │   ├── sdupscaler_model.py
│   │   ├── seedvr_model.py
│   │   ├── swinir_model.py
│   │   ├── swinir_model_arch.py
│   │   ├── swinir_model_arch_v2.py
│   │   ├── vqgan_arch.py
│   │   └── yolo.py
│   ├── postprocessing.py
│   ├── processing.py
│   ├── processing_args.py
│   ├── processing_callbacks.py
│   ├── processing_class.py
│   ├── processing_correction.py
│   ├── processing_diffusers.py
│   ├── processing_helpers.py
│   ├── processing_info.py
│   ├── processing_prompt.py
│   ├── processing_vae.py
│   ├── progress.py
│   ├── prompt_parser.py
│   ├── prompt_parser_diffusers.py
│   ├── prompt_parser_xhinker.py
│   ├── ras/
│   │   ├── __init__.py
│   │   ├── ras_attention.py
│   │   ├── ras_forward.py
│   │   ├── ras_manager.py
│   │   └── ras_scheduler.py
│   ├── res4lyf/
│   │   ├── __init__.py
│   │   ├── abnorsett_scheduler.py
│   │   ├── bong_tangent_scheduler.py
│   │   ├── common_sigma_scheduler.py
│   │   ├── deis_scheduler_alt.py
│   │   ├── etdrk_scheduler.py
│   │   ├── gauss_legendre_scheduler.py
│   │   ├── langevin_dynamics_scheduler.py
│   │   ├── lawson_scheduler.py
│   │   ├── linear_rk_scheduler.py
│   │   ├── lobatto_scheduler.py
│   │   ├── pec_scheduler.py
│   │   ├── phi_functions.py
│   │   ├── radau_iia_scheduler.py
│   │   ├── res_multistep_scheduler.py
│   │   ├── res_multistep_sde_scheduler.py
│   │   ├── res_singlestep_scheduler.py
│   │   ├── res_singlestep_sde_scheduler.py
│   │   ├── res_unified_scheduler.py
│   │   ├── riemannian_flow_scheduler.py
│   │   ├── rungekutta_44s_scheduler.py
│   │   ├── rungekutta_57s_scheduler.py
│   │   ├── rungekutta_67s_scheduler.py
│   │   ├── scheduler_utils.py
│   │   ├── simple_exponential_scheduler.py
│   │   ├── specialized_rk_scheduler.py
│   │   └── variants.py
│   ├── rife/
│   │   ├── __init__.py
│   │   ├── loss.py
│   │   ├── model_ifnet.py
│   │   ├── model_rife.py
│   │   ├── refine.py
│   │   ├── ssim.py
│   │   └── warplayer.py
│   ├── rocm.py
│   ├── rocm_triton_windows.py
│   ├── safe.py
│   ├── schedulers/
│   │   ├── perflow/
│   │   │   ├── __init__.py
│   │   │   ├── pfode_solver.py
│   │   │   ├── scheduler_perflow.py
│   │   │   └── utils_perflow.py
│   │   ├── scheduler_bdia.py
│   │   ├── scheduler_dc.py
│   │   ├── scheduler_dpm_flowmatch.py
│   │   ├── scheduler_flashflow.py
│   │   ├── scheduler_tcd.py
│   │   ├── scheduler_tdd.py
│   │   ├── scheduler_ufogen.py
│   │   ├── scheduler_unipc_flowmatch.py
│   │   └── scheduler_vdm.py
│   ├── script_callbacks.py
│   ├── script_loading.py
│   ├── scripts.py
│   ├── scripts_auto_postprocessing.py
│   ├── scripts_manager.py
│   ├── scripts_postprocessing.py
│   ├── sd_checkpoint.py
│   ├── sd_detect.py
│   ├── sd_hijack.py
│   ├── sd_hijack_accelerate.py
│   ├── sd_hijack_dynamic_atten.py
│   ├── sd_hijack_freeu.py
│   ├── sd_hijack_hypertile.py
│   ├── sd_hijack_safetensors.py
│   ├── sd_hijack_te.py
│   ├── sd_hijack_utils.py
│   ├── sd_hijack_vae.py
│   ├── sd_models.py
│   ├── sd_models_compile.py
│   ├── sd_models_utils.py
│   ├── sd_modules.py
│   ├── sd_offload.py
│   ├── sd_samplers.py
│   ├── sd_samplers_common.py
│   ├── sd_samplers_diffusers.py
│   ├── sd_te_remote.py
│   ├── sd_unet.py
│   ├── sd_vae.py
│   ├── sdnq/
│   │   ├── __init__.py
│   │   ├── common.py
│   │   ├── dequantizer.py
│   │   ├── file_loader.py
│   │   ├── forward.py
│   │   ├── layers/
│   │   │   ├── __init__.py
│   │   │   ├── conv/
│   │   │   │   ├── conv_fp16.py
│   │   │   │   ├── conv_fp8.py
│   │   │   │   ├── conv_fp8_tensorwise.py
│   │   │   │   ├── conv_int8.py
│   │   │   │   └── forward.py
│   │   │   └── linear/
│   │   │       ├── forward.py
│   │   │       ├── linear_fp16.py
│   │   │       ├── linear_fp8.py
│   │   │       ├── linear_fp8_tensorwise.py
│   │   │       └── linear_int8.py
│   │   ├── loader.py
│   │   ├── packed_float.py
│   │   ├── packed_int.py
│   │   ├── quantizer.py
│   │   └── triton_mm.py
│   ├── seedvr/
│   │   ├── __init__.py
│   │   ├── config_3b.yaml
│   │   ├── config_7b.yaml
│   │   ├── rotary_embedding.py
│   │   ├── src/
│   │   │   ├── __init__.py
│   │   │   ├── common/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── cache.py
│   │   │   │   ├── config.py
│   │   │   │   ├── decorators.py
│   │   │   │   ├── diffusion/
│   │   │   │   │   ├── __init__.py
│   │   │   │   │   ├── config.py
│   │   │   │   │   ├── samplers/
│   │   │   │   │   │   ├── base.py
│   │   │   │   │   │   └── euler.py
│   │   │   │   │   ├── schedules/
│   │   │   │   │   │   ├── base.py
│   │   │   │   │   │   └── lerp.py
│   │   │   │   │   ├── timesteps/
│   │   │   │   │   │   ├── base.py
│   │   │   │   │   │   └── sampling/
│   │   │   │   │   │       └── trailing.py
│   │   │   │   │   ├── types.py
│   │   │   │   │   └── utils.py
│   │   │   │   ├── distributed/
│   │   │   │   │   ├── __init__.py
│   │   │   │   │   ├── advanced.py
│   │   │   │   │   ├── basic.py
│   │   │   │   │   ├── meta_init_utils.py
│   │   │   │   │   └── ops.py
│   │   │   │   ├── half_precision_fixes.py
│   │   │   │   ├── logger.py
│   │   │   │   ├── partition.py
│   │   │   │   └── seed.py
│   │   │   ├── core/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── generation.py
│   │   │   │   ├── infer.py
│   │   │   │   └── model_manager.py
│   │   │   ├── data/
│   │   │   │   └── image/
│   │   │   │       └── transforms/
│   │   │   │           ├── area_resize.py
│   │   │   │           ├── divisible_crop.py
│   │   │   │           ├── na_resize.py
│   │   │   │           └── side_resize.py
│   │   │   ├── models/
│   │   │   │   ├── dit/
│   │   │   │   │   ├── attention.py
│   │   │   │   │   ├── blocks/
│   │   │   │   │   │   ├── __init__.py
│   │   │   │   │   │   └── mmdit_window_block.py
│   │   │   │   │   ├── embedding.py
│   │   │   │   │   ├── mlp.py
│   │   │   │   │   ├── mm.py
│   │   │   │   │   ├── modulation.py
│   │   │   │   │   ├── na.py
│   │   │   │   │   ├── nablocks/
│   │   │   │   │   │   ├── __init__.py
│   │   │   │   │   │   └── mmsr_block.py
│   │   │   │   │   ├── nadit.py
│   │   │   │   │   ├── normalization.py
│   │   │   │   │   ├── patch.py
│   │   │   │   │   ├── rope.py
│   │   │   │   │   └── window.py
│   │   │   │   ├── dit_v2/
│   │   │   │   │   ├── attention.py
│   │   │   │   │   ├── embedding.py
│   │   │   │   │   ├── mlp.py
│   │   │   │   │   ├── mm.py
│   │   │   │   │   ├── modulation.py
│   │   │   │   │   ├── na.py
│   │   │   │   │   ├── nablocks/
│   │   │   │   │   │   ├── __init__.py
│   │   │   │   │   │   ├── attention/
│   │   │   │   │   │   │   ├── __init__.py
│   │   │   │   │   │   │   └── mmattn.py
│   │   │   │   │   │   └── mmsr_block.py
│   │   │   │   │   ├── nadit.py
│   │   │   │   │   ├── normalization.py
│   │   │   │   │   ├── patch/
│   │   │   │   │   │   ├── __init__.py
│   │   │   │   │   │   └── patch_v1.py
│   │   │   │   │   ├── rope.py
│   │   │   │   │   └── window.py
│   │   │   │   └── video_vae_v3/
│   │   │   │       ├── modules/
│   │   │   │       │   ├── attn_video_vae.py
│   │   │   │       │   ├── causal_inflation_lib.py
│   │   │   │       │   ├── context_parallel_lib.py
│   │   │   │       │   ├── global_config.py
│   │   │   │       │   ├── inflated_layers.py
│   │   │   │       │   ├── inflated_lib.py
│   │   │   │       │   ├── types.py
│   │   │   │       │   └── video_vae.py.old
│   │   │   │       └── s8_c16_t4_inflation_sd3.yaml
│   │   │   ├── optimization/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── memory_manager.py
│   │   │   │   └── performance.py
│   │   │   └── utils/
│   │   │       ├── __init__.py
│   │   │       └── color_fix.py
│   │   └── test.py
│   ├── server.py
│   ├── shared.py
│   ├── shared_defaults.py
│   ├── shared_helpers.py
│   ├── shared_items.py
│   ├── shared_legacy.py
│   ├── shared_state.py
│   ├── styles.py
│   ├── sub_quadratic_attention.py
│   ├── taesd/
│   │   ├── hybrid_small.py
│   │   ├── taehv.py
│   │   ├── taem1.py
│   │   └── taesd.py
│   ├── teacache/
│   │   ├── __init__.py
│   │   ├── teacache_chroma.py
│   │   ├── teacache_cogvideox.py
│   │   ├── teacache_flux.py
│   │   ├── teacache_hidream.py
│   │   ├── teacache_ltx.py
│   │   ├── teacache_lumina2.py
│   │   └── teacache_mochi.py
│   ├── textual_inversion.py
│   ├── theme.py
│   ├── timer.py
│   ├── todo/
│   │   ├── __init__.py
│   │   ├── todo_merge.py
│   │   └── todo_utils.py
│   ├── token_merge.py
│   ├── transformer_cache.py
│   ├── txt2img.py
│   ├── ui.py
│   ├── ui_caption.py
│   ├── ui_common.py
│   ├── ui_components.py
│   ├── ui_control.py
│   ├── ui_control_elements.py
│   ├── ui_control_helpers.py
│   ├── ui_docs.py
│   ├── ui_extensions.py
│   ├── ui_extra_networks.py
│   ├── ui_extra_networks_checkpoints.py
│   ├── ui_extra_networks_history.py
│   ├── ui_extra_networks_lora.py
│   ├── ui_extra_networks_styles.py
│   ├── ui_extra_networks_textual_inversion.py
│   ├── ui_extra_networks_vae.py
│   ├── ui_extra_networks_wildcards.py
│   ├── ui_gallery.py
│   ├── ui_guidance.py
│   ├── ui_history.py
│   ├── ui_img2img.py
│   ├── ui_javascript.py
│   ├── ui_loadsave.py
│   ├── ui_models.py
│   ├── ui_models_load.py
│   ├── ui_postprocessing.py
│   ├── ui_prompt_styles.py
│   ├── ui_sections.py
│   ├── ui_settings.py
│   ├── ui_symbols.py
│   ├── ui_txt2img.py
│   ├── ui_video.py
│   ├── ui_video_vlm.py
│   ├── update.py
│   ├── upscaler.py
│   ├── upscaler_algo.py
│   ├── upscaler_simple.py
│   ├── upscaler_spandrel.py
│   ├── upscaler_vae.py
│   ├── vae/
│   │   ├── sd_vae_approx.py
│   │   ├── sd_vae_fal.py
│   │   ├── sd_vae_natten.py
│   │   ├── sd_vae_ostris.py
│   │   ├── sd_vae_remote.py
│   │   ├── sd_vae_repa.py
│   │   ├── sd_vae_stablecascade.py
│   │   └── sd_vae_taesd.py
│   ├── video.py
│   ├── video_models/
│   │   ├── google_veo.py
│   │   ├── models_def.py
│   │   ├── video_cache.py
│   │   ├── video_load.py
│   │   ├── video_overrides.py
│   │   ├── video_prompt.py
│   │   ├── video_run.py
│   │   ├── video_save.py
│   │   ├── video_ui.py
│   │   ├── video_utils.py
│   │   └── video_vae.py
│   ├── zluda.py
│   └── zluda_installer.py
├── motd
├── package.json
├── pipelines/
│   ├── bria/
│   │   ├── __init__.py
│   │   ├── bria_pipeline.py
│   │   ├── bria_utils.py
│   │   ├── transformer_block.py
│   │   └── transformer_bria.py
│   ├── f_lite/
│   │   ├── __init__.py
│   │   ├── f_lite.model.py
│   │   ├── model.py
│   │   └── pipeline.py
│   ├── flex2/
│   │   └── __init__.py
│   ├── flux/
│   │   ├── flux_bnb.py
│   │   ├── flux_legacy_loader.py
│   │   ├── flux_lora.py
│   │   ├── flux_nf4.py
│   │   ├── flux_nunchaku.py
│   │   └── flux_quanto.py
│   ├── generic.py
│   ├── hdm/
│   │   ├── __init__.py
│   │   ├── hdm/
│   │   │   ├── __init__.py
│   │   │   ├── data/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── base.py
│   │   │   │   └── kohya.py
│   │   │   ├── loader.py
│   │   │   ├── modules/
│   │   │   │   ├── base.py
│   │   │   │   ├── rope.py
│   │   │   │   ├── text_encoders.py
│   │   │   │   ├── unet_patch.py
│   │   │   │   └── xut.py
│   │   │   ├── pipeline.py
│   │   │   ├── trainer/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── callbacks.py
│   │   │   │   ├── diffusion.py
│   │   │   │   └── trainer.py
│   │   │   └── utils/
│   │   │       ├── __init__.py
│   │   │       └── config.py
│   │   └── xut/
│   │       ├── __init__.py
│   │       ├── env.py
│   │       ├── modules/
│   │       │   ├── __init__.py
│   │       │   ├── adaln.py
│   │       │   ├── attention.py
│   │       │   ├── axial_rope.py
│   │       │   ├── layers.py
│   │       │   ├── norm.py
│   │       │   ├── patch.py
│   │       │   ├── time_emb.py
│   │       │   └── transformer.py
│   │       ├── utils/
│   │       │   └── __init__.py
│   │       └── xut.py
│   ├── hidream/
│   │   └── pipeline_hidream_image_editing.py
│   ├── meissonic/
│   │   ├── __init__.py
│   │   ├── pipeline.py
│   │   ├── pipeline_img2img.py
│   │   ├── pipeline_inpaint.py
│   │   ├── scheduler.py
│   │   ├── test.py
│   │   └── transformer.py
│   ├── model_anima.py
│   ├── model_auraflow.py
│   ├── model_bria.py
│   ├── model_chroma.py
│   ├── model_chrono.py
│   ├── model_cogview.py
│   ├── model_cosmos.py
│   ├── model_flex.py
│   ├── model_flite.py
│   ├── model_flux.py
│   ├── model_flux2.py
│   ├── model_flux2_klein.py
│   ├── model_glm.py
│   ├── model_google.py
│   ├── model_hdm.py
│   ├── model_hidream.py
│   ├── model_hunyuandit.py
│   ├── model_hyimage.py
│   ├── model_kandinsky.py
│   ├── model_kolors.py
│   ├── model_longcat.py
│   ├── model_lumina.py
│   ├── model_meissonic.py
│   ├── model_nextstep.py
│   ├── model_omnigen.py
│   ├── model_ovis.py
│   ├── model_pixart.py
│   ├── model_prx.py
│   ├── model_qwen.py
│   ├── model_sana.py
│   ├── model_sd3.py
│   ├── model_stablecascade.py
│   ├── model_wanai.py
│   ├── model_xomni.py
│   ├── model_z_image.py
│   ├── omnigen2/
│   │   ├── __init__.py
│   │   ├── image_processor.py
│   │   ├── models/
│   │   │   ├── attention_processor.py
│   │   │   ├── embeddings.py
│   │   │   └── transformers/
│   │   │       ├── __init__.py
│   │   │       ├── block_lumina2.py
│   │   │       ├── repo.py
│   │   │       └── transformer_omnigen2.py
│   │   └── pipeline_omnigen2.py
│   ├── qwen/
│   │   ├── __init__.py
│   │   ├── qwen_nunchaku.py
│   │   └── qwen_pruning.py
│   ├── segmoe/
│   │   └── segmoe_model.py
│   ├── wan/
│   │   └── wan_image.py
│   └── xomni/
│       ├── __init__.py
│       ├── configuration_xomni.py
│       ├── modeling_siglip_flux.py
│       ├── modeling_siglip_tokenizer.py
│       ├── modeling_vit.py
│       └── modeling_xomni.py
├── requirements.txt
├── scripts/
│   ├── animatediff.py
│   ├── apg.py
│   ├── automatic_color_inpaint.py
│   ├── blipdiffusion.py
│   ├── consistory/
│   │   ├── __init__.py
│   │   ├── attention_processor.py
│   │   ├── consistory_pipeline.py
│   │   ├── consistory_run.py
│   │   ├── consistory_unet_sdxl.py
│   │   ├── consistory_utils.py
│   │   └── utils/
│   │       ├── general_utils.py
│   │       └── ptp_utils.py
│   ├── consistory_ext.py
│   ├── ctrlx/
│   │   ├── __init__.py
│   │   ├── features.py
│   │   ├── media.py
│   │   ├── sdxl.py
│   │   └── utils.py
│   ├── ctrlx_ext.py
│   ├── custom_code.py
│   ├── daam/
│   │   ├── __init__.py
│   │   ├── evaluate.py
│   │   ├── experiment.py
│   │   ├── heatmap.py
│   │   ├── hook.py
│   │   ├── trace.py
│   │   └── utils.py
│   ├── daam_ext.py
│   ├── demofusion.py
│   ├── differential_diffusion.py
│   ├── example.py
│   ├── flux_enhance.py
│   ├── flux_tools.py
│   ├── freescale/
│   │   ├── __init__.py
│   │   ├── free_lunch_utils.py
│   │   ├── freescale_pipeline.py
│   │   ├── freescale_pipeline_img2img.py
│   │   └── scale_attention.py
│   ├── freescale_ext.py
│   ├── hdr.py
│   ├── image2video.py
│   ├── infiniteyou/
│   │   ├── __init__.py
│   │   ├── pipeline_flux_infusenet.py
│   │   ├── pipeline_infu_flux.py
│   │   └── resampler.py
│   ├── infiniteyou_ext.py
│   ├── init_latents.py
│   ├── instantir/
│   │   ├── __init__.py
│   │   ├── aggregator.py
│   │   ├── ip_adapter/
│   │   │   ├── __init__.py
│   │   │   ├── attention_processor.py
│   │   │   ├── ip_adapter.py
│   │   │   ├── resampler.py
│   │   │   └── utils.py
│   │   ├── lcm_single_step_scheduler.py
│   │   └── sdxl_instantir.py
│   ├── instantir_ext.py
│   ├── ipadapter.py
│   ├── ipinstruct.py
│   ├── kohya_hires_fix.py
│   ├── layerdiffuse/
│   │   ├── __init__.py
│   │   ├── layerdiffuse_loader.py
│   │   └── layerdiffuse_model.py
│   ├── layerdiffuse_ext.py
│   ├── lbm/
│   │   ├── __init__.py
│   │   ├── base/
│   │   │   ├── __init__.py
│   │   │   ├── base_model.py
│   │   │   └── model_config.py
│   │   ├── config.py
│   │   ├── embedders/
│   │   │   ├── __init__.py
│   │   │   ├── base/
│   │   │   │   ├── __init__.py
│   │   │   │   ├── base_conditioner.py
│   │   │   │   └── base_conditioner_config.py
│   │   │   ├── conditioners_wrapper.py
│   │   │   └── latents_concat/
│   │   │       ├── __init__.py
│   │   │       ├── latents_concat_embedder_config.py
│   │   │       └── latents_concat_embedder_model.py
│   │   ├── extract.py
│   │   ├── inference.py
│   │   ├── lbm/
│   │   │   ├── __init__.py
│   │   │   ├── lbm_config.py
│   │   │   └── lbm_model.py
│   │   ├── tiler.py
│   │   ├── unets/
│   │   │   ├── __init__.py
│   │   │   └── unet.py
│   │   ├── utils.py
│   │   └── vae/
│   │       ├── __init__.py
│   │       ├── autoencoderKL.py
│   │       └── autoencoderKL_config.py
│   ├── lbm_ext.py
│   ├── ledits.py
│   ├── loopback.py
│   ├── lut.py
│   ├── mixture_of_diffusers.py
│   ├── mixture_tiling.py
│   ├── mod/
│   │   └── __init__.py
│   ├── mulan.py
│   ├── nudenet/
│   │   ├── bannedwords.py
│   │   ├── imageguard.py
│   │   ├── langdetect.py
│   │   └── nudenet.py
│   ├── nudenet_ext.py
│   ├── outpainting_mk_2.py
│   ├── pixelsmith/
│   │   ├── __init__.py
│   │   ├── autoencoder_kl.py
│   │   ├── pixelsmith_pipeline.py
│   │   └── vae.py
│   ├── pixelsmith_ext.py
│   ├── poor_mans_outpainting.py
│   ├── postprocessing_codeformer.py
│   ├── postprocessing_gfpgan.py
│   ├── postprocessing_pixelart.py
│   ├── postprocessing_upscale.py
│   ├── postprocessing_video.py
│   ├── prompt_enhance.py
│   ├── prompt_matrix.py
│   ├── prompts_from_file.py
│   ├── pulid/
│   │   ├── __init__.py
│   │   ├── attention_processor.py
│   │   ├── encoders_transformer.py
│   │   ├── eva_clip/
│   │   │   ├── __init__.py
│   │   │   ├── constants.py
│   │   │   ├── eva_vit_model.py
│   │   │   ├── factory.py
│   │   │   ├── hf_configs.py
│   │   │   ├── hf_model.py
│   │   │   ├── loss.py
│   │   │   ├── model.py
│   │   │   ├── model_configs/
│   │   │   │   ├── EVA01-CLIP-B-16.json
│   │   │   │   ├── EVA01-CLIP-g-14-plus.json
│   │   │   │   ├── EVA01-CLIP-g-14.json
│   │   │   │   ├── EVA02-CLIP-B-16.json
│   │   │   │   ├── EVA02-CLIP-L-14-336.json
│   │   │   │   ├── EVA02-CLIP-L-14.json
│   │   │   │   ├── EVA02-CLIP-bigE-14-plus.json
│   │   │   │   └── EVA02-CLIP-bigE-14.json
│   │   │   ├── modified_resnet.py
│   │   │   ├── openai.py
│   │   │   ├── pretrained.py
│   │   │   ├── rope.py
│   │   │   ├── timm_model.py
│   │   │   ├── tokenizer.py
│   │   │   ├── transform.py
│   │   │   ├── transformer.py
│   │   │   └── utils.py
│   │   ├── pulid_flux.py
│   │   ├── pulid_sampling.py
│   │   ├── pulid_sdxl.py
│   │   └── pulid_utils.py
│   ├── pulid_ext.py
│   ├── regional_prompting.py
│   ├── resadapter.py
│   ├── sd_upscale.py
│   ├── skip_layer_guidance.py
│   ├── softfill.py
│   ├── stablevideodiffusion.py
│   ├── style_aligned/
│   │   ├── inversion.py
│   │   └── sa_handler.py
│   ├── style_aligned_ext.py
│   ├── t_gate.py
│   ├── text2video.py
│   ├── tiling.py
│   ├── xadapter/
│   │   ├── adapter.py
│   │   ├── pipeline_sd_xl_adapter.py
│   │   ├── pipeline_sd_xl_adapter_controlnet.py
│   │   ├── pipeline_sd_xl_adapter_controlnet_img2img.py
│   │   ├── unet_adapter.py
│   │   ├── utils.py
│   │   └── xadapter_hijacks.py
│   ├── xadapter_ext.py
│   ├── xyz/
│   │   ├── xyz_grid_classes.py
│   │   ├── xyz_grid_draw.py
│   │   └── xyz_grid_shared.py
│   ├── xyz_grid.py
│   └── xyz_grid_on.py
├── webui.bat
├── webui.ps1
├── webui.py
└── webui.sh

SYMBOL INDEX (9937 symbols across 1009 files)

FILE: cli/api-checkpoint.py
  function auth (line 21) | def auth():
  function get (line 27) | def get(endpoint: str, dct: dict = None):

FILE: cli/api-control.py
  function auth (line 27) | def auth():
  function post (line 33) | def post(endpoint: str, dct: dict = None):
  function encode (line 41) | def encode(f):
  function generate (line 53) | def generate(args): # pylint: disable=redefined-outer-name

FILE: cli/api-detect.py
  function auth (line 20) | def auth():
  function post (line 26) | def post(endpoint: str, dct: dict = None):
  function encode (line 34) | def encode(f):
  function detect (line 46) | def detect(args): # pylint: disable=redefined-outer-name

FILE: cli/api-enhance.py
  function auth (line 21) | def auth():
  function post (line 27) | def post(endpoint: str, dct: dict = None):
  function encode (line 35) | def encode(f):
  function enhance (line 51) | def enhance(args): # pylint: disable=redefined-outer-name

FILE: cli/api-faceid.py
  function auth (line 26) | def auth():
  function post (line 32) | def post(endpoint: str, dct: dict = None):
  function encode (line 40) | def encode(f):
  function generate (line 52) | def generate(args): # pylint: disable=redefined-outer-name

FILE: cli/api-grid.py
  class Options (line 16) | class Options: # set default parameters here
  class Server (line 30) | class Server: # set server and save options here or use command line arg...
  function post (line 49) | def post():
  function generate (line 61) | def generate(x: int, y: int): # pylint: disable=redefined-outer-name
  function merge (line 82) | def merge(images: list[Image.Image], horizontal: bool, labels: list[str]...
  function grid (line 102) | def grid(x_file: str, y_file: str):

FILE: cli/api-img2img.py
  function auth (line 26) | def auth():
  function post (line 32) | def post(endpoint: str, dct: dict = None):
  function encode (line 40) | def encode(f):
  function generate (line 52) | def generate(args): # pylint: disable=redefined-outer-name

FILE: cli/api-info.py
  function auth (line 21) | def auth():
  function get (line 27) | def get(endpoint: str, dct: dict = None):
  function post (line 35) | def post(endpoint: str, dct: dict = None):
  function info (line 43) | def info(args): # pylint: disable=redefined-outer-name

FILE: cli/api-interrogate.py
  function decode (line 21) | def decode(encoding):
  function encode (line 27) | def encode(f):
  function print_summary (line 39) | def print_summary():
  function interrogate (line 46) | async def interrogate(f):
  function main (line 87) | async def main():

FILE: cli/api-json.py
  function auth (line 25) | def auth():
  function post (line 31) | def post(endpoint: str, payload: dict = None):

FILE: cli/api-mask.py
  function auth (line 23) | def auth():
  function get (line 29) | def get(endpoint: str, dct: dict = None):
  function post (line 37) | def post(endpoint: str, dct: dict = None):
  function info (line 45) | def info(args): # pylint: disable=redefined-outer-name

FILE: cli/api-model.js
  function options (line 12) | async function options(data) {
  function main (line 22) | async function main() {

FILE: cli/api-preprocess.py
  function auth (line 23) | def auth():
  function get (line 29) | def get(endpoint: str, dct: dict = None):
  function post (line 37) | def post(endpoint: str, dct: dict = None):
  function info (line 45) | def info(args): # pylint: disable=redefined-outer-name

FILE: cli/api-progress.py
  class Dot (line 14) | class Dot(dict):
  function progress (line 34) | def progress():

FILE: cli/api-pulid.js
  function b64 (line 15) | function b64(file) {
  function options (line 24) | function options() {
  function init (line 58) | function init() {
  function main (line 70) | async function main() {

FILE: cli/api-txt2img.js
  function main (line 27) | async function main() {

FILE: cli/api-txt2img.py
  function auth (line 25) | def auth():
  function post (line 31) | def post(endpoint: str, dct: dict = None):
  function generate (line 39) | def generate(args): # pylint: disable=redefined-outer-name

FILE: cli/api-upscale.py
  function auth (line 21) | def auth():
  function get (line 27) | def get(endpoint: str, dct: dict = None):
  function post (line 35) | def post(endpoint: str, dct: dict = None):
  function encode (line 43) | def encode(f):
  function upscale (line 56) | def upscale(args): # pylint: disable=redefined-outer-name

FILE: cli/api-vqa.py
  function auth (line 21) | def auth():
  function get (line 27) | def get(endpoint: str, dct: dict = None):
  function post (line 35) | def post(endpoint: str, dct: dict = None):
  function info (line 43) | def info(args): # pylint: disable=redefined-outer-name

FILE: cli/api-xyz.py
  function auth (line 27) | def auth():
  function post (line 33) | def post(endpoint: str, dct: dict = None):
  function generate (line 41) | def generate(args): # pylint: disable=redefined-outer-name

FILE: cli/api-xyzenum.py
  function auth (line 21) | def auth():
  function get (line 27) | def get(endpoint: str, dct: dict = None):

FILE: cli/civitai-search.py
  class ModelImage (line 18) | class ModelImage():
    method __init__ (line 19) | def __init__(self, dct: dict):
    method __str__ (line 29) | def __str__(self):
  class ModelFile (line 33) | class ModelFile():
    method __init__ (line 34) | def __init__(self, dct: dict):
    method __str__ (line 45) | def __str__(self):
  class ModelVersion (line 50) | class ModelVersion():
    method __init__ (line 51) | def __init__(self, dct: dict):
    method __str__ (line 67) | def __str__(self):
  class Model (line 72) | class Model():
    method __init__ (line 73) | def __init__(self, dct: dict):
    method __str__ (line 92) | def __str__(self):
  function search_civitai (line 96) | def search_civitai(
  function models_to_dct (line 167) | def models_to_dct(all_models:list, model_id:int=None):
  function print_models (line 184) | def print_models(models: list[Model]):

FILE: cli/download-file.py
  function get_filename (line 20) | def get_filename(args, res):
  function download_requests (line 25) | def download_requests(args):
  function download_urllib (line 39) | def download_urllib(args):
  function download_urllib3 (line 58) | def download_urllib3(args):
  function download_httpx (line 76) | def download_httpx(args):

FILE: cli/gen-styles.py
  function pil_to_b64 (line 27) | def pil_to_b64(img: Image, size: int, quality: int):
  function post (line 36) | def post(endpoint: str, dct: dict = None):

FILE: cli/generate.py
  function grid (line 45) | def grid(data):
  function exif (line 63) | def exif(info, i = None, op = 'generate'):
  function randomize (line 83) | def randomize(lst):
  function prompt (line 90) | def prompt(params): # generate dynamic prompt or use one if provided
  function sampler (line 110) | def sampler(params, options): # find sampler
  function generate (line 123) | async def generate(prompt = None, options = None, quiet = False): # pyli...
  function upscale (line 158) | async def upscale(data):
  function init (line 175) | async def init():
  function args (line 219) | def args(): # parse cmd arguments
  function main (line 321) | async def main():

FILE: cli/git-clone.py
  class GitRemoteProgress (line 8) | class GitRemoteProgress(git.RemoteProgress):
    method __init__ (line 12) | def __init__(self, url, folder) -> None:
    method __del__ (line 30) | def __del__(self) -> None:
    method get_curr_op (line 34) | def get_curr_op(cls, op_code: int) -> str:
    method update (line 38) | def update(self, op_code: int, cur_count: str | float, max_count: str ...
  function clone (line 47) | def clone(url: str, folder: str):

FILE: cli/image-encode.py
  function encode (line 10) | def encode(file: str):

FILE: cli/image-exif.py
  class Exif (line 21) | class Exif: # pylint: disable=single-string-used-for-slots
    method __init__ (line 23) | def __init__(self, image = None):
    method __getattr__ (line 31) | def __getattr__(self, attr):
    method load (line 36) | def load(self, img: Image):
    method decode (line 65) | def decode(self, s: bytes):
    method parse (line 84) | def parse(self):
    method get_bytes (line 89) | def get_bytes(self):
  function print_json (line 102) | def print_json(data):
  function read_exif (line 110) | def read_exif(filename: str):

FILE: cli/image-grid.py
  function wrap (line 19) | def wrap(text: str, font: ImageFont.ImageFont, length: int):
  function grid (line 30) | def grid(images, labels = None, width = 0, height = 0, border = 0, squar...

FILE: cli/image-palette.py
  function color_to_df (line 22) | def color_to_df(param):
  function palette (line 34) | def palette(img, params, output):

FILE: cli/image-search.py
  class ImageDB (line 16) | class ImageDB:
    method __init__ (line 19) | def __init__(self,
    method __str__ (line 49) | def __str__(self):
    method init (line 52) | def init(self): # initialize models
    method load (line 65) | def load(self): # load db to disk
    method save (line 80) | def save(self): # save db to disk
    method normalize (line 90) | def normalize(self, embed) -> np.ndarray: # normalize embed before usi...
    method embedding (line 95) | def embedding(self, query: Union[PIL.Image.Image | str]) -> np.ndarray...
    method add (line 118) | def add(self, embed, filename=None, metadata=None): # add embed to db
    method search (line 126) | def search(self, filename: str = None, metadata: str = None, embed: np...
    method decode (line 151) | def decode(self, s: bytes): # decode byte-encoded exif metadata
    method metadata (line 167) | def metadata(self, image: PIL.Image.Image): # get exif metadata from i...
    method image (line 176) | def image(self, filename: str, image=None): # add file/image to db
    method folder (line 189) | def folder(self, folder: str): # add all files from folder to db
    method offload (line 201) | def offload(self): # offload model to cpu

FILE: cli/image-watermark.py
  function get_exif (line 20) | def get_exif(image):
  function set_exif (line 40) | def set_exif(d: dict):
  function get_watermark (line 51) | def get_watermark(image, params):
  function set_watermark (line 59) | def set_watermark(image, params):
  function watermark (line 71) | def watermark(params, file):

FILE: cli/install-stablefast.py
  function install_pip (line 14) | def install_pip(arg: str):
  function get_nightly (line 22) | def get_nightly():
  function install_stable_fast (line 45) | def install_stable_fast():

FILE: cli/load-unet.py
  class StateDictStats (line 7) | class StateDictStats():
    method __repr__ (line 15) | def __repr__(self):
  function set_module_tensor (line 19) | def set_module_tensor(
  function load_unet (line 50) | def load_unet(config_file: str, state_dict: dict, device: torch.device =...
  function load_safetensors (line 73) | def load_safetensors(fn: str):

FILE: cli/localize.js
  function localize (line 28) | async function localize() {

FILE: cli/model-keys.py
  function has (line 7) | def has(obj, attr, *args):
  function remove_entries_after_depth (line 16) | def remove_entries_after_depth(d, depth, current_depth=0):
  function list_to_dict (line 27) | def list_to_dict(flat_list):
  function list_compact (line 41) | def list_compact(flat_list):
  function guess_dct (line 51) | def guess_dct(dct: dict):
  function read_keys (line 69) | def read_keys(fn):
  function main (line 90) | def main():

FILE: cli/model-metadata.py
  function read_metadata (line 8) | def read_metadata(fn):
  function main (line 33) | def main():

FILE: cli/nvidia-smi.py
  function get_nvidia_smi (line 11) | def get_nvidia_smi(output='dict'):

FILE: cli/process.py
  class Result (line 24) | class Result():
    method __init__ (line 25) | def __init__(self, typ: str, fn: str, tag: str = None, requested: list...
  function detect_blur (line 39) | def detect_blur(image: Image):
  function detect_dynamicrange (line 53) | def detect_dynamicrange(image: Image):
  function detect_simmilar (line 72) | def detect_simmilar(image: Image):
  function segmentation (line 85) | def segmentation(res: Result):
  function unload (line 101) | def unload():
  function encode (line 113) | def encode(img):
  function reset (line 121) | def reset():
  function upscale_restore_image (line 129) | def upscale_restore_image(res: Result, upscale: bool = False, restore: b...
  function interrogate_image (line 154) | def interrogate_image(res: Result, tag: str = None):
  function resize_image (line 183) | def resize_image(res: Result):
  function square_image (line 191) | def square_image(res: Result):
  function process_face (line 200) | def process_face(res: Result):
  function process_body (line 224) | def process_body(res: Result):
  function process_original (line 246) | def process_original(res: Result):
  function save_image (line 251) | def save_image(res: Result, folder: str):
  function file (line 265) | def file(filename: str, folder: str, tag = None, requested = []):

FILE: cli/run-benchmark.py
  function txt2img (line 22) | async def txt2img():
  function memstats (line 50) | def memstats():
  function gb (line 67) | def gb(val: float):
  function main (line 71) | async def main():

FILE: cli/sdapi.py
  class AnyThreadEventLoopPolicy (line 36) | class AnyThreadEventLoopPolicy(BaseThreadPolicy):
    method get_event_loop (line 37) | def get_event_loop(self) -> asyncio.AbstractEventLoop:
  function authsync (line 48) | def authsync():
  function auth (line 54) | def auth():
  function result (line 60) | async def result(req):
  function resultsync (line 79) | def resultsync(req: requests.Response):
  function get (line 96) | async def get(endpoint: str, json: dict = None):
  function getsync (line 108) | def getsync(endpoint: str, json: dict = None):
  function post (line 118) | async def post(endpoint: str, json: dict = None):
  function postsync (line 133) | def postsync(endpoint: str, json: dict = None):
  function interrupt (line 139) | async def interrupt():
  function interruptsync (line 151) | def interruptsync():
  function progress (line 162) | async def progress():
  function progresssync (line 173) | def progresssync():
  function get_log (line 179) | def get_log():
  function get_info (line 186) | def get_info():
  function options (line 195) | def options():
  function shutdown (line 201) | def shutdown():
  function session (line 208) | async def session():
  function close (line 228) | async def close():

FILE: cli/search-docs.py
  class Page (line 12) | class Page():
    method __init__ (line 13) | def __init__(self, fn, full: bool = True):
    method read (line 24) | def read(self, full: bool = True):
    method search (line 40) | def search(self, text):
    method get (line 82) | def get(self):
    method __str__ (line 91) | def __str__(self):
  class Pages (line 95) | class Pages():
    method __init__ (line 96) | def __init__(self):
    method build (line 102) | def build(self, full: bool = True):
    method search (line 112) | def search(self, text: str, topk: int = 10, full: bool = True) -> list...

FILE: cli/test-schedulers.py
  function test_scheduler (line 32) | def test_scheduler(name, scheduler_class, config):
  function run_tests (line 151) | def run_tests():

FILE: cli/test-tagger.py
  function find_test_image (line 49) | def find_test_image():
  function create_test_image (line 58) | def create_test_image():
  class TaggerTest (line 68) | class TaggerTest:
    method __init__ (line 71) | def __init__(self):
    method log_pass (line 77) | def log_pass(self, msg):
    method log_fail (line 81) | def log_fail(self, msg):
    method log_skip (line 85) | def log_skip(self, msg):
    method log_warn (line 89) | def log_warn(self, msg):
    method setup (line 93) | def setup(self):
    method cleanup (line 129) | def cleanup(self):
    method print_summary (line 143) | def print_summary(self):
    method test_onnx_providers (line 171) | def test_onnx_providers(self):
    method get_memory_stats (line 220) | def get_memory_stats(self):
    method test_memory_management (line 245) | def test_memory_management(self):
    method test_settings_exist (line 457) | def test_settings_exist(self):
    method test_parameter (line 489) | def test_parameter(self, param_name, test_func, waifudiffusion_support...
    method tag (line 521) | def tag(self, tagger, **kwargs):
    method test_threshold (line 533) | def test_threshold(self):
    method test_max_tags (line 560) | def test_max_tags(self):
    method test_use_spaces (line 582) | def test_use_spaces(self):
    method test_escape_brackets (line 613) | def test_escape_brackets(self):
    method test_sort_alpha (line 643) | def test_sort_alpha(self):
    method test_exclude_tags (line 667) | def test_exclude_tags(self):
    method test_show_scores (line 699) | def test_show_scores(self):
    method test_include_rating (line 731) | def test_include_rating(self):
    method test_character_threshold (line 764) | def test_character_threshold(self):
    method test_unified_interface (line 791) | def test_unified_interface(self):
    method run_all_tests (line 820) | def run_all_tests(self):

FILE: cli/util.py
  function set_logfile (line 19) | def set_logfile(logfile):
  function safestring (line 28) | def safestring(text: str):
  function get_memory (line 36) | def get_memory():
  class Map (line 73) | class Map(dict): # pylint: disable=C0205
    method __init__ (line 75) | def __init__(self, *args, **kwargs):
    method __convert (line 92) | def __convert(self, v):
    method __getattr__ (line 98) | def __getattr__(self, attr):
    method __setattr__ (line 100) | def __setattr__(self, key, value):
    method __setitem__ (line 102) | def __setitem__(self, key, value):
    method __delattr__ (line 105) | def __delattr__(self, item):
    method __delitem__ (line 107) | def __delitem__(self, key):

FILE: cli/video-extract.py
  function probe (line 14) | def probe(src: str):
  function extract (line 31) | def extract(src: str, dst: str, rate: float = 0.015, fps: float = 0, sta...

FILE: cli/zluda-python.py
  class Interpreter (line 6) | class Interpreter:
    method __init__ (line 10) | def __init__(self, env_globals, env_locals):
    method execute (line 14) | def execute(self, s: str):
    method from_file (line 20) | def from_file(self, path):

FILE: installer.py
  class Dot (line 17) | class Dot(dict): # dot notation access to dictionary attributes
  function get_console (line 88) | def get_console():
  function get_log (line 92) | def get_log():
  function str_to_bool (line 97) | def str_to_bool(val: str | bool) -> bool: ...
  function str_to_bool (line 99) | def str_to_bool(val: None) -> None: ...
  function str_to_bool (line 100) | def str_to_bool(val: str | bool | None) -> bool | None:
  function install_traceback (line 108) | def install_traceback(suppress: list = []):
  function setup_logging (line 131) | def setup_logging():
  function get_logfile (line 312) | def get_logfile():
  function custom_excepthook (line 318) | def custom_excepthook(exc_type, exc_value, exc_traceback):
  function print_dict (line 330) | def print_dict(d):
  function print_profile (line 336) | def print_profile(profiler: cProfile.Profile, msg: str):
  function package_version (line 342) | def package_version(package):
  function package_spec (line 352) | def package_spec(package):
  function installed (line 365) | def installed(package, friendly: str = None, reload = False, quiet = Fal...
  function uninstall (line 411) | def uninstall(package, quiet = False):
  function run (line 424) | def run(cmd: str, arg: str):
  function pip (line 434) | def pip(arg: str, ignore: bool = False, quiet: bool = True, uv = True):
  function install (line 471) | def install(package, friendly: str = None, ignore: bool = False, reinsta...
  function git (line 490) | def git(arg: str, folder: str = None, ignore: bool = False, optional: bo...
  function branch (line 521) | def branch(folder=None):
  function restart (line 552) | def restart():
  function update (line 558) | def update(folder, keep_branch = False, rebase = True):
  function clone (line 586) | def clone(url, folder, commithash=None):
  function get_platform (line 606) | def get_platform():
  function check_python (line 628) | def check_python(supported_minors=[], experimental_minors=[], reason=None):
  function check_diffusers (line 664) | def check_diffusers():
  function check_transformers (line 689) | def check_transformers():
  function check_onnx (line 716) | def check_onnx():
  function install_cuda (line 727) | def install_cuda():
  function install_rocm_zluda (line 738) | def install_rocm_zluda():
  function install_ipex (line 856) | def install_ipex():
  function install_openvino (line 871) | def install_openvino():
  function install_torch_addons (line 889) | def install_torch_addons():
  function check_cudnn (line 923) | def check_cudnn():
  function check_torch (line 938) | def check_torch():
  function check_modified_files (line 1074) | def check_modified_files():
  function install_packages (line 1096) | def install_packages():
  function run_extension_installer (line 1116) | def run_extension_installer(folder):
  function list_extensions_folder (line 1147) | def list_extensions_folder(folder, quiet=False):
  function install_extensions (line 1159) | def install_extensions(force=False):
  function install_submodules (line 1218) | def install_submodules(force=True):
  function reload (line 1251) | def reload(package, desired=None):
  function ensure_base_requirements (line 1265) | def ensure_base_requirements():
  function install_gradio (line 1316) | def install_gradio():
  function install_pydantic (line 1328) | def install_pydantic():
  function install_opencv (line 1337) | def install_opencv():
  function install_insightface (line 1344) | def install_insightface():
  function install_optional (line 1355) | def install_optional():
  function install_requirements (line 1385) | def install_requirements():
  function set_environment (line 1420) | def set_environment():
  function check_extensions (line 1468) | def check_extensions():
  function get_version (line 1497) | def get_version(force=False):
  function check_ui (line 1557) | def check_ui(ver):
  function check_venv (line 1580) | def check_venv():
  function check_version (line 1611) | def check_version(reset=True): # pylint: disable=unused-argument
  function update_wiki (line 1688) | def update_wiki():
  function check_timestamp (line 1700) | def check_timestamp():
  function add_args (line 1737) | def add_args(parser):
  function parse_args (line 1815) | def parse_args(parser):
  function extensions_preload (line 1828) | def extensions_preload(parser):
  function git_reset (line 1854) | def git_reset(folder='.'):
  function read_options (line 1874) | def read_options():

FILE: javascript/aspectRatioOverlay.js
  function dimensionChange (line 5) | function dimensionChange(e, is_width, is_height) {

FILE: javascript/authWrap.js
  function getToken (line 4) | async function getToken() {
  function authFetch (line 17) | async function authFetch(url, options = {}) {

FILE: javascript/changelog.js
  function getText (line 12) | function getText(el) {
  function changelogNavigate (line 22) | function changelogNavigate(found) {
  function initChangelog (line 60) | async function initChangelog() {

FILE: javascript/civitai.js
  function clearModelDetails (line 15) | function clearModelDetails() {
  function modelCardClick (line 72) | async function modelCardClick(id) {
  function startCivitDownload (line 116) | function startCivitDownload(url, name, type) {
  function startCivitAllDownload (line 125) | function startCivitAllDownload(evt) {
  function downloadCivitModel (line 142) | function downloadCivitModel(modelUrl, modelName, modelType, modelPath, c...

FILE: javascript/contextMenus.js
  function showContextMenu (line 7) | function showContextMenu(event, element, menuEntries) {
  function appendContextMenuOption (line 34) | function appendContextMenuOption(targetElementSelector, entryName, entry...
  function removeContextMenuOption (line 51) | function removeContextMenuOption(id) {
  function addContextMenuEventListener (line 61) | async function addContextMenuEventListener() {
  function initContextMenu (line 150) | async function initContextMenu() {

FILE: javascript/control.js
  function controlInputMode (line 1) | function controlInputMode(inputMode, ...args) {
  function setupControlUI (line 19) | async function setupControlUI() {

FILE: javascript/docs.js
  function clickGitHubWikiPage (line 4) | async function clickGitHubWikiPage(page) {
  function getGitHubWikiPage (line 11) | function getGitHubWikiPage() {
  function clickDocsPage (line 15) | async function clickDocsPage(page) {
  function getDocsPage (line 22) | function getDocsPage() {

FILE: javascript/dragDrop.js
  function isValidImageList (line 1) | function isValidImageList(files) {
  function dropReplaceImage (line 5) | function dropReplaceImage(imgWrap, files) {

FILE: javascript/editAttention.js
  function keyupEditAttention (line 1) | function keyupEditAttention(event) {

FILE: javascript/exifr.js
  function h (line 1) | function h(e,t=l){if(s)try{return"function"==typeof require?Promise.reso...
  function f (line 1) | function f(e,t,i){return t in e?Object.defineProperty(e,t,{value:i,enume...
  function g (line 1) | function g(e){return void 0===e||(e instanceof Map?0===e.size:0===Object...
  function m (line 1) | function m(e){let t=new Error(e);throw delete t.stack,t}
  function S (line 1) | function S(e){return""===(e=function(e){for(;e.endsWith("\0");)e=e.slice...
  function C (line 1) | function C(e){let t=function(e){let t=0;return e.ifd0.enabled&&(t+=1024)...
  function P (line 1) | function P(e){return b?b.decode(e):o?Buffer.from(e).toString("utf8"):dec...
  class I (line 1) | class I{static from(e,t){return e instanceof this&&e.le===t?e:new I(e,vo...
    method from (line 1) | static from(e,t){return e instanceof this&&e.le===t?e:new I(e,void 0,v...
    method constructor (line 1) | constructor(e,t=0,i,n){if("boolean"==typeof n&&(this.le=n),Array.isArr...
    method _swapArrayBuffer (line 1) | _swapArrayBuffer(e){this._swapDataView(new DataView(e))}
    method _swapBuffer (line 1) | _swapBuffer(e){this._swapDataView(new DataView(e.buffer,e.byteOffset,e...
    method _swapDataView (line 1) | _swapDataView(e){this.dataView=e,this.buffer=e.buffer,this.byteOffset=...
    method _lengthToEnd (line 1) | _lengthToEnd(e){return this.byteLength-e}
    method set (line 1) | set(e,t,i=I){return e instanceof DataView||e instanceof I?e=new Uint8A...
    method subarray (line 1) | subarray(e,t){return t=t||this._lengthToEnd(e),new I(this,e,t)}
    method toUint8 (line 1) | toUint8(){return new Uint8Array(this.buffer,this.byteOffset,this.byteL...
    method getUint8Array (line 1) | getUint8Array(e,t){return new Uint8Array(this.buffer,this.byteOffset+e...
    method getString (line 1) | getString(e=0,t=this.byteLength){return P(this.getUint8Array(e,t))}
    method getLatin1String (line 1) | getLatin1String(e=0,t=this.byteLength){let i=this.getUint8Array(e,t);r...
    method getUnicodeString (line 1) | getUnicodeString(e=0,t=this.byteLength){const i=[];for(let n=0;n<t&&e+...
    method getInt8 (line 1) | getInt8(e){return this.dataView.getInt8(e)}
    method getUint8 (line 1) | getUint8(e){return this.dataView.getUint8(e)}
    method getInt16 (line 1) | getInt16(e,t=this.le){return this.dataView.getInt16(e,t)}
    method getInt32 (line 1) | getInt32(e,t=this.le){return this.dataView.getInt32(e,t)}
    method getUint16 (line 1) | getUint16(e,t=this.le){return this.dataView.getUint16(e,t)}
    method getUint32 (line 1) | getUint32(e,t=this.le){return this.dataView.getUint32(e,t)}
    method getFloat32 (line 1) | getFloat32(e,t=this.le){return this.dataView.getFloat32(e,t)}
    method getFloat64 (line 1) | getFloat64(e,t=this.le){return this.dataView.getFloat64(e,t)}
    method getFloat (line 1) | getFloat(e,t=this.le){return this.dataView.getFloat32(e,t)}
    method getDouble (line 1) | getDouble(e,t=this.le){return this.dataView.getFloat64(e,t)}
    method getUintBytes (line 1) | getUintBytes(e,t,i){switch(t){case 1:return this.getUint8(e,i);case 2:...
    method getUint (line 1) | getUint(e,t,i){switch(t){case 8:return this.getUint8(e,i);case 16:retu...
    method toString (line 1) | toString(e){return this.dataView.toString(e,this.constructor.name)}
    method ensureChunk (line 1) | ensureChunk(){}
  function k (line 1) | function k(e,t){m(`${e} '${t}' was not loaded, try using full build of e...
  class w (line 1) | class w extends Map{constructor(e){super(),this.kind=e}get(e,t){return t...
    method constructor (line 1) | constructor(e){super(),this.kind=e}
    method get (line 1) | get(e,t){return this.has(e)||k(this.kind,e),t&&(e in t||function(e,t){...
    method keyList (line 1) | keyList(){return Array.from(this.keys())}
  function x (line 1) | function x(e,t){return"string"==typeof e?v(e,t):i&&!n&&e instanceof HTML...
  function v (line 1) | function v(e,t){return(n=e).startsWith("data:")||n.length>1e4?R(e,t,"bas...
  function M (line 1) | async function M(e,t,i,n){return D.has(i)?R(e,t,i):n?async function(e,t)...
  function R (line 1) | async function R(e,t,i){let n=new(D.get(i))(e,t);return await n.read(),n}
  class F (line 1) | class F extends Map{get tagKeys(){return this.allKeys||(this.allKeys=Arr...
    method tagKeys (line 1) | get tagKeys(){return this.allKeys||(this.allKeys=Array.from(this.keys(...
    method tagValues (line 1) | get tagValues(){return this.allValues||(this.allValues=Array.from(this...
  function B (line 1) | function B(e,t,i){let n=new F;for(let[e,t]of i)n.set(e,t);if(Array.isArr...
  function E (line 1) | function E(e,t,i){let n,s=e.get(t);for(n of i)s.set(n[0],n[1])}
  class ne (line 1) | class ne{get translate(){return this.translateKeys||this.translateValues...
    method translate (line 1) | get translate(){return this.translateKeys||this.translateValues||this....
  class se (line 1) | class se extends ne{get needed(){return this.enabled||this.deps.size>0}c...
    method needed (line 1) | get needed(){return this.enabled||this.deps.size>0}
    method constructor (line 1) | constructor(e,t,i,n){if(super(),f(this,"enabled",!1),f(this,"skip",new...
    method applyInheritables (line 1) | applyInheritables(e){let t,i;for(t of te)i=e[t],void 0!==i&&(this[t]=i)}
    method translateTagSet (line 1) | translateTagSet(e,t){if(this.dict){let i,n,{tagKeys:s,tagValues:r}=thi...
    method finalizeFilters (line 1) | finalizeFilters(){!this.enabled&&this.deps.size>0?(this.enabled=!0,ue(...
  class oe (line 1) | class oe extends ne{static useCached(e){let t=ae.get(e);return void 0!==...
    method useCached (line 1) | static useCached(e){let t=ae.get(e);return void 0!==t||(t=new this(e),...
    method constructor (line 1) | constructor(e){super(),!0===e?this.setupFromTrue():void 0===e?this.set...
    method setupFromUndefined (line 1) | setupFromUndefined(){let e;for(e of $)this[e]=re[e];for(e of ie)this[e...
    method setupFromTrue (line 1) | setupFromTrue(){let e;for(e of $)this[e]=re[e];for(e of ie)this[e]=re[...
    method setupFromArray (line 1) | setupFromArray(e){let t;for(t of $)this[t]=re[t];for(t of ie)this[t]=r...
    method setupFromObject (line 1) | setupFromObject(e){let t;for(t of(Q.ifd0=Q.ifd0||Q.image,Q.ifd1=Q.ifd1...
    method batchEnableWithBool (line 1) | batchEnableWithBool(e,t){for(let i of e)this[i].enabled=t}
    method batchEnableWithUserValue (line 1) | batchEnableWithUserValue(e,t){for(let i of e){let e=t[i];this[i].enabl...
    method setupGlobalFilters (line 1) | setupGlobalFilters(e,t,i,n=i){if(e&&e.length){for(let e of n)this[e].e...
    method filterNestedSegmentTags (line 1) | filterNestedSegmentTags(){let{ifd0:e,exif:t,xmp:i,iptc:n,icc:s}=this;t...
    method traverseTiffDependencyTree (line 1) | traverseTiffDependencyTree(){let{ifd0:e,exif:t,gps:i,interop:n}=this;n...
    method onlyTiff (line 1) | get onlyTiff(){return!J.map((e=>this[e].enabled)).some((e=>!0===e))&&t...
    method checkLoadedPlugins (line 1) | checkLoadedPlugins(){for(let e of q)this[e].enabled&&!A.has(e)&&k("seg...
  function le (line 1) | function le(e,t){let i,n,s,r,a=[];for(s of t){for(r of(i=N.get(s),n=[],i...
  function he (line 1) | function he(e,t){return void 0!==e?e:void 0!==t?t:void 0}
  function ue (line 1) | function ue(e,t){for(let i of t)e.add(i)}
  class ce (line 1) | class ce{constructor(e){f(this,"parsers",{}),f(this,"output",{}),f(this,...
    method constructor (line 1) | constructor(e){f(this,"parsers",{}),f(this,"output",{}),f(this,"errors...
    method read (line 1) | async read(e){this.file=await x(e,this.options)}
    method setup (line 1) | setup(){if(this.fileParser)return;let{file:e}=this,t=e.getUint16(0);fo...
    method parse (line 1) | async parse(){let{output:e,errors:t}=this;return this.setup(),this.opt...
    method executeParsers (line 1) | async executeParsers(){let{output:e}=this;await this.fileParser.parse(...
    method extractThumbnail (line 1) | async extractThumbnail(){this.setup();let{options:e,file:t}=this,i=A.g...
  function fe (line 1) | async function fe(e,t){let i=new ce(t);return await i.read(e),i.parse()}
  class pe (line 1) | class pe{constructor(e,t,i){f(this,"errors",[]),f(this,"ensureSegmentChu...
    method constructor (line 1) | constructor(e,t,i){f(this,"errors",[]),f(this,"ensureSegmentChunk",(as...
    method injectSegment (line 1) | injectSegment(e,t){this.options[e].enabled&&this.createParser(e,t)}
    method createParser (line 1) | createParser(e,t){let i=new(A.get(e))(t,this.options,this.file);return...
    method createParsers (line 1) | createParsers(e){for(let t of e){let{type:e,chunk:i}=t,n=this.options[...
    method readSegments (line 1) | async readSegments(e){let t=e.map(this.ensureSegmentChunk);await Promi...
  class ge (line 1) | class ge{static findPosition(e,t){let i=e.getUint16(t+2)+2,n="function"=...
    method findPosition (line 1) | static findPosition(e,t){let i=e.getUint16(t+2)+2,n="function"==typeof...
    method parse (line 1) | static parse(e,t={}){return new this(e,new oe({[this.type]:t}),e).pars...
    method normalizeInput (line 1) | normalizeInput(e){return e instanceof I?e:new I(e)}
    method constructor (line 1) | constructor(e,t={},i){f(this,"errors",[]),f(this,"raw",new Map),f(this...
    method translate (line 1) | translate(){this.canTranslate&&(this.translated=this.translateBlock(th...
    method output (line 1) | get output(){return this.translated?this.translated:this.raw?Object.fr...
    method translateBlock (line 1) | translateBlock(e,t){let i=V.get(t),n=G.get(t),s=N.get(t),r=this.option...
    method translateValue (line 1) | translateValue(e,t){return t[e]||t.DEFAULT||e}
    method assignToOutput (line 1) | assignToOutput(e,t){this.assignObjectToOutput(e,this.constructor.type,t)}
    method assignObjectToOutput (line 1) | assignObjectToOutput(e,t,i){if(this.globalOptions.mergeOutput)return O...
  function me (line 1) | function me(e){return 192===e||194===e||196===e||219===e||221===e||218==...
  function Se (line 1) | function Se(e){return e>=224&&e<=239}
  function Ce (line 1) | function Ce(e,t,i){for(let[n,s]of A)if(s.canHandle(e,t,i))return n}
  class ye (line 1) | class ye extends pe{constructor(...e){super(...e),f(this,"appSegments",[...
    method constructor (line 1) | constructor(...e){super(...e),f(this,"appSegments",[]),f(this,"jpegSeg...
    method canHandle (line 1) | static canHandle(e,t){return 65496===t}
    method parse (line 1) | async parse(){await this.findAppSegments(),await this.readSegments(thi...
    method setupSegmentFinderArgs (line 1) | setupSegmentFinderArgs(e){!0===e?(this.findAll=!0,this.wanted=new Set(...
    method findAppSegments (line 1) | async findAppSegments(e=0,t){this.setupSegmentFinderArgs(t);let{file:i...
    method findAppSegmentsInRange (line 1) | findAppSegmentsInRange(e,t){t-=2;let i,n,s,r,a,o,{file:l,findAll:h,wan...
    method mergeMultiSegments (line 1) | mergeMultiSegments(){if(!this.appSegments.some((e=>e.multiSegment)))re...
    method getSegment (line 1) | getSegment(e){return this.appSegments.find((t=>t.type===e))}
    method getOrFindSegment (line 1) | async getOrFindSegment(e){let t=this.getSegment(e);return void 0===t&&...
  class Pe (line 1) | class Pe extends ge{parseHeader(){var e=this.chunk.getUint16();18761===e...
    method parseHeader (line 1) | parseHeader(){var e=this.chunk.getUint16();18761===e?this.le=!0:19789=...
    method parseTags (line 1) | parseTags(e,t,i=new Map){let{pick:n,skip:s}=this.options[t];n=new Set(...
    method parseTag (line 1) | parseTag(e,t,i){let{chunk:n}=this,s=n.getUint16(e+2),r=n.getUint32(e+4...
    method parseTagValue (line 1) | parseTagValue(e,t){let{chunk:i}=this;switch(e){case 1:return i.getUint...
  class Ie (line 1) | class Ie extends Pe{static canHandle(e,t){return 225===e.getUint8(t+1)&&...
    method canHandle (line 1) | static canHandle(e,t){return 225===e.getUint8(t+1)&&1165519206===e.get...
    method parse (line 1) | async parse(){this.parseHeader();let{options:e}=this;return e.ifd0.ena...
    method safeParse (line 1) | safeParse(e){let t=this[e]();return void 0!==t.catch&&(t=t.catch(this....
    method findIfd0Offset (line 1) | findIfd0Offset(){void 0===this.ifd0Offset&&(this.ifd0Offset=this.chunk...
    method findIfd1Offset (line 1) | findIfd1Offset(){if(void 0===this.ifd1Offset){this.findIfd0Offset();le...
    method parseBlock (line 1) | parseBlock(e,t){let i=new Map;return this[t]=i,this.parseTags(e,t,i),i}
    method parseIfd0Block (line 1) | async parseIfd0Block(){if(this.ifd0)return;let{file:e}=this;this.findI...
    method parseExifBlock (line 1) | async parseExifBlock(){if(this.exif)return;if(this.ifd0||await this.pa...
    method unpack (line 1) | unpack(e,t){let i=e.get(t);i&&1===i.length&&e.set(t,i[0])}
    method parseGpsBlock (line 1) | async parseGpsBlock(){if(this.gps)return;if(this.ifd0||await this.pars...
    method parseInteropBlock (line 1) | async parseInteropBlock(){if(!this.interop&&(this.ifd0||await this.par...
    method parseThumbnailBlock (line 1) | async parseThumbnailBlock(e=!1){if(!this.ifd1&&!this.ifd1Parsed&&(!thi...
    method extractThumbnail (line 1) | async extractThumbnail(){if(this.headerParsed||this.parseHeader(),this...
    method image (line 1) | get image(){return this.ifd0}
    method thumbnail (line 1) | get thumbnail(){return this.ifd1}
    method createOutput (line 1) | createOutput(){let e,t,i,n={};for(t of Q)if(e=this[t],!g(e))if(i=this....
    method assignToOutput (line 1) | assignToOutput(e,t){if(this.globalOptions.mergeOutput)Object.assign(e,...
  function ke (line 1) | function ke(e,t,i,n){var s=e+t/60+i/3600;return"S"!==n&&"W"!==n||(s*=-1),s}
  function De (line 1) | async function De(e){let t=new ce(Ae);await t.read(e);let i=await t.pars...
  function xe (line 1) | async function xe(e){let t=new ce(Oe);await t.read(e);let i=await t.extr...
  function ve (line 1) | async function ve(e){let t=await this.thumbnail(e);if(void 0!==t){let e=...
  function Re (line 1) | async function Re(e){let t=new ce(Me);await t.read(e);let i=await t.pars...
  function Ue (line 1) | async function Ue(t){let i=await Re(t);return Object.assign({canvas:e.ro...
  class Fe (line 1) | class Fe extends I{constructor(...e){super(...e),f(this,"ranges",new Be)...
    method constructor (line 1) | constructor(...e){super(...e),f(this,"ranges",new Be),0!==this.byteLen...
    method _tryExtend (line 1) | _tryExtend(e,t,i){if(0===e&&0===this.byteLength&&i){let e=new DataView...
    method _extend (line 1) | _extend(e){let t;t=o?r.allocUnsafe(e):new Uint8Array(e);let i=new Data...
    method subarray (line 1) | subarray(e,t,i=!1){return t=t||this._lengthToEnd(e),i&&this._tryExtend...
    method set (line 1) | set(e,t,i=!1){i&&this._tryExtend(t,e.byteLength,e);let n=super.set(e,t...
    method ensureChunk (line 1) | async ensureChunk(e,t){this.chunked&&(this.ranges.available(e,t)||awai...
    method available (line 1) | available(e,t){return this.ranges.available(e,t)}
  class Be (line 1) | class Be{constructor(){f(this,"list",[])}get length(){return this.list.l...
    method constructor (line 1) | constructor(){f(this,"list",[])}
    method length (line 1) | get length(){return this.list.length}
    method add (line 1) | add(e,t,i=0){let n=e+t,s=this.list.filter((t=>Ee(e,t.offset,n)||Ee(e,t...
    method available (line 1) | available(e,t){let i=e+t;return this.list.some((t=>t.offset<=e&&i<=t.e...
  function Ee (line 1) | function Ee(e,t,i){return e<=t&&t<=i}
  class Ne (line 1) | class Ne extends Fe{constructor(e,t){super(0),f(this,"chunksRead",0),thi...
    method constructor (line 1) | constructor(e,t){super(0),f(this,"chunksRead",0),this.input=e,this.opt...
    method readWhole (line 1) | async readWhole(){this.chunked=!1,await this.readChunk(this.nextChunkO...
    method readChunked (line 1) | async readChunked(){this.chunked=!0,await this.readChunk(0,this.option...
    method readNextChunk (line 1) | async readNextChunk(e=this.nextChunkOffset){if(this.fullyRead)return t...
    method readChunk (line 1) | async readChunk(e,t){if(this.chunksRead++,0!==(t=this.safeWrapAddress(...
    method safeWrapAddress (line 1) | safeWrapAddress(e,t){return void 0!==this.size&&e+t>this.size?Math.max...
    method nextChunkOffset (line 1) | get nextChunkOffset(){if(0!==this.ranges.list.length)return this.range...
    method canReadNextChunk (line 1) | get canReadNextChunk(){return this.chunksRead<this.options.chunkLimit}
    method fullyRead (line 1) | get fullyRead(){return void 0!==this.size&&this.nextChunkOffset===this...
    method read (line 1) | read(){return this.options.chunked?this.readChunked():this.readWhole()}
    method close (line 1) | close(){}
  method readWhole (line 1) | async readWhole(){this.chunked=!1;let e=await U(this.input);this._swapAr...
  method readChunked (line 1) | readChunked(){return this.chunked=!0,this.size=this.input.size,super.rea...
  method _readChunk (line 1) | async _readChunk(e,t){let i=t?e+t:void 0,n=this.input.slice(e,i),s=await...
  method rotateCanvas (line 1) | get rotateCanvas(){return e.rotateCanvas}
  method rotateCss (line 1) | get rotateCss(){return e.rotateCss}
  method readWhole (line 1) | async readWhole(){this.chunked=!1;let e=await L(this.input);e instanceof...
  method _readChunk (line 1) | async _readChunk(e,t){let i=t?e+t-1:void 0,n=this.options.httpHeaders||{...
  class Ve (line 1) | class Ve extends pe{parseBoxes(e=0){let t=[];for(;e<this.file.byteLength...
    method parseBoxes (line 1) | parseBoxes(e=0){let t=[];for(;e<this.file.byteLength-4;){let i=this.pa...
    method parseSubBoxes (line 1) | parseSubBoxes(e){e.boxes=this.parseBoxes(e.start)}
    method findBox (line 1) | findBox(e,t){return void 0===e.boxes&&this.parseSubBoxes(e),e.boxes.fi...
    method parseBoxHead (line 1) | parseBoxHead(e){let t=this.file.getUint32(e),i=this.file.getString(e+4...
    method parseBoxFullHead (line 1) | parseBoxFullHead(e){if(void 0!==e.version)return;let t=this.file.getUi...
  class ze (line 1) | class ze extends Ve{static canHandle(e,t){if(0!==t)return!1;let i=e.getU...
    method canHandle (line 1) | static canHandle(e,t){if(0!==t)return!1;let i=e.getUint16(2);if(i>50)r...
    method parse (line 1) | async parse(){let e=this.file.getUint32(0),t=this.parseBoxHead(e);for(...
    method registerSegment (line 1) | async registerSegment(e,t,i){await this.file.ensureChunk(t,i);let n=th...
    method findIcc (line 1) | async findIcc(e){let t=this.findBox(e,"iprp");if(void 0===t)return;let...
    method findExif (line 1) | async findExif(e){let t=this.findBox(e,"iinf");if(void 0===t)return;le...
    method findExifLocIdInIinf (line 1) | findExifLocIdInIinf(e){this.parseBoxFullHead(e);let t,i,n,s,r=e.start,...
    method get8bits (line 1) | get8bits(e){let t=this.file.getUint8(e);return[t>>4,15&t]}
    method findExtentInIloc (line 1) | findExtentInIloc(e,t){this.parseBoxFullHead(e);let i=e.start,[n,s]=thi...
  class He (line 1) | class He extends ze{}
  class je (line 1) | class je extends ze{}
  function _e (line 1) | function _e(e){return"object"==typeof e&&void 0!==e.length?e[0]:e}
  function Ye (line 1) | function Ye(e){let t=Array.from(e).slice(1);return t[1]>15&&(t=t.map((e=...
  function $e (line 1) | function $e(e){if("string"==typeof e){var[t,i,n,s,r,a]=e.trim().split(/[...
  function Je (line 1) | function Je(e){if("string"==typeof e)return e;let t=[];if(0===e[1]&&0===...
  function qe (line 1) | function qe(e,t){return e<<8|t}
  class et (line 1) | class et extends ge{static canHandle(e,t){return 225===e.getUint8(t+1)&&...
    method canHandle (line 1) | static canHandle(e,t){return 225===e.getUint8(t+1)&&1752462448===e.get...
    method headerLength (line 1) | static headerLength(e,t){return e.getString(t+4,Ze.length)===Ze?79:4+"...
    method findPosition (line 1) | static findPosition(e,t){let i=super.findPosition(e,t);return i.multiS...
    method handleMultiSegments (line 1) | static handleMultiSegments(e){return e.map((e=>e.chunk.getString())).j...
    method normalizeInput (line 1) | normalizeInput(e){return"string"==typeof e?e:I.from(e).getString()}
    method parse (line 1) | parse(e=this.chunk){if(!this.localOptions.parse)return e;e=function(e)...
    method assignToOutput (line 1) | assignToOutput(e,t){if(this.localOptions.parse)for(let[i,n]of Object.e...
  class tt (line 1) | class tt{static findAll(e){return lt(e,/([a-zA-Z0-9-]+):([a-zA-Z0-9-]+)=...
    method findAll (line 1) | static findAll(e){return lt(e,/([a-zA-Z0-9-]+):([a-zA-Z0-9-]+)=("[^"]*...
    method unpackMatch (line 1) | static unpackMatch(e){let t=e[1],i=e[2],n=e[3].slice(1,-1);return n=ht...
    method constructor (line 1) | constructor(e,t,i){this.ns=e,this.name=t,this.value=i}
    method serialize (line 1) | serialize(){return this.value}
  class nt (line 1) | class nt{static findAll(e,t,i){if(void 0!==t||void 0!==i){t=t||it,i=i||i...
    method findAll (line 1) | static findAll(e,t,i){if(void 0!==t||void 0!==i){t=t||it,i=i||it;var n...
    method unpackMatch (line 1) | static unpackMatch(e){let t=e[1],i=e[2],n=e[4],s=e[8];return new nt(t,...
    method constructor (line 1) | constructor(e,t,i,n){this.ns=e,this.name=t,this.attrString=i,this.inne...
    method isPrimitive (line 1) | get isPrimitive(){return void 0!==this.value&&0===this.attrs.length&&0...
    method isListContainer (line 1) | get isListContainer(){return 1===this.children.length&&this.children[0...
    method isList (line 1) | get isList(){let{ns:e,name:t}=this;return"rdf"===e&&("Seq"===t||"Bag"=...
    method isListItem (line 1) | get isListItem(){return"rdf"===this.ns&&"li"===this.name}
    method serialize (line 1) | serialize(){if(0===this.properties.length&&void 0===this.value)return;...
  function st (line 1) | function st(e,t){let i=e.serialize();void 0!==i&&(t[e.name]=i)}
  function lt (line 1) | function lt(e,t){let i,n=[];if(!e)return n;for(;null!==(i=t.exec(e));)n....
  function ht (line 1) | function ht(e){if(function(e){return null==e||"null"===e||"undefined"===...
  method rotateCanvas (line 1) | get rotateCanvas(){return e.rotateCanvas}
  method rotateCss (line 1) | get rotateCss(){return e.rotateCss}
  function gt (line 1) | async function gt(e,t,i){let n=i[e];return n.enabled=!0,n.parse=!0,A.get...
  method readWhole (line 1) | async readWhole(){this.chunked=!1,this.fs=await mt;let e=await this.fs.r...
  method readChunked (line 1) | async readChunked(){this.chunked=!0,this.fs=await mt,await this.open(),a...
  method open (line 1) | async open(){void 0===this.fh&&(this.fh=await this.fs.open(this.input,"r...
  method _readChunk (line 1) | async _readChunk(e,t){void 0===this.fh&&await this.open(),e+t>this.size&...
  method close (line 1) | async close(){if(this.fh){let e=this.fh;this.fh=void 0,await e.close()}}
  method constructor (line 1) | constructor(...e){super(...e),this.input=this.input.replace(/^data:([^;]...
  method _readChunk (line 1) | async _readChunk(e,t){let i,n,s=this.input;void 0===e?(e=0,i=0,n=0):(i=4...
  class St (line 1) | class St extends pe{static canHandle(e,t){return 18761===t||19789===t}ex...
    method canHandle (line 1) | static canHandle(e,t){return 18761===t||19789===t}
    method extendOptions (line 1) | extendOptions(e){let{ifd0:t,xmp:i,iptc:n,icc:s}=e;i.enabled&&t.deps.ad...
    method parse (line 1) | async parse(){let{tiff:e,xmp:t,iptc:i,icc:n}=this.options;if(e.enabled...
    method adaptTiffPropAsSegment (line 1) | adaptTiffPropAsSegment(e){if(this.parsers.tiff[e]){let t=this.parsers....
  class Tt (line 1) | class Tt extends pe{constructor(...e){super(...e),f(this,"catchError",(e...
    method constructor (line 1) | constructor(...e){super(...e),f(this,"catchError",(e=>this.errors.push...
    method canHandle (line 1) | static canHandle(e,t){return 35152===t&&2303741511===e.getUint32(0)&&2...
    method parse (line 1) | async parse(){let{file:e}=this;await this.findPngChunksInRange("‰PNG\r...
    method findPngChunksInRange (line 1) | async findPngChunksInRange(e,t){let{file:i}=this;for(;e<t;){let t=i.ge...
    method parseTextChunks (line 1) | parseTextChunks(){let e=this.metaChunks.filter((e=>e.type===It));for(l...
    method injectKeyValToIhdr (line 1) | injectKeyValToIhdr(e,t){let i=this.parsers.ihdr;i&&i.raw.set(e,t)}
    method findIhdr (line 1) | findIhdr(){let e=this.metaChunks.find((e=>e.type===bt));e&&!1!==this.o...
    method findExif (line 1) | async findExif(){let e=this.metaChunks.find((e=>"exif"===e.type));e&&t...
    method findXmp (line 1) | async findXmp(){let e=this.metaChunks.filter((e=>e.type===kt));for(let...
    method findIcc (line 1) | async findIcc(){let e=this.metaChunks.find((e=>e.type===Pt));if(!e)ret...
  class Dt (line 1) | class Dt extends ge{static canHandle(e,t){return 224===e.getUint8(t+1)&&...
    method canHandle (line 1) | static canHandle(e,t){return 224===e.getUint8(t+1)&&1246120262===e.get...
    method parse (line 1) | parse(){return this.parseTags(),this.translate(),this.output}
    method parseTags (line 1) | parseTags(){this.raw=new Map([[0,this.chunk.getUint16(0)],[2,this.chun...
  class Ot (line 1) | class Ot extends ge{parse(){return this.parseTags(),this.translate(),thi...
    method parse (line 1) | parse(){return this.parseTags(),this.translate(),this.output}
    method parseTags (line 1) | parseTags(){this.raw=new Map([[0,this.chunk.getUint32(0)],[4,this.chun...
  class vt (line 1) | class vt extends ge{static canHandle(e,t){return 226===e.getUint8(t+1)&&...
    method canHandle (line 1) | static canHandle(e,t){return 226===e.getUint8(t+1)&&1229144927===e.get...
    method findPosition (line 1) | static findPosition(e,t){let i=super.findPosition(e,t);return i.chunkN...
    method handleMultiSegments (line 1) | static handleMultiSegments(e){return function(e){let t=function(e){let...
    method parse (line 1) | parse(){return this.raw=new Map,this.parseHeader(),this.parseTags(),th...
    method parseHeader (line 1) | parseHeader(){let{raw:e}=this;this.chunk.byteLength<84&&m("ICC header ...
    method parseTags (line 1) | parseTags(){let e,t,i,n,s,{raw:r}=this,a=this.chunk.getUint32(128),o=1...
    method parseTag (line 1) | parseTag(e,t,i){switch(e){case"desc":return this.parseDesc(t);case"mlu...
    method parseDesc (line 1) | parseDesc(e){let t=this.chunk.getUint32(e+8)-1;return S(this.chunk.get...
    method parseText (line 1) | parseText(e,t){return S(this.chunk.getString(e+8,t-8))}
    method parseSig (line 1) | parseSig(e){return S(this.chunk.getString(e+8,4))}
    method parseMluc (line 1) | parseMluc(e){let{chunk:t}=this,i=t.getUint32(e+8),n=t.getUint32(e+12),...
    method translateValue (line 1) | translateValue(e,t){return"string"==typeof e?t[e]||t[e.toLowerCase()]|...
  function Rt (line 1) | function Rt(e,t){return S(e.getString(t,4))}
  class Ft (line 1) | class Ft extends ge{static canHandle(e,t,i){return 237===e.getUint8(t+1)...
    method canHandle (line 1) | static canHandle(e,t,i){return 237===e.getUint8(t+1)&&"Photoshop"===e....
    method headerLength (line 1) | static headerLength(e,t,i){let n,s=this.containsIptc8bim(e,t,i);if(voi...
    method containsIptc8bim (line 1) | static containsIptc8bim(e,t,i){for(let n=0;n<i;n++)if(this.isIptcSegme...
    method isIptcSegmentHead (line 1) | static isIptcSegmentHead(e,t){return 56===e.getUint8(t)&&943868237===e...
    method parse (line 1) | parse(){let{raw:e}=this,t=this.chunk.byteLength-1,i=!1;for(let n=0;n<t...
    method pluralizeValue (line 1) | pluralizeValue(e,t){return void 0!==e?e instanceof Array?(e.push(t),e)...

FILE: javascript/extensions.js
  function extensions_apply (line 1) | function extensions_apply(extensions_disabled_list, extensions_update_li...
  function extensions_check (line 13) | function extensions_check(info, extensions_disabled_list, search_text, s...
  function install_extension (line 23) | function install_extension(button, url) {
  function uninstall_extension (line 34) | function uninstall_extension(button, url) {
  function update_extension (line 45) | function update_extension(button, url) {

FILE: javascript/extraNetworks.js
  function showCardDetails (line 60) | function showCardDetails(event) {
  function getCardDetails (line 69) | function getCardDetails(...args) {
  function readCardTags (line 77) | function readCardTags(el, tags) {
  function readCardDescription (line 109) | function readCardDescription(page, item) {
  function getCardsForActivePage (line 121) | function getCardsForActivePage() {
  function filterExtraNetworksForTab (line 130) | async function filterExtraNetworksForTab(searchTerm) {
  function tryToRemoveExtraNetworkFromPrompt (line 216) | function tryToRemoveExtraNetworkFromPrompt(textarea, text) {
  function sortExtraNetworks (line 248) | function sortExtraNetworks(fixed = 'no') {
  function refreshENInput (line 282) | function refreshENInput(tabName) {
  function markSelectedCards (line 287) | async function markSelectedCards(selected, page = '') {
  function extractLoraNames (line 296) | function extractLoraNames(prompt) {
  function cardClicked (line 304) | function cardClicked(textToAdd) {
  function extraNetworksSearchButton (line 314) | function extraNetworksSearchButton(event) {
  function extraNetworksFilterVersion (line 327) | function extraNetworksFilterVersion(event) {
  function selectStyle (line 348) | function selectStyle(name) {
  function applyStyles (line 355) | function applyStyles(styles) {
  function quickApplyStyle (line 371) | function quickApplyStyle() {
  function quickSaveStyle (line 377) | function quickSaveStyle() {
  function selectHistory (line 388) | function selectHistory(id) {
  function closeDetailsEN (line 396) | function closeDetailsEN(...args) {
  function refeshDetailsEN (line 407) | function refeshDetailsEN(args) {
  function refreshENpage (line 417) | function refreshENpage() {
  function setupExtraNetworksForTab (line 427) | function setupExtraNetworksForTab(tabName) {
  function showNetworks (line 599) | async function showNetworks() {
  function setupExtraNetworks (line 607) | async function setupExtraNetworks() {

FILE: javascript/gallery.js
  constant SUPPORTED_EXTENSIONS (line 27) | const SUPPORTED_EXTENSIONS = ['jpg', 'jpeg', 'png', 'webp', 'tiff', 'jp2...
  function getVisibleGalleryFiles (line 29) | function getVisibleGalleryFiles() {
  function updateGallerySelectionClasses (line 34) | function updateGallerySelectionClasses(files = gallerySelection.files, i...
  function refreshGallerySelection (line 40) | function refreshGallerySelection() {
  function resetGallerySelection (line 48) | function resetGallerySelection() {
  function applyGallerySelection (line 54) | function applyGallerySelection(index, { send = true } = {}) {
  function setGallerySelectionByElement (line 69) | function setGallerySelectionByElement(element, options) {
  function buildGalleryFileUrl (line 79) | function buildGalleryFileUrl(path) {
  function awaitForOutstanding (line 92) | async function awaitForOutstanding(num, signal) {
  function awaitForGallery (line 102) | async function awaitForGallery(expectedSize, signal) {
  function updateGalleryStyles (line 107) | function updateGalleryStyles() {
  class SimpleProgressBar (line 177) | class SimpleProgressBar {
    method constructor (line 189) | constructor(monitoredSet) {
    method start (line 201) | start(total) {
    method attachTo (line 209) | attachTo(element) {
    method clear (line 216) | clear() {
    method #update (line 226) | #update(loaded, max) {
    method #stop (line 246) | #stop() {
  class SimpleFunctionQueue (line 255) | class SimpleFunctionQueue {
    method constructor (line 260) | constructor(id) {
    method abortLogger (line 266) | static abortLogger(identifier, result) {
    method enqueue (line 280) | enqueue(config) {
    method #tryRunNext (line 292) | async #tryRunNext() {
  class GalleryFolder (line 316) | class GalleryFolder extends HTMLElement {
    method constructor (line 321) | constructor(folder) {
    method connectedCallback (line 338) | connectedCallback() {
    method disconnectedCallback (line 353) | async disconnectedCallback() {
    method getActive (line 362) | static getActive() {
    method updateSelected (line 366) | updateSelected() {
  function delayFetchThumb (line 377) | async function delayFetchThumb(fn, signal) {
  class GalleryFile (line 398) | class GalleryFile extends HTMLElement {
    method constructor (line 402) | constructor(folder, file, signal) {
    method connectedCallback (line 421) | async connectedCallback() {
  function createThumb (line 514) | async function createThumb(img) {
  function handleSeparator (line 531) | async function handleSeparator(separator) {
  function addSeparators (line 558) | async function addSeparators() {
  function getHash (line 645) | async function getHash(str, algo = 'SHA-256') {
  function updateStatusWithSort (line 663) | function updateStatusWithSort(...messages) {
  function injectGalleryStatusCSS (line 688) | async function injectGalleryStatusCSS() {
  function wsConnect (line 722) | async function wsConnect(socket, timeout = 5000) {
  function gallerySearch (line 736) | async function gallerySearch() {
  function gallerySort (line 840) | async function gallerySort(btn) {
  function showCleaningMsg (line 962) | function showCleaningMsg(count, all = false) {
  function thumbCacheCleanup (line 995) | async function thumbCacheCleanup(folder, imgCount, controller, force = f...
  function resetGalleryState (line 1051) | function resetGalleryState(reason) {
  function clearCacheIfDisabled (line 1062) | function clearCacheIfDisabled(browser_cache) {
  function addCacheClearLabel (line 1090) | function addCacheClearLabel() { // Don't use async
  function fetchFilesHT (line 1121) | async function fetchFilesHT(evt, controller) {
  function fetchFilesWS (line 1156) | async function fetchFilesWS(evt) { // fetch file-by-file list over webso...
  function updateFolders (line 1224) | async function updateFolders() {
  function monitorGalleries (line 1237) | async function monitorGalleries() {
  function setOverlayAnimation (line 1258) | async function setOverlayAnimation() {
  function galleryClearInit (line 1265) | async function galleryClearInit() {
  function initGalleryAutoRefresh (line 1275) | async function initGalleryAutoRefresh() {
  function blockQueueUntilReady (line 1312) | async function blockQueueUntilReady() {
  function initGallery (line 1328) | async function initGallery() { // triggered on gradio change to monitor ...

FILE: javascript/generationParams.js
  function attachGalleryListeners (line 3) | function attachGalleryListeners(tabName) {
  function initiGenerationParams (line 22) | async function initiGenerationParams() {

FILE: javascript/gpu.js
  function updateGPUChart (line 4) | async function updateGPUChart(mem, load) {
  function updateGPU (line 29) | async function updateGPU() {
  function startGPU (line 60) | async function startGPU() {
  function disableGPU (line 70) | async function disableGPU() {

FILE: javascript/guidance.js
  function getGuidanceDocs (line 15) | function getGuidanceDocs(guider) {

FILE: javascript/hires.js
  function onCalcResolutionHires (line 1) | function onCalcResolutionHires(width, height, hr_scale, hr_resize_x, hr_...

FILE: javascript/history.js
  function refreshHistory (line 4) | function refreshHistory() {

FILE: javascript/imageParams.js
  function initDragDrop (line 1) | async function initDragDrop() {

FILE: javascript/imageViewer.js
  function cycleImageFit (line 6) | function cycleImageFit() {
  function isInViewport (line 18) | function isInViewport(element) {
  function closeModal (line 23) | function closeModal(evt, force = false) {
  function modalImageSwitch (line 34) | function modalImageSwitch(offset) {
  function modalSaveImage (line 70) | function modalSaveImage(event) {
  function modalKeyHandler (line 78) | function modalKeyHandler(event) {
  function getExif (line 97) | async function getExif(el) {
  function displayExif (line 128) | async function displayExif(el) {
  function showModal (line 134) | function showModal(event) {
  function modalDownloadImage (line 151) | function modalDownloadImage() {
  function modalZoomSet (line 164) | function modalZoomSet(modalImage, enable) {
  function setupImageForLightbox (line 169) | function setupImageForLightbox(image) {
  function modalZoomToggle (line 176) | function modalZoomToggle(event) {
  function modalTileToggle (line 183) | function modalTileToggle(event) {
  function modalResetInstance (line 198) | function modalResetInstance(event) {
  function modalToggleParams (line 206) | function modalToggleParams(event) {
  function galleryClickEventHandler (line 217) | function galleryClickEventHandler(event) {
  function bindImageViewer (line 227) | async function bindImageViewer() {
  function initImageViewer (line 237) | async function initImageViewer() {

FILE: javascript/indexdb.js
  function initIndexDB (line 6) | async function initIndexDB() {
  function idbIsReady (line 39) | function idbIsReady() {
  function configureTransactionAbort (line 53) | function configureTransactionAbort({ transaction, signal, resolve, rejec...
  function add (line 74) | async function add(record) {
  function del (line 86) | async function del(hash) {
  function get (line 98) | async function get(hash) {
  function put (line 110) | async function put(record) {
  function idbGetAllKeys (line 122) | async function idbGetAllKeys(index = null, query = null) {
  function idbCount (line 150) | async function idbCount(folder) {
  function idbFolderCleanup (line 179) | async function idbFolderCleanup(keepSet, folder, signal) {
  function idbClearAll (line 196) | async function idbClearAll(signal) {

FILE: javascript/inputAccordion.js
  function inputAccordionChecked (line 1) | function inputAccordionChecked(id, checked) {
  function setupAccordion (line 7) | function setupAccordion(accordion) {
  function initAccordions (line 53) | function initAccordions() {

FILE: javascript/loader.js
  function preloadImages (line 3) | async function preloadImages() {
  function removeSplash (line 29) | async function removeSplash() {
  function createSplash (line 38) | async function createSplash() {

FILE: javascript/logMonitor.js
  function dateToStr (line 7) | function dateToStr(ts) {
  function htmlEscape (line 20) | function htmlEscape(text) {
  function logMonitor (line 24) | async function logMonitor() {
  function initLogMonitor (line 102) | async function initLogMonitor() {

FILE: javascript/logger.js
  function xhrPost (line 82) | function xhrPost(url, data, handler = undefined, errorHandler = undefine...

FILE: javascript/login.js
  function forceLogin (line 25) | function forceLogin() {
  function loginCheck (line 63) | function loginCheck() {

FILE: javascript/monitor.js
  class ConnectionMonitorState (line 1) | class ConnectionMonitorState {
    method getModel (line 8) | static getModel() {
    method trimModelName (line 13) | static trimModelName(name) {
    method setData (line 18) | static setData({ online, updated, commit, branch }) {
    method setElement (line 25) | static setElement(el) {
    method toHTML (line 29) | static toHTML(modelOverride) {
    method updateState (line 40) | static updateState(incomingModel) {
  function updateIndicator (line 48) | async function updateIndicator(online, data, msg) {
  function monitorConnection (line 65) | async function monitorConnection() {

FILE: javascript/notification.js
  function sendNotification (line 6) | async function sendNotification() {

FILE: javascript/panZoom.js
  function r (line 1) | function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==...
  function createPanZoom (line 28) | function createPanZoom(domElement, options) {
  function parseTransformOrigin (line 893) | function parseTransformOrigin(options) {
  function failTransformOrigin (line 904) | function failTransformOrigin(options) {
  function noop (line 917) | function noop() { }
  function validateBounds (line 919) | function validateBounds(bounds) {
  function isNumber (line 936) | function isNumber(x) {
  function isNaN (line 941) | function isNaN(value) {
  function rigidScroll (line 949) | function rigidScroll() {
  function autoRun (line 957) | function autoRun() {
  function createTextSelectionInterceptor (line 1036) | function createTextSelectionInterceptor(useFake) {
  function disabled (line 1074) | function disabled(e) {
  function noop (line 1079) | function noop() {}
  function makeDomController (line 1086) | function makeDomController(domElement, options) {
  function isDomElement (line 1131) | function isDomElement(element) {
  function kinetic (line 1141) | function kinetic(getPoint, scroll, settings) {
  function getCancelAnimationFrame (line 1260) | function getCancelAnimationFrame() {
  function getRequestAnimationFrame (line 1265) | function getRequestAnimationFrame() {
  function makeSvgController (line 1276) | function makeSvgController(svgElement, options) {
  function isSVGElement (line 1349) | function isSVGElement(element) {
  function Transform (line 1355) | function Transform() {
  function animate (line 1379) | function animate(source, target, options) {
  function noop (line 1441) | function noop() { }
  function getScheduler (line 1443) | function getScheduler(scheduler) {
  function rafScheduler (line 1454) | function rafScheduler() {
  function timeoutScheduler (line 1461) | function timeoutScheduler() {
  function makeAggregateRaf (line 1472) | function makeAggregateRaf() {
  function A (line 1535) | function A (aA1, aA2) { return 1.0 - 3.0 * aA2 + 3.0 * aA1; }
  function B (line 1536) | function B (aA1, aA2) { return 3.0 * aA2 - 6.0 * aA1; }
  function C (line 1537) | function C (aA1)      { return 3.0 * aA1; }
  function calcBezier (line 1540) | function calcBezier (aT, aA1, aA2) { return ((A(aA1, aA2) * aT + B(aA1, ...
  function getSlope (line 1543) | function getSlope (aT, aA1, aA2) { return 3.0 * A(aA1, aA2) * aT * aT + ...
  function binarySubdivide (line 1545) | function binarySubdivide (aX, aA, aB, mX1, mX2) {
  function newtonRaphsonIterate (line 1559) | function newtonRaphsonIterate (aX, aGuessT, mX1, mX2) {
  function LinearEasing (line 1571) | function LinearEasing (x) {
  function getTForX (line 1590) | function getTForX (aX) {
  function createEventsStorage (line 1637) | function createEventsStorage(subject) {
  function validateSubject (line 1704) | function validateSubject(subject) {
  function addWheelListener (line 1736) | function addWheelListener(element, listener, useCapture) {
  function removeWheelListener (line 1740) | function removeWheelListener( element, listener, useCapture ) {

FILE: javascript/progressBar.js
  function setRefreshInterval (line 4) | function setRefreshInterval() {
  function pad2 (line 14) | function pad2(x) {
  function formatTime (line 18) | function formatTime(secs) {
  function checkPaused (line 24) | function checkPaused(state) {
  function setProgress (line 36) | function setProgress(res) {
  function requestInterrupt (line 73) | function requestInterrupt() {
  function randomId (line 77) | function randomId() {
  function requestProgress (line 83) | function requestProgress(id_task, progressEl, galleryEl, atEnd = null, o...

FILE: javascript/promptChecker.js
  function checkBrackets (line 6) | function checkBrackets(textArea, counterElt) {
  function setupBracketChecking (line 22) | function setupBracketChecking(idPrompt, idCounter) {
  function initPromptChecker (line 29) | async function initPromptChecker() {

FILE: javascript/script.js
  function sleep (line 1) | async function sleep(ms) {
  function gradioApp (line 5) | function gradioApp() {
  function logFn (line 12) | function logFn(func) {
  function getUICurrentTab (line 22) | function getUICurrentTab() {
  function getUICurrentTabContent (line 26) | function getUICurrentTabContent() {
  function onAfterUiUpdate (line 41) | function onAfterUiUpdate(callback) {
  function onUiUpdate (line 45) | function onUiUpdate(callback) {
  function onUiLoaded (line 49) | function onUiLoaded(callback) {
  function onUiReady (line 53) | function onUiReady(callback) {
  function onUiTabChange (line 57) | function onUiTabChange(callback) {
  function onOptionsChanged (line 61) | function onOptionsChanged(callback) {
  function executeCallbacks (line 65) | function executeCallbacks(queue, arg) {
  function scheduleAfterUiUpdateCallbacks (line 79) | function scheduleAfterUiUpdateCallbacks() {
  function mutationCallback (line 90) | async function mutationCallback(mutations) {
  function uiElementIsVisible (line 149) | function uiElementIsVisible(el) {
  function uiElementInSight (line 157) | function uiElementInSight(el) {

FILE: javascript/setHints.js
  function cycleLocale (line 19) | async function cycleLocale() {
  function resetLocale (line 35) | async function resetLocale() {
  function tooltipCreate (line 48) | async function tooltipCreate() {
  function expandTooltip (line 79) | async function expandTooltip(element, longHint) {
  function tooltipShowDelegated (line 91) | async function tooltipShowDelegated(e) { // use event delegation to hand...
  function tooltipHideDelegated (line 95) | async function tooltipHideDelegated(e) {
  function tooltipShow (line 99) | async function tooltipShow(e) {
  function tooltipHide (line 162) | async function tooltipHide(e) {
  function validateHints (line 171) | async function validateHints(json, elements, tab) {
  function addMissingHints (line 195) | async function addMissingHints(json, missingHints) {
  function removeOrphanedHints (line 206) | async function removeOrphanedHints(json, orphanedHints) {
  function replaceButtonText (line 213) | async function replaceButtonText(el) {
  function getLocaleData (line 232) | async function getLocaleData(desiredLocale = null) {
  function replaceTextContent (line 267) | async function replaceTextContent(el, text) {
  function setHint (line 280) | async function setHint(el, entry) {
  function setHints (line 292) | async function setHints(analyze = false) {
  function applyHintToElement (line 354) | async function applyHintToElement(el) {
  function initializeDOMObserver (line 377) | function initializeDOMObserver() {

FILE: javascript/settings.js
  function getSettingsTabs (line 5) | function getSettingsTabs() {
  function monitorOption (line 14) | function monitorOption(option, callback) {
  function updateOpts (line 24) | async function updateOpts(json_string) {
  function showAllSettings (line 56) | function showAllSettings() {
  function markIfModified (line 66) | function markIfModified(setting_name, value) {
  function updateAllOpts (line 100) | function updateAllOpts() {
  method set (line 120) | set(newValue) {
  method get (line 127) | get() {
  function initModels (line 159) | async function initModels() {
  function initSettings (line 193) | async function initSettings() {

FILE: javascript/startup.js
  function waitForOpts (line 5) | async function waitForOpts() {
  function initStartup (line 26) | async function initStartup() {

FILE: javascript/timesheet.js
  class Bubble (line 3) | class Bubble {
    method constructor (line 4) | constructor(min, start, end, label, scale, type) {
    method getDateLabel (line 17) | getDateLabel() {
  class Timesheet (line 22) | class Timesheet {
    method constructor (line 23) | constructor(container, data) {

FILE: javascript/trainMonitor.js
  function startTrainMonitor (line 1) | function startTrainMonitor() {

FILE: javascript/ui.js
  function rememberGallerySelection (line 13) | function rememberGallerySelection(name) {
  function set_theme (line 17) | function set_theme(theme) {
  function update_token_counter (line 22) | function update_token_counter(button_id) {
  function clip_gallery_urls (line 27) | function clip_gallery_urls(gallery) {
  function isVisible (line 35) | function isVisible(el) {
  function all_gallery_buttons (line 42) | function all_gallery_buttons() {
  function selected_gallery_button (line 52) | function selected_gallery_button() {
  function selected_gallery_index (line 62) | function selected_gallery_index() {
  function selected_gallery_files (line 74) | function selected_gallery_files(tabname) {
  function extract_image_from_gallery (line 95) | function extract_image_from_gallery(gallery) {
  function send_to_kanvas (line 103) | function send_to_kanvas(gallery) {
  function setTheme (line 113) | async function setTheme(val, old) {
  function setFontSize (line 134) | function setFontSize(val, old) {
  function switchToTab (line 149) | function switchToTab(tab) {
  function switch_to_txt2img (line 156) | function switch_to_txt2img(...args) {
  function switch_to_img2img_tab (line 161) | function switch_to_img2img_tab(no) {
  function switch_to_img2img (line 166) | function switch_to_img2img(...args) {
  function switch_to_inpaint (line 172) | function switch_to_inpaint(...args) {
  function switch_to_sketch (line 178) | function switch_to_sketch(...args) {
  function switch_to_composite (line 184) | function switch_to_composite(...args) {
  function switch_to_extras (line 190) | function switch_to_extras(...args) {
  function switch_to_control (line 195) | function switch_to_control(...args) {
  function switch_to_video (line 200) | function switch_to_video(...args) {
  function switch_to_caption (line 205) | function switch_to_caption(...args) {
  function get_tab_index (line 210) | function get_tab_index(tabId) {
  function create_tab_index_args (line 219) | function create_tab_index_args(tabId, args) {
  function get_img2img_tab_index (line 225) | function get_img2img_tab_index(...args) {
  function create_submit_args (line 232) | function create_submit_args(args) {
  function showSubmitButtons (line 238) | function showSubmitButtons(tabname, show) {}
  function clearGallery (line 240) | function clearGallery(tabname) {
  function submit_txt2img (line 248) | function submit_txt2img(...args) {
  function submit_img2img (line 260) | function submit_img2img(...args) {
  function submit_control (line 273) | function submit_control(...args) {
  function submit_video (line 291) | function submit_video(...args) {
  function submit_framepack (line 303) | function submit_framepack(...args) {
  function submit_ltx (line 312) | function submit_ltx(...args) {
  function submit_video_wrapper (line 321) | function submit_video_wrapper(...args) {
  function submit_postprocessing (line 330) | function submit_postprocessing(...args) {
  function modelmerger (line 339) | function modelmerger(...args) {
  function clearPrompts (line 346) | function clearPrompts(prompt, negative_prompt) {
  function recalculatePromptTokens (line 354) | function recalculatePromptTokens(name) {
  function recalculate_prompts_txt2img (line 360) | function recalculate_prompts_txt2img(...args) {
  function recalculate_prompts_img2img (line 366) | function recalculate_prompts_img2img(...args) {
  function recalculate_prompts_inpaint (line 372) | function recalculate_prompts_inpaint(...args) {
  function recalculate_prompts_control (line 378) | function recalculate_prompts_control(...args) {
  function registerDragDrop (line 384) | function registerDragDrop() {
  function sortUIElements (line 400) | function sortUIElements() {
  function registerTextarea (line 431) | async function registerTextarea(id, id_counter, id_button) {
  function update_txt2img_tokens (line 455) | function update_txt2img_tokens(...args) {
  function update_img2img_tokens (line 461) | function update_img2img_tokens(...args) {
  function getTranslation (line 467) | function getTranslation(...args) {
  function monitorServerStatus (line 471) | function monitorServerStatus() {
  function restartReload (line 492) | function restartReload() {
  function updateInput (line 501) | function updateInput(target) {
  function selectCheckpoint (line 508) | function selectCheckpoint(name) {
  function selectVAE (line 520) | function selectVAE(name) {
  function selectReference (line 527) | function selectReference(name) {
  function currentImageResolutionimg2img (line 534) | function currentImageResolutionimg2img(_a, _b, scaleBy) {
  function currentImageResolutioncontrol (line 539) | function currentImageResolutioncontrol(_a, _b, scaleBy) {
  function updateImg2imgResizeToTextAfterChangingImage (line 544) | function updateImg2imgResizeToTextAfterChangingImage() {
  function createThemeElement (line 550) | function createThemeElement() {
  function toggleCompact (line 559) | function toggleCompact(val, old) {
  function previewTheme (line 575) | function previewTheme() {
  function browseFolder (line 596) | async function browseFolder() {
  function reconnectUI (line 602) | async function reconnectUI() {

FILE: javascript/uiConfig.js
  function uiOpenSubmenus (line 1) | function uiOpenSubmenus() {
  function getUIDefaults (line 13) | async function getUIDefaults() {

FILE: launch.py
  function init_args (line 36) | def init_args():
  function init_paths (line 45) | def init_paths():
  function get_custom_args (line 54) | def get_custom_args():
  function commit_hash (line 76) | def commit_hash(): # compatbility function
  function run (line 89) | def run(command, desc=None, errdesc=None, custom_env=None, live=False): ...
  function check_run (line 106) | def check_run(command): # compatbility function
  function is_installed (line 112) | def is_installed(pkg): # compatbility function
  function repo_dir (line 117) | def repo_dir(name): # compatbility function
  function run_python (line 122) | def run_python(code, desc=None, errdesc=None): # compatbility function
  function run_pip (line 127) | def run_pip(pkg, desc=None): # compatbility function
  function check_run_python (line 140) | def check_run_python(code): # compatbility function
  function git_clone (line 144) | def git_clone(url, tgt, _name, commithash=None): # compatbility function
  function run_extension_installer (line 148) | def run_extension_installer(ext_dir): # compatbility function
  function get_memory_stats (line 152) | def get_memory_stats(detailed:bool=False):
  function clean_server (line 162) | def clean_server():
  function start_server (line 191) | def start_server(immediate=True, server=None):
  function main (line 229) | def main():

FILE: modules/apg/__init__.py
  class MomentumBuffer (line 10) | class MomentumBuffer:
    method __init__ (line 11) | def __init__(self, momentum_val: float):
    method update (line 14) | def update(self, update_value: torch.Tensor):
  function project (line 26) | def project(
  function normalized_guidance (line 41) | def normalized_guidance(

FILE: modules/apg/pipeline_stable_cascade_prior_apg.py
  class StableCascadePriorPipelineOutput (line 53) | class StableCascadePriorPipelineOutput(BaseOutput):
  class StableCascadePriorPipelineAPG (line 73) | class StableCascadePriorPipelineAPG(DiffusionPipeline):
    method __init__ (line 105) | def __init__(
    method prepare_latents (line 126) | def prepare_latents(
    method encode_prompt (line 146) | def encode_prompt(
    method encode_image (line 253) | def encode_image(self, images, device, dtype, batch_size, num_images_p...
    method check_inputs (line 267) | def check_inputs(
    method guidance_scale (line 345) | def guidance_scale(self):
    method do_classifier_free_guidance (line 349) | def do_classifier_free_guidance(self):
    method num_timesteps (line 353) | def num_timesteps(self):
    method get_timestep_ratio_conditioning (line 356) | def get_timestep_ratio_conditioning(self, t, alphas_cumprod):
    method __call__ (line 368) | def __call__(

FILE: modules/apg/pipeline_stable_diffision_xl_apg.py
  function rescale_noise_cfg (line 62) | def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
  function retrieve_timesteps (line 77) | def retrieve_timesteps(
  class StableDiffusionXLPipelineAPG (line 136) | class StableDiffusionXLPipelineAPG(
    method __init__ (line 208) | def __init__(
    method encode_prompt (line 248) | def encode_prompt(
    method encode_image (line 483) | def encode_image(self, image, device, num_images_per_prompt, output_hi...
    method prepare_ip_adapter_image_embeds (line 508) | def prepare_ip_adapter_image_embeds(
    method prepare_extra_step_kwargs (line 554) | def prepare_extra_step_kwargs(self, generator, eta):
    method check_inputs (line 571) | def check_inputs(
    method prepare_latents (line 668) | def prepare_latents(self, batch_size, num_channels_latents, height, wi...
    method _get_add_time_ids (line 690) | def _get_add_time_ids(
    method upcast_vae (line 708) | def upcast_vae(self):
    method get_guidance_scale_embedding (line 727) | def get_guidance_scale_embedding(
    method guidance_scale (line 758) | def guidance_scale(self):
    method guidance_rescale (line 762) | def guidance_rescale(self):
    method clip_skip (line 766) | def clip_skip(self):
    method do_classifier_free_guidance (line 773) | def do_classifier_free_guidance(self):
    method cross_attention_kwargs (line 777) | def cross_attention_kwargs(self):
    method denoising_end (line 781) | def denoising_end(self):
    method num_timesteps (line 785) | def num_timesteps(self):
    method interrupt (line 789) | def interrupt(self):
    method __call__ (line 794) | def __call__(

FILE: modules/apg/pipeline_stable_diffusion_apg.py
  function rescale_noise_cfg (line 58) | def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
  function retrieve_timesteps (line 72) | def retrieve_timesteps(
  class StableDiffusionPipelineAPG (line 131) | class StableDiffusionPipelineAPG(
    method __init__ (line 177) | def __init__(
    method _encode_prompt (line 269) | def _encode_prompt(
    method encode_prompt (line 301) | def encode_prompt(
    method encode_image (line 483) | def encode_image(self, image, device, num_images_per_prompt, output_hi...
    method prepare_ip_adapter_image_embeds (line 507) | def prepare_ip_adapter_image_embeds(
    method run_safety_checker (line 552) | def run_safety_checker(self, image, device, dtype):
    method decode_latents (line 566) | def decode_latents(self, latents):
    method prepare_extra_step_kwargs (line 577) | def prepare_extra_step_kwargs(self, generator, eta):
    method check_inputs (line 594) | def check_inputs(
    method prepare_latents (line 663) | def prepare_latents(self, batch_size, num_channels_latents, height, wi...
    method get_guidance_scale_embedding (line 686) | def get_guidance_scale_embedding(
    method guidance_scale (line 717) | def guidance_scale(self):
    method guidance_rescale (line 721) | def guidance_rescale(self):
    method clip_skip (line 725) | def clip_skip(self):
    method do_classifier_free_guidance (line 732) | def do_classifier_free_guidance(self):
    method cross_attention_kwargs (line 736) | def cross_attention_kwargs(self):
    method num_timesteps (line 740) | def num_timesteps(self):
    method interrupt (line 744) | def interrupt(self):
    method __call__ (line 749) | def __call__(

FILE: modules/api/api.py
  class Api (line 14) | class Api:
    method __init__ (line 15) | def __init__(self, app: FastAPI, queue_lock: Lock):
    method register (line 39) | def register(self):
    method add_api_route (line 128) | def add_api_route(self, path: str, fn, auth: bool = True, **kwargs):
    method auth (line 137) | def auth(self, credentials: HTTPBasicCredentials = Depends(HTTPBasic())):
    method get_session_start (line 149) | def get_session_start(self, req: Request, agent: Optional[str] = None):
    method launch (line 155) | def launch(self):

FILE: modules/api/control.py
  class ItemControl (line 12) | class ItemControl(BaseModel):
  class ItemXYZ (line 21) | class ItemXYZ(BaseModel):
  class ResControl (line 57) | class ResControl(BaseModel):
  class APIControl (line 64) | class APIControl():
    method __init__ (line 65) | def __init__(self, queue_lock: Lock):
    method sanitize_args (line 70) | def sanitize_args(self, args: dict):
    method sanitize_b64 (line 82) | def sanitize_b64(self, request):
    method prepare_face_module (line 97) | def prepare_face_module(self, req):
    method prepare_xyz_grid (line 118) | def prepare_xyz_grid(self, req):
    method prepare_ip_adapter (line 133) | def prepare_ip_adapter(self, request):
    method prepare_control (line 153) | def prepare_control(self, req):
    method post_control (line 185) | def post_control(self, req: ReqControl):

FILE: modules/api/docs.py
  function get_swagger_ui_html (line 8) | def get_swagger_ui_html(*,
  function create_docs (line 59) | def create_docs(app: FastAPI):
  function create_redocs (line 83) | def create_redocs(app: FastAPI):

FILE: modules/api/endpoints.py
  function get_samplers (line 8) | def get_samplers():
  function get_sampler (line 20) | def get_sampler():
  function get_sd_vaes (line 32) | def get_sd_vaes():
  function get_upscalers (line 36) | def get_upscalers():
  function get_sd_models (line 39) | def get_sd_models():
  function get_controlnets (line 47) | def get_controlnets(model_type: Optional[str] = None):
  function get_restorers (line 51) | def get_restorers():
  function get_detailers (line 54) | def get_detailers():
  function get_prompt_styles (line 58) | def get_prompt_styles():
  function get_embeddings (line 61) | def get_embeddings():
  function get_extra_networks (line 67) | def get_extra_networks(page: Optional[str] = None, name: Optional[str] =...
  function get_interrogate (line 94) | def get_interrogate():
  function get_schedulers (line 98) | def get_schedulers():
  function post_interrogate (line 105) | def post_interrogate(req: models.ReqInterrogate):
  function post_vqa (line 128) | def post_vqa(req: models.ReqVQA):
  function post_unload_checkpoint (line 137) | def post_unload_checkpoint():
  function post_reload_checkpoint (line 143) | def post_reload_checkpoint(force:bool=False):
  function post_lock_checkpoint (line 150) | def post_lock_checkpoint(lock:bool=False):
  function get_checkpoint (line 155) | def get_checkpoint():
  function set_checkpoint (line 175) | def set_checkpoint(sd_model_checkpoint: str, dtype:str=None, force:bool=...
  function post_refresh_checkpoints (line 186) | def post_refresh_checkpoints():
  function post_refresh_vae (line 190) | def post_refresh_vae():
  function get_modules (line 194) | def get_modules():
  function get_extensions_list (line 218) | def get_extensions_list():
  function post_pnginfo (line 237) | def post_pnginfo(req: models.ReqImageInfo):
  function get_latent_history (line 251) | def get_latent_history():
  function post_latent_history (line 254) | def post_latent_history(req: models.ReqLatentHistory):

FILE: modules/api/gallery.py
  class ReqFiles (line 36) | class ReqFiles(BaseModel):
  class ConnectionManager (line 41) | class ConnectionManager:
    method __init__ (line 42) | def __init__(self):
    method connect (line 45) | async def connect(self, ws: WebSocket):
    method disconnect (line 51) | def disconnect(self, ws: WebSocket):
    method send (line 55) | async def send(self, ws: WebSocket, data: Union[str, dict, bytes]):
    method broadcast (line 68) | async def broadcast(self, data: Union[str, dict, bytes]):
  function register_api (line 74) | def register_api(app: FastAPI): # register api

FILE: modules/api/generate.py
  class APIGenerate (line 12) | class APIGenerate():
    method __init__ (line 13) | def __init__(self, queue_lock: Lock):
    method sanitize_args (line 19) | def sanitize_args(self, args: dict):
    method sanitize_b64 (line 30) | def sanitize_b64(self, request):
    method prepare_face_module (line 44) | def prepare_face_module(self, request):
    method prepare_ip_adapter (line 65) | def prepare_ip_adapter(self, request, p):
    method post_text2img (line 87) | def post_text2img(self, txt2imgreq: models.ReqTxt2Img):
    method post_img2img (line 131) | def post_img2img(self, img2imgreq: models.ReqImg2Img):

FILE: modules/api/gpu.py
  function get_gpu_status (line 8) | def get_gpu_status():

FILE: modules/api/helpers.py
  function validate_sampler_name (line 10) | def validate_sampler_name(name):
  function decode_base64_to_image (line 17) | def decode_base64_to_image(encoding, quiet=False):
  function encode_pil_to_base64 (line 36) | def encode_pil_to_base64(image):
  function upscaler_to_index (line 52) | def upscaler_to_index(name: str):
  function save_image (line 58) | def save_image(image, fn, ext):

FILE: modules/api/loras.py
  function get_lora (line 5) | def get_lora(lora: str) -> dict:
  function get_loras (line 13) | def get_loras():
  function post_refresh_loras (line 20) | def post_refresh_loras():
  function register_api (line 25) | def register_api():

FILE: modules/api/middleware.py
  function setup_middleware (line 27) | def setup_middleware(app: FastAPI, cmd_opts):

FILE: modules/api/mime.py
  function register (line 4) | def register():

FILE: modules/api/models.py
  class ModelDef (line 16) | class ModelDef(BaseModel):
  class DummyConfig (line 24) | class DummyConfig:
  class PydanticModelGenerator (line 32) | class PydanticModelGenerator:
    method __init__ (line 33) | def __init__(
    method generate_model (line 75) | def generate_model(self):
  class ItemSampler (line 87) | class ItemSampler(BaseModel):
  class ItemVae (line 91) | class ItemVae(BaseModel):
  class ItemUpscaler (line 95) | class ItemUpscaler(BaseModel):
  class ItemModel (line 102) | class ItemModel(BaseModel):
  class ItemHypernetwork (line 111) | class ItemHypernetwork(BaseModel):
  class ItemDetailer (line 115) | class ItemDetailer(BaseModel):
  class ItemGAN (line 119) | class ItemGAN(BaseModel):
  class ItemStyle (line 124) | class ItemStyle(BaseModel):
  class ItemExtraNetwork (line 132) | class ItemExtraNetwork(BaseModel):
  class ItemArtist (line 141) | class ItemArtist(BaseModel):
  class ItemEmbedding (line 146) | class ItemEmbedding(BaseModel):
  class ItemIPAdapter (line 153) | class ItemIPAdapter(BaseModel):
  class ItemFace (line 162) | class ItemFace(BaseModel):
  class ScriptArg (line 178) | class ScriptArg(BaseModel):
  class ItemScript (line 186) | class ItemScript(BaseModel):
  class ItemExtension (line 192) | class ItemExtension(BaseModel):
  class ItemScheduler (line 201) | class ItemScheduler(BaseModel):
  class ResTxt2Img (line 229) | class ResTxt2Img(BaseModel):
  class ResImg2Img (line 259) | class ResImg2Img(BaseModel):
  class FileData (line 264) | class FileData(BaseModel):
  class ReqProcess (line 268) | class ReqProcess(BaseModel):
  class ResProcess (line 282) | class ResProcess(BaseModel):
  class ReqPromptEnhance (line 286) | class ReqPromptEnhance(BaseModel):
  class ResPromptEnhance (line 295) | class ResPromptEnhance(BaseModel):
  class ReqProcessImage (line 299) | class ReqProcessImage(ReqProcess):
  class ResProcessImage (line 302) | class ResProcessImage(ResProcess):
  class ReqProcessBatch (line 305) | class ReqProcessBatch(ReqProcess):
  class ResProcessBatch (line 308) | class ResProcessBatch(ResProcess):
  class ReqImageInfo (line 311) | class ReqImageInfo(BaseModel):
  class ResImageInfo (line 314) | class ResImageInfo(BaseModel):
  class ReqGetLog (line 319) | class ReqGetLog(BaseModel):
  class ReqPostLog (line 324) | class ReqPostLog(BaseModel):
  class ReqHistory (line 329) | class ReqHistory(BaseModel):
  class ReqProgress (line 332) | class ReqProgress(BaseModel):
  class ResProgress (line 335) | class ResProgress(BaseModel):
  class ResHistory (line 343) | class ResHistory(BaseModel):
  class ResStatus (line 351) | class ResStatus(BaseModel):
  class ReqInterrogate (line 368) | class ReqInterrogate(BaseModel):
  class ResInterrogate (line 375) | class ResInterrogate(BaseModel):
  class ReqVQA (line 383) | class ReqVQA(BaseModel):
  class ReqLatentHistory (line 389) | class ReqLatentHistory(BaseModel):
  class ResVQA (line 392) | class ResVQA(BaseModel):
  class ResTrain (line 395) | class ResTrain(BaseModel):
  class ResCreate (line 398) | class ResCreate(BaseModel):
  class ResPreprocess (line 401) | class ResPreprocess(BaseModel):
  class ResEmbeddings (line 429) | class ResEmbeddings(BaseModel):
  class ResMemory (line 433) | class ResMemory(BaseModel):
  class ResScripts (line 437) | class ResScripts(BaseModel):
  class ResGPU (line 442) | class ResGPU(BaseModel): # definition of http response
  function create_model_from_signature (line 449) | def create_model_from_signature(func: Callable, model_name: str, base_mo...

FILE: modules/api/nudenet.py
  function nudenet_censor (line 5) | def nudenet_censor(
  function prompt_check (line 25) | def prompt_check(
  function image_guard (line 40) | def image_guard(
  function banned_words (line 50) | def banned_words(
  function register_api (line 59) | def register_api():

FILE: modules/api/nvml.py
  function install (line 4) | def install(*args, **kwargs): # pylint: disable=unused-argument
  function warn_once (line 14) | def warn_once(msg):
  function get_reason (line 20) | def get_reason(val):
  function get_nvml (line 36) | def get_nvml():

FILE: modules/api/process.py
  class ReqPreprocess (line 15) | class ReqPreprocess(BaseModel):
  class ResPreprocess (line 20) | class ResPreprocess(BaseModel):
  class ReqMask (line 24) | class ReqMask(BaseModel):
  class ReqFace (line 31) | class ReqFace(BaseModel):
  class ResFace (line 35) | class ResFace(BaseModel):
  class ResMask (line 42) | class ResMask(BaseModel):
  class ItemPreprocess (line 45) | class ItemPreprocess(BaseModel):
  class ItemMask (line 49) | class ItemMask(BaseModel):
  class APIProcess (line 56) | class APIProcess():
    method __init__ (line 57) | def __init__(self, queue_lock: Lock):
    method get_preprocess (line 60) | def get_preprocess(self):
    method post_preprocess (line 67) | def post_preprocess(self, req: ReqPreprocess):
    method get_mask (line 86) | def get_mask(self):
    method post_mask (line 90) | def post_mask(self, req: ReqMask):
    method post_detect (line 115) | def post_detect(self, req: ReqFace):
    method post_prompt_enhance (line 135) | def post_prompt_enhance(self, req: models.ReqPromptEnhance):
    method set_upscalers (line 179) | def set_upscalers(self, req: dict):
    method extras_single_image_api (line 185) | def extras_single_image_api(self, req: models.ReqProcessImage):
    method extras_batch_images_api (line 192) | def extras_batch_images_api(self, req: models.ReqProcessBatch):

FILE: modules/api/rocm_smi.py
  class ThrottleStatus (line 21) | class ThrottleStatus(IntFlag):
    method active (line 58) | def active(self):
    method __iter__ (line 62) | def __iter__(self):
    method __str__ (line 65) | def __str__(self):
  function get_rocm_smi (line 69) | def get_rocm_smi():

FILE: modules/api/script.py
  function script_name_to_index (line 9) | def script_name_to_index(name, scripts_list):
  function get_selectable_script (line 22) | def get_selectable_script(script_name, script_runner):
  function get_scripts_list (line 32) | def get_scripts_list():
  function get_script_info (line 39) | def get_script_info(script_name: Optional[str] = None):
  function get_script (line 48) | def get_script(script_name, script_runner):
  function init_default_script_args (line 57) | def init_default_script_args(script_runner):
  function init_script_args (line 80) | def init_script_args(p, request, default_script_args, selectable_scripts...

FILE: modules/api/server.py
  function post_shutdown (line 11) | def post_shutdown():
  function get_js (line 16) | def get_js(request: Request):
  function get_motd (line 42) | def get_motd():
  function get_version (line 61) | def get_version():
  function get_platform (line 64) | def get_platform():
  function get_log (line 69) | def get_log(req: models.ReqGetLog = Depends()):
  function post_log (line 75) | def post_log(req: models.ReqPostLog):
  function get_config (line 85) | def get_config():
  function set_config (line 98) | def set_config(req: dict[str, Any]):
  function get_cmd_flags (line 105) | def get_cmd_flags():
  function get_history (line 108) | def get_history(req: models.ReqHistory = Depends()):
  function get_progress (line 116) | def get_progress(req: models.ReqProgress = Depends()):
  function get_status (line 140) | def get_status():
  function post_interrupt (line 143) | def post_interrupt():
  function post_skip (line 147) | def post_skip():
  function get_memory (line 150) | def get_memory():

FILE: modules/api/xpu_smi.py
  function get_xpu_smi (line 8) | def get_xpu_smi():

FILE: modules/api/xyz_grid.py
  function xyz_grid_enum (line 4) | def xyz_grid_enum(option: str = "") -> List[dict]:
  function register_api (line 24) | def register_api():

FILE: modules/attention.py
  function set_dynamic_attention (line 9) | def set_dynamic_attention():
  function set_triton_flash_attention (line 20) | def set_triton_flash_attention(backend: str):
  function set_flex_attention (line 51) | def set_flex_attention():
  function set_ck_flash_attention (line 87) | def set_ck_flash_attention(backend: str, device: torch.device):
  function set_sage_attention (line 129) | def set_sage_attention(backend: str, device: torch.device):
  function set_diffusers_attention (line 183) | def set_diffusers_attention(pipe, quiet:bool=False):

FILE: modules/ben2/__init__.py
  function remove (line 4) | def remove(image, refine: bool = True):

FILE: modules/ben2/ben2_model.py
  class Mlp (line 17) | class Mlp(nn.Module):
    method __init__ (line 20) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 29) | def forward(self, x):
  function window_partition (line 38) | def window_partition(x, window_size):
  function window_reverse (line 52) | def window_reverse(windows, window_size, H, W):
  class WindowAttention (line 68) | class WindowAttention(nn.Module):
    method __init__ (line 81) | def __init__(self, dim, window_size, num_heads, qkv_bias=True, qk_scal...
    method forward (line 115) | def forward(self, x, mask=None):
  class SwinTransformerBlock (line 149) | class SwinTransformerBlock(nn.Module):
    method __init__ (line 166) | def __init__(self, dim, num_heads, window_size=7, shift_size=0,
    method forward (line 190) | def forward(self, x, mask_matrix):
  class PatchMerging (line 249) | class PatchMerging(nn.Module):
    method __init__ (line 255) | def __init__(self, dim, norm_layer=nn.LayerNorm):
    method forward (line 261) | def forward(self, x, H, W):
  class BasicLayer (line 290) | class BasicLayer(nn.Module):
    method __init__ (line 308) | def __init__(self,
    method forward (line 350) | def forward(self, x, H, W):
  class PatchEmbed (line 392) | class PatchEmbed(nn.Module):
    method __init__ (line 401) | def __init__(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=...
    method forward (line 415) | def forward(self, x):
  class SwinTransformer (line 434) | class SwinTransformer(nn.Module):
    method __init__ (line 462) | def __init__(self,
    method _freeze_stages (line 541) | def _freeze_stages(self):
    method forward (line 559) | def forward(self, x):
  function get_activation_fn (line 597) | def get_activation_fn(activation):
  function make_cbr (line 605) | def make_cbr(in_dim, out_dim):
  function make_cbg (line 609) | def make_cbg(in_dim, out_dim):
  function rescale_to (line 613) | def rescale_to(x, scale_factor: float = 2, interpolation='nearest'):
  function resize_as (line 617) | def resize_as(x, y, interpolation='bilinear'):
  function image2patches (line 621) | def image2patches(x):
  function patches2image (line 627) | def patches2image(x):
  class PositionEmbeddingSine (line 634) | class PositionEmbeddingSine:
    method __init__ (line 635) | def __init__(self, num_pos_feats=64, temperature=10000, normalize=Fals...
    method __call__ (line 647) | def __call__(self, b, h, w):
  class MCLM (line 670) | class MCLM(nn.Module):
    method __init__ (line 671) | def __init__(self, d_model, num_heads, pool_ratios=[1, 4, 8]):
    method forward (line 696) | def forward(self, l, g):
  class MCRM (line 762) | class MCRM(nn.Module):
    method __init__ (line 763) | def __init__(self, d_model, num_heads, pool_ratios=[4, 8, 16], h=None)...
    method forward (line 783) | def forward(self, x):
  class BEN_Base (line 821) | class BEN_Base(nn.Module):
    method __init__ (line 822) | def __init__(self):
    method forward (line 871) | def forward(self, x):
    method loadcheckpoints (line 940) | def loadcheckpoints(self,model_path):
    method inference (line 945) | def inference(self,image,refine_foreground=False):
    method segment_video (line 1009) | def segment_video(self, video_path, output_path="./", fps=0, refine_fo...
  function rgb_loader_refiner (line 1118) | def rgb_loader_refiner( original_image):
  function pil_images_to_mp4 (line 1143) | def pil_images_to_mp4(images, output_path, fps=24, rgb_value=(0, 255, 0)):
  function pil_images_to_webm_alpha (line 1177) | def pil_images_to_webm_alpha(images, output_path, fps=30):
  function add_audio_to_video (line 1216) | def add_audio_to_video(video_without_audio_path, original_video_path, ou...
  function refine_foreground_process (line 1250) | def refine_foreground_process(image, mask, r=90):
  function FB_blur_fusion_foreground_estimator_2 (line 1260) | def FB_blur_fusion_foreground_estimator_2(image, alpha, r=90):
  function FB_blur_fusion_foreground_estimator (line 1267) | def FB_blur_fusion_foreground_estimator(image, F, B, alpha, r=90):
  function postprocess_image (line 1283) | def postprocess_image(result: torch.Tensor, im_size: list) -> np.ndarray:

FILE: modules/cachedit.py
  function apply_cache_dit (line 6) | def apply_cache_dit(pipe):
  function unapply_cache_dir (line 54) | def unapply_cache_dir(pipe):

FILE: modules/call_queue.py
  function get_lock (line 14) | def get_lock():
  function wrap_queued_call (line 21) | def wrap_queued_call(func):
  function wrap_gradio_gpu_call (line 29) | def wrap_gradio_gpu_call(func, extra_outputs=None, name=None):
  function wrap_gradio_call (line 55) | def wrap_gradio_call(func, extra_outputs=None, add_stats=False, name=None):

FILE: modules/cfgzero/__init__.py
  function apply (line 17) | def apply(p: processing.StableDiffusionProcessing):
  function unapply (line 58) | def unapply():

FILE: modules/cfgzero/cogview4_pipeline.py
  function optimized_scale (line 34) | def optimized_scale(positive_flat, negative_flat):
  function calculate_shift (line 73) | def calculate_shift(
  function retrieve_timesteps (line 84) | def retrieve_timesteps(
  class CogView4CFGZeroPipeline (line 151) | class CogView4CFGZeroPipeline(DiffusionPipeline, CogView4LoraLoaderMixin):
    method __init__ (line 176) | def __init__(
    method _get_glm_embeds (line 192) | def _get_glm_embeds(
    method encode_prompt (line 237) | def encode_prompt(
    method prepare_latents (line 316) | def prepare_latents(self, batch_size, num_channels_latents, height, wi...
    method check_inputs (line 334) | def check_inputs(
    method guidance_scale (line 392) | def guidance_scale(self):
    method do_classifier_free_guidance (line 399) | def do_classifier_free_guidance(self):
    method num_timesteps (line 403) | def num_timesteps(self):
    method attention_kwargs (line 407) | def attention_kwargs(self):
    method current_timestep (line 411) | def current_timestep(self):
    method interrupt (line 415) | def interrupt(self):
    method __call__ (line 420) | def __call__(

FILE: modules/cfgzero/flux_pipeline.py
  function optimized_scale (line 60) | def optimized_scale(positive_flat, negative_flat):
  function calculate_shift (line 74) | def calculate_shift(
  function retrieve_timesteps (line 88) | def retrieve_timesteps(
  class FluxCFGZeroPipeline (line 147) | class FluxCFGZeroPipeline(
    method __init__ (line 184) | def __init__(
    method _get_t5_prompt_embeds (line 218) | def _get_t5_prompt_embeds(
    method _get_clip_prompt_embeds (line 267) | def _get_clip_prompt_embeds(
    method encode_prompt (line 311) | def encode_prompt(
    method encode_image (line 390) | def encode_image(self, image, device, num_images_per_prompt):
    method prepare_ip_adapter_image_embeds (line 401) | def prepare_ip_adapter_image_embeds(
    method check_inputs (line 437) | def check_inputs(
    method _prepare_latent_image_ids (line 515) | def _prepare_latent_image_ids(batch_size, height, width, device, dtype):
    method _pack_latents (line 529) | def _pack_latents(latents, batch_size, num_channels_latents, height, w...
    method _unpack_latents (line 537) | def _unpack_latents(latents, height, width, vae_scale_factor):
    method enable_vae_slicing (line 552) | def enable_vae_slicing(self):
    method disable_vae_slicing (line 559) | def disable_vae_slicing(self):
    method enable_vae_tiling (line 566) | def enable_vae_tiling(self):
    method disable_vae_tiling (line 574) | def disable_vae_tiling(self):
    method prepare_latents (line 581) | def prepare_latents(
    method guidance_scale (line 617) | def guidance_scale(self):
    method joint_attention_kwargs (line 621) | def joint_attention_kwargs(self):
    method num_timesteps (line 625) | def num_timesteps(self):
    method current_timestep (line 629) | def current_timestep(self):
    method interrupt (line 633) | def interrupt(self):
    method __call__ (line 638) | def __call__(

FILE: modules/cfgzero/hidream_pipeline.py
  function optimized_scale (line 82) | def optimized_scale(positive_flat, negative_flat):
  function calculate_shift (line 96) | def calculate_shift(
  function retrieve_timesteps (line 110) | def retrieve_timesteps(
  class HiDreamImageCFGZeroPipeline (line 169) | class HiDreamImageCFGZeroPipeline(DiffusionPipeline, HiDreamImageLoraLoa...
    method __init__ (line 173) | def __init__(
    method _get_t5_prompt_embeds (line 212) | def _get_t5_prompt_embeds(
    method _get_clip_prompt_embeds (line 249) | def _get_clip_prompt_embeds(
    method _get_llama3_prompt_embeds (line 286) | def _get_llama3_prompt_embeds(
    method encode_prompt (line 330) | def encode_prompt(
    method _encode_prompt (line 414) | def _encode_prompt(
    method enable_vae_slicing (line 470) | def enable_vae_slicing(self):
    method disable_vae_slicing (line 477) | def disable_vae_slicing(self):
    method enable_vae_tiling (line 484) | def enable_vae_tiling(self):
    method disable_vae_tiling (line 492) | def disable_vae_tiling(self):
    method prepare_latents (line 499) | def prepare_latents(
    method guidance_scale (line 526) | def guidance_scale(self):
    method do_classifier_free_guidance (line 530) | def do_classifier_free_guidance(self):
    method attention_kwargs (line 534) | def attention_kwargs(self):
    method num_timesteps (line 538) | def num_timesteps(self):
    method interrupt (line 542) | def interrupt(self):
    method __call__ (line 546) | def __call__(

FILE: modules/cfgzero/hunyuan_t2v_pipeline.py
  function optimized_scale (line 70) | def optimized_scale(positive_flat, negative_flat):
  function retrieve_timesteps (line 98) | def retrieve_timesteps(
  class HunyuanVideoCFGZeroPipeline (line 157) | class HunyuanVideoCFGZeroPipeline(DiffusionPipeline, HunyuanVideoLoraLoa...
    method __init__ (line 186) | def __init__(
    method _get_llama_prompt_embeds (line 212) | def _get_llama_prompt_embeds(
    method _get_clip_prompt_embeds (line 278) | def _get_clip_prompt_embeds(
    method encode_prompt (line 317) | def encode_prompt(
    method check_inputs (line 353) | def check_inputs(
    method prepare_latents (line 400) | def prepare_latents(
    method enable_vae_slicing (line 431) | def enable_vae_slicing(self):
    method disable_vae_slicing (line 438) | def disable_vae_slicing(self):
    method enable_vae_tiling (line 445) | def enable_vae_tiling(self):
    method disable_vae_tiling (line 453) | def disable_vae_tiling(self):
    method guidance_scale (line 461) | def guidance_scale(self):
    method num_timesteps (line 465) | def num_timesteps(self):
    method attention_kwargs (line 469) | def attention_kwargs(self):
    method current_timestep (line 473) | def current_timestep(self):
    method interrupt (line 477) | def interrupt(self):
    method __call__ (line 482) | def __call__(

FILE: modules/cfgzero/sd3_pipeline.py
  function optimized_scale (line 73) | def optimized_scale(positive_flat, negative_flat):
  function calculate_shift (line 87) | def calculate_shift(
  function retrieve_timesteps (line 101) | def retrieve_timesteps(
  class StableDiffusion3CFGZeroPipeline (line 160) | class StableDiffusion3CFGZeroPipeline(DiffusionPipeline, SD3LoraLoaderMi...
    method __init__ (line 202) | def __init__(
    method _get_t5_prompt_embeds (line 247) | def _get_t5_prompt_embeds(
    method _get_clip_prompt_embeds (line 303) | def _get_clip_prompt_embeds(
    method encode_prompt (line 358) | def encode_prompt(
    method check_inputs (line 550) | def check_inputs(
    method prepare_latents (line 646) | def prepare_latents(
    method guidance_scale (line 678) | def guidance_scale(self):
    method skip_guidance_layers (line 682) | def skip_guidance_layers(self):
    method clip_skip (line 686) | def clip_skip(self):
    method do_classifier_free_guidance (line 693) | def do_classifier_free_guidance(self):
    method joint_attention_kwargs (line 697) | def joint_attention_kwargs(self):
    method num_timesteps (line 701) | def num_timesteps(self):
    method interrupt (line 705) | def interrupt(self):
    method encode_image (line 709) | def encode_image(self, image: PipelineImageInput, device: torch.device...
    method prepare_ip_adapter_image_embeds (line 729) | def prepare_ip_adapter_image_embeds(
    method enable_sequential_cpu_offload (line 775) | def enable_sequential_cpu_offload(self, *args, **kwargs):
    method __call__ (line 787) | def __call__(

FILE: modules/cfgzero/wan_t2v_pipeline.py
  function optimized_scale (line 75) | def optimized_scale(positive_flat, negative_flat):
  function basic_clean (line 88) | def basic_clean(text):
  function whitespace_clean (line 94) | def whitespace_clean(text):
  function prompt_clean (line 100) | def prompt_clean(text):
  class WanCFGZeroPipeline (line 105) | class WanCFGZeroPipeline(DiffusionPipeline, WanLoraLoaderMixin):
    method __init__ (line 130) | def __init__(
    method _get_t5_prompt_embeds (line 152) | def _get_t5_prompt_embeds(
    method encode_prompt (line 193) | def encode_prompt(
    method check_inputs (line 274) | def check_inputs(
    method prepare_latents (line 315) | def prepare_latents(
    method guidance_scale (line 348) | def guidance_scale(self):
    method do_classifier_free_guidance (line 352) | def do_classifier_free_guidance(self):
    method num_timesteps (line 356) | def num_timesteps(self):
    method current_timestep (line 360) | def current_timestep(self):
    method interrupt (line 364) | def interrupt(self):
    method attention_kwargs (line 368) | def attention_kwargs(self):
    method __call__ (line 373) | def __call__(

FILE: modules/civitai/api_civitai.py
  function models_to_json (line 4) | def models_to_json(all_models:list, model_id:int=None):
  function get_civitai (line 22) | def get_civitai(
  function post_civitai (line 57) | def post_civitai(page:str=None):
  function register_api (line 65) | def register_api():

FILE: modules/civitai/download_civitai.py
  function save_video_frame (line 11) | def save_video_frame(filepath: str):
  function download_civit_meta (line 28) | def download_civit_meta(model_path: str, model_id):
  function download_civit_preview (line 45) | def download_civit_preview(model_path: str, preview_url: str):
  function download_civit_model_thread (line 95) | def download_civit_model_thread(model_name: str, model_url: str, model_p...
  function download_civit_model (line 183) | def download_civit_model(model_url: str, model_name: str = '', model_pat...

FILE: modules/civitai/metadata_civitai.py
  class CivitModel (line 12) | class CivitModel:
    method __init__ (line 13) | def __init__(self, name, fn, sha = None, meta = {}):
  function civit_update_metadata (line 29) | def civit_update_metadata(raw:bool=False):
  function civit_search_model (line 109) | def civit_search_model(name, tag, model_type):
  function atomic_civit_search_metadata (line 161) | def atomic_civit_search_metadata(item, results):
  function civit_search_metadata (line 227) | def civit_search_metadata(title: str = None, raw: bool = False):

FILE: modules/civitai/search_civitai.py
  class ModelImage (line 13) | class ModelImage():
    method __init__ (line 14) | def __init__(self, dct: dict):
    method __str__ (line 24) | def __str__(self):
  class ModelFile (line 29) | class ModelFile():
    method __init__ (line 30) | def __init__(self, dct: dict):
    method __str__ (line 41) | def __str__(self):
  class ModelVersion (line 46) | class ModelVersion():
    method __init__ (line 47) | def __init__(self, dct: dict):
    method __str__ (line 63) | def __str__(self):
  class Model (line 68) | class Model():
    method __init__ (line 69) | def __init__(self, dct: dict):
    method __str__ (line 88) | def __str__(self):
  function search_civitai (line 95) | def search_civitai(
  function create_model_cards (line 177) | def create_model_cards(all_models: list[Model]) -> str:
  function print_models (line 208) | def print_models(all_models: list[Model]):

FILE: modules/cmd_args.py
  function parse_args (line 12) | def parse_args():
  function main_args (line 19) | def main_args():
  function compatibility_args (line 30) | def compatibility_args():
  function settings_args (line 55) | def settings_args(opts, args):

FILE: modules/control/proc/canny.py
  class CannyDetector (line 7) | class CannyDetector:
    method __call__ (line 8) | def __call__(self, input_image=None, low_threshold=100, high_threshold...

FILE: modules/control/proc/depth_anything/__init__.py
  class DepthAnythingDetector (line 10) | class DepthAnythingDetector:
    method __init__ (line 12) | def __init__(self, model):
    method from_pretrained (line 30) | def from_pretrained(cls, pretrained_model_or_path: str, cache_dir: str...
    method __call__ (line 48) | def __call__(self, image, color_map: str = "none", output_type: str = ...

FILE: modules/control/proc/depth_anything/blocks.py
  function _make_scratch (line 4) | def _make_scratch(in_shape, out_shape, groups=1, expand=False):
  class ResidualConvUnit (line 37) | class ResidualConvUnit(nn.Module):
    method __init__ (line 41) | def __init__(self, features, activation, bn):
    method forward (line 69) | def forward(self, x):
  class FeatureFusionBlock (line 95) | class FeatureFusionBlock(nn.Module):
    method __init__ (line 99) | def __init__(self, features, activation, deconv=False, bn=False, expan...
    method forward (line 126) | def forward(self, *xs, size=None):

FILE: modules/control/proc/depth_anything/dpt.py
  function _make_fusion_block (line 8) | def _make_fusion_block(features, use_bn, size = None):
  class DPTHead (line 20) | class DPTHead(nn.Module):
    method __init__ (line 21) | def __init__(self, nclass, in_channels, features=256, use_bn=False, ou...
    method forward (line 103) | def forward(self, out_features, patch_h, patch_w):
  class DPT_DINOv2 (line 139) | class DPT_DINOv2(nn.Module):
    method __init__ (line 140) | def __init__(self, encoder='vitl', features=256, out_channels=None, us...
    method forward (line 157) | def forward(self, x):
  class DepthAnything (line 171) | class DepthAnything(DPT_DINOv2, PyTorchModelHubMixin):
    method __init__ (line 172) | def __init__(self, config):

FILE: modules/control/proc/depth_anything/util/transform.py
  function apply_min_size (line 12) | def apply_min_size(sample, size, image_interpolation_method=cv2.INTER_AR...
  class Resize (line 54) | class Resize(object):
    method __init__ (line 58) | def __init__(
    method constrain_to_multiple_of (line 100) | def constrain_to_multiple_of(self, x, min_val=0, max_val=None):
    method get_size (line 111) | def get_size(self, width, height):
    method __call__ (line 168) | def __call__(self, sample):
  class NormalizeImage (line 211) | class NormalizeImage(object):
    method __init__ (line 215) | def __init__(self, mean, std):
    method __call__ (line 219) | def __call__(self, sample):
  class PrepareForNet (line 225) | class PrepareForNet(object):
    method __init__ (line 229) | def __init__(self):
    method __call__ (line 232) | def __call__(self, sample):

FILE: modules/control/proc/depth_pro/__init__.py
  class DepthProDetector (line 11) | class DepthProDetector:
    method __init__ (line 14) | def __init__(self, model, processor):
    method from_pretrained (line 19) | def from_pretrained(cls, pretrained_model_or_path: str = "apple/DepthP...
    method __call__ (line 30) | def __call__(self, image, color_map: str = "none", output_type: str = ...

FILE: modules/control/proc/dpt.py
  class DPTDetector (line 12) | class DPTDetector:
    method __init__ (line 13) | def __init__(self, model=None, processor=None, model_path=None):
    method __call__ (line 18) | def __call__(self, input_image=None, model_path=None):

FILE: modules/control/proc/dwpose/__init__.py
  function _register_module (line 20) | def _register_module(self, module: Type, module_name: Optional[Union[str...
  function check_dependencies (line 33) | def check_dependencies():
  function draw_pose (line 78) | def draw_pose(pose, H, W):
  class DWposeDetector (line 92) | class DWposeDetector:
    method __init__ (line 93) | def __init__(self, det_config=None, det_ckpt=None, pose_config=None, p...
    method to (line 106) | def to(self, device):
    method __call__ (line 110) | def __call__(self, input_image, detect_resolution=512, image_resolutio...

FILE: modules/control/proc/dwpose/draw.py
  function smart_resize (line 9) | def smart_resize(x, s):
  function smart_resize_k (line 23) | def smart_resize_k(x, fx, fy):
  function padRightDownCorner (line 37) | def padRightDownCorner(img, stride, padValue):
  function transfer (line 60) | def transfer(model, model_weights):
  function draw_bodypose (line 67) | def draw_bodypose(canvas, candidate, subset):
  function draw_handpose (line 111) | def draw_handpose(canvas, all_hand_peaks):
  function draw_facepose (line 146) | def draw_facepose(canvas, all_lmks):
  function handDetect (line 161) | def handDetect(candidate, subset, oriImg):
  function faceDetect (line 231) | def faceDetect(candidate, subset, oriImg):
  function npmax (line 302) | def npmax(array):

FILE: modules/control/proc/dwpose/wholebody.py
  function inference_detector (line 29) | def inference_detector(*args, **kwargs):
  class Wholebody (line 36) | class Wholebody:
    method __init__ (line 37) | def __init__(self, det_config=None, det_ckpt=None, pose_config=None, p...
    method to (line 63) | def to(self, device):
    method __call__ (line 68) | def __call__(self, oriImg):

FILE: modules/control/proc/edge.py
  class EdgeDetector (line 24) | class EdgeDetector:
    method __call__ (line 25) | def __call__(self, input_image=None, pf=True, mode='edge', detect_reso...

FILE: modules/control/proc/glpn.py
  class GLPNDetector (line 9) | class GLPNDetector:
    method __init__ (line 10) | def __init__(self, model=None, processor=None):
    method __call__ (line 14) | def __call__(self, input_image=None):

FILE: modules/control/proc/hed.py
  class DoubleConvBlock (line 20) | class DoubleConvBlock(torch.nn.Module): # pylint: disable=abstract-method
    method __init__ (line 21) | def __init__(self, input_channel, output_channel, layer_number):
    method __call__ (line 29) | def __call__(self, x, down_sampling=False):
  class ControlNetHED_Apache2 (line 39) | class ControlNetHED_Apache2(torch.nn.Module): # pylint: disable=abstract...
    method __init__ (line 40) | def __init__(self):
    method __call__ (line 49) | def __call__(self, x):
  class HEDdetector (line 58) | class HEDdetector:
    method __init__ (line 59) | def __init__(self, model):
    method from_pretrained (line 63) | def from_pretrained(cls, pretrained_model_or_path, filename=None, cach...
    method to (line 74) | def to(self, device):
    method __call__ (line 78) | def __call__(self, input_image, detect_resolution=512, image_resolutio...

FILE: modules/control/proc/leres/__init__.py
  class LeresDetector (line 17) | class LeresDetector:
    method __init__ (line 18) | def __init__(self, model, pix2pixmodel):
    method from_pretrained (line 23) | def from_pretrained(cls, pretrained_model_or_path, filename=None, pix2...
    method to (line 47) | def to(self, device):
    method __call__ (line 51) | def __call__(self, input_image, thr_a=0, thr_b=0, boost=False, detect_...

FILE: modules/control/proc/leres/leres/Resnet.py
  function conv3x3 (line 17) | def conv3x3(in_planes, out_planes, stride=1):
  class BasicBlock (line 23) | class BasicBlock(nn.Module):
    method __init__ (line 26) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 36) | def forward(self, x):
  class Bottleneck (line 55) | class Bottleneck(nn.Module):
    method __init__ (line 58) | def __init__(self, inplanes, planes, stride=1, downsample=None):
    method forward (line 71) | def forward(self, x):
  class ResNet (line 94) | class ResNet(nn.Module):
    method __init__ (line 96) | def __init__(self, block, layers, num_classes=1000):
    method _make_layer (line 118) | def _make_layer(self, block, planes, blocks, stride=1):
    method forward (line 135) | def forward(self, x):
  function resnet18 (line 155) | def resnet18(pretrained=True, **kwargs):
  function resnet34 (line 164) | def resnet34(pretrained=True, **kwargs):
  function resnet50 (line 173) | def resnet50(pretrained=True, **kwargs):
  function resnet101 (line 183) | def resnet101(pretrained=True, **kwargs):
  function resnet152 (line 193) | def resnet152(pretrained=True, **kwargs):

FILE: modules/control/proc/leres/leres/Resnext_torch.py
  function conv3x3 (line 19) | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
  function conv1x1 (line 25) | def conv1x1(in_planes, out_planes, stride=1):
  class BasicBlock (line 30) | class BasicBlock(nn.Module):
    method __init__ (line 33) | def __init__(self, inplanes, planes, stride=1, downsample=None, groups=1,
    method forward (line 51) | def forward(self, x):
  class Bottleneck (line 70) | class Bottleneck(nn.Module):
    method __init__ (line 79) | def __init__(self, inplanes, planes, stride=1, downsample=None, groups=1,
    method forward (line 96) | def forward(self, x):
  class ResNet (line 119) | class ResNet(nn.Module):
    method __init__ (line 121) | def __init__(self, block, layers, num_classes=1000, zero_init_residual...
    method _make_layer (line 172) | def _make_layer(self, block, planes, blocks, stride=1, dilate=False):
    method _forward_impl (line 196) | def _forward_impl(self, x):
    method forward (line 222) | def forward(self, x):
  function resnext101_32x8d (line 227) | def resnext101_32x8d(pretrained=True, **kwargs):

FILE: modules/control/proc/leres/leres/depthmap.py
  function scale_torch (line 18) | def scale_torch(img):
  function estimateleres (line 35) | def estimateleres(img, model, w, h):
  function generatemask (line 51) | def generatemask(size):
  function resizewithpool (line 62) | def resizewithpool(img, size):
  function rgb2gray (line 69) | def rgb2gray(rgb):
  function calculateprocessingres (line 73) | def calculateprocessingres(img, basesize, confidence=0.1, scale_threshol...
  function doubleestimate (line 131) | def doubleestimate(img, size1, size2, pix2pixsize, model, net_type, pix2...
  function singleestimate (line 155) | def singleestimate(img, msize, model, net_type):
  function applyGridpatch (line 161) | def applyGridpatch(blsize, stride, img, box):
  function generatepatchs (line 177) | def generatepatchs(img, base_size):
  function getGF_fromintegral (line 208) | def getGF_fromintegral(integralimage, rect):
  function adaptiveselection (line 218) | def adaptiveselection(integral_grad, patch_bound_list, gf):
  function impatch (line 268) | def impatch(image, rect):
  class ImageandPatchs (line 277) | class ImageandPatchs:
    method __init__ (line 278) | def __init__(self, root_dir, name, patchsinfo, rgb_image, scale=1):
    method __len__ (line 292) | def __len__(self):
    method set_base_estimate (line 295) | def set_base_estimate(self, est):
    method set_updated_estimate (line 300) | def set_updated_estimate(self, est):
    method __getitem__ (line 305) | def __getitem__(self, index):
    method print_options (line 325) | def print_options(self, opt):
    method parse (line 352) | def parse(self):
  function estimateboost (line 378) | def estimateboost(img, model, model_type, pix2pixmodel, max_res=512, dep...

FILE: modules/control/proc/leres/leres/multi_depth_model_woauxi.py
  class RelDepthModel (line 8) | class RelDepthModel(nn.Module):
    method __init__ (line 9) | def __init__(self, backbone='resnet50'):
    method inference (line 17) | def inference(self, rgb):
  class DepthModel (line 24) | class DepthModel(nn.Module):
    method __init__ (line 25) | def __init__(self, encoder):
    method forward (line 31) | def forward(self, x):

FILE: modules/control/proc/leres/leres/net_tools.py
  function get_func (line 7) | def get_func(func_name):
  function load_ckpt (line 27) | def load_ckpt(args, depth_model, shift_model, focal_model):
  function strip_prefix_if_present (line 47) | def strip_prefix_if_present(state_dict, prefix):

FILE: modules/control/proc/leres/leres/network_auxi.py
  function resnet50_stride32 (line 8) | def resnet50_stride32():
  function resnext101_stride32x8d (line 11) | def resnext101_stride32x8d():
  class Decoder (line 15) | class Decoder(nn.Module):
    method __init__ (line 16) | def __init__(self):
    method _init_params (line 34) | def _init_params(self):
    method forward (line 52) | def forward(self, features):
  class DepthNet (line 64) | class DepthNet(nn.Module):
    method __init__ (line 72) | def __init__(self,
    method forward (line 97) | def forward(self, x):
  class FTB (line 102) | class FTB(nn.Module):
    method __init__ (line 103) | def __init__(self, inchannels, midchannels=512):
    method forward (line 121) | def forward(self, x):
    method init_params (line 128) | def init_params(self):
  class ATA (line 149) | class ATA(nn.Module):
    method __init__ (line 150) | def __init__(self, inchannels, reduction=8):
    method forward (line 160) | def forward(self, low_x, high_x):
    method init_params (line 170) | def init_params(self):
  class FFM (line 193) | class FFM(nn.Module):
    method __init__ (line 194) | def __init__(self, inchannels, midchannels, outchannels, upfactor=2):
    method forward (line 209) | def forward(self, low_x, high_x):
    method init_params (line 217) | def init_params(self):
  class AO (line 240) | class AO(nn.Module):
    method __init__ (line 242) | def __init__(self, inchannels, outchannels, upfactor=2):
    method forward (line 259) | def forward(self, x):
    method init_params (line 263) | def init_params(self):
  class ResidualConv (line 290) | class ResidualConv(nn.Module):
    method __init__ (line 291) | def __init__(self, inchannels):
    method forward (line 308) | def forward(self, x):
    method init_params (line 312) | def init_params(self):
  class FeatureFusion (line 335) | class FeatureFusion(nn.Module):
    method __init__ (line 336) | def __init__(self, inchannels, outchannels):
    method forward (line 346) | def forward(self, lowfeat, highfeat):
    method init_params (line 349) | def init_params(self):
  class SenceUnderstand (line 372) | class SenceUnderstand(nn.Module):
    method __init__ (line 373) | def __init__(self, channels):
    method forward (line 386) | def forward(self, x):
    method initial_params (line 397) | def initial_params(self, dev=0.01):

FILE: modules/control/proc/leres/pix2pix/models/__init__.py
  function find_model_using_name (line 25) | def find_model_using_name(model_name):
  function get_option_setter (line 48) | def get_option_setter(model_name):
  function create_model (line 54) | def create_model(opt):

FILE: modules/control/proc/leres/pix2pix/models/base_model.py
  class BaseModel (line 12) | class BaseModel(ABC):
    method __init__ (line 22) | def __init__(self, opt):
    method modify_commandline_options (line 51) | def modify_commandline_options(parser, is_train):
    method set_input (line 64) | def set_input(self, input):
    method forward (line 73) | def forward(self):
    method optimize_parameters (line 78) | def optimize_parameters(self):
    method setup (line 82) | def setup(self, opt):
    method eval (line 95) | def eval(self):
    method test (line 102) | def test(self):
    method compute_visuals (line 110) | def compute_visuals(self): # noqa
    method get_image_paths (line 114) | def get_image_paths(self):
    method update_learning_rate (line 118) | def update_learning_rate(self):
    method get_current_visuals (line 130) | def get_current_visuals(self):
    method get_current_losses (line 138) | def get_current_losses(self):
    method save_networks (line 146) | def save_networks(self, epoch):
    method unload_network (line 164) | def unload_network(self, name):
    method __patch_instance_norm_state_dict (line 174) | def __patch_instance_norm_state_dict(self, state_dict, module, keys, i...
    method load_networks (line 188) | def load_networks(self, epoch):
    method print_networks (line 213) | def print_networks(self, verbose):
    method set_requires_grad (line 231) | def set_requires_grad(self, nets, requires_grad=False):

FILE: modules/control/proc/leres/pix2pix/models/base_model_hg.py
  class BaseModelHG (line 4) | class BaseModelHG():
    method name (line 5) | def name(self):
    method initialize (line 8) | def initialize(self, opt):
    method set_input (line 15) | def set_input(self, input):
    method forward (line 18) | def forward(self):
    method test (line 22) | def test(self):
    method get_image_paths (line 25) | def get_image_paths(self):
    method optimize_parameters (line 28) | def optimize_parameters(self):
    method get_current_visuals (line 31) | def get_current_visuals(self):
    method get_current_errors (line 34) | def get_current_errors(self):
    method save (line 37) | def save(self, label):
    method save_network (line 41) | def save_network(self, network, network_label, epoch_label, gpu_ids):
    method load_network (line 49) | def load_network(self, network, network_label, epoch_label):
    method update_learning_rate (line 57) | def update_learning_rate():

FILE: modules/control/proc/leres/pix2pix/models/networks.py
  class Identity (line 13) | class Identity(nn.Module):
    method forward (line 14) | def forward(self, x):
  function get_norm_layer (line 18) | def get_norm_layer(norm_type='instance'):
  function get_scheduler (line 38) | def get_scheduler(optimizer, opt):
  function init_weights (line 67) | def init_weights(net, init_type='normal', init_gain=0.02):
  function init_net (line 101) | def init_net(net, init_type='normal', init_gain=0.02, gpu_ids=None):
  function define_G (line 121) | def define_G(input_nc, output_nc, ngf, netG, norm='batch', use_dropout=F...
  function define_D (line 174) | def define_D(input_nc, ndf, netD, n_layers_D=3, norm='batch', init_type=...
  class GANLoss (line 223) | class GANLoss(nn.Module):
    method __init__ (line 230) | def __init__(self, gan_mode, target_real_label=1.0, target_fake_label=...
    method get_target_tensor (line 254) | def get_target_tensor(self, prediction, target_is_real):
    method __call__ (line 271) | def __call__(self, prediction, target_is_real):
  function cal_gradient_penalty (line 292) | def cal_gradient_penalty(netD, real_data, fake_data, device, type='mixed...
  class ResnetGenerator (line 329) | class ResnetGenerator(nn.Module):
    method __init__ (line 335) | def __init__(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNor...
    method forward (line 384) | def forward(self, input):
  class ResnetBlock (line 389) | class ResnetBlock(nn.Module):
    method __init__ (line 392) | def __init__(self, dim, padding_type, norm_layer, use_dropout, use_bias):
    method build_conv_block (line 403) | def build_conv_block(self, dim, padding_type, norm_layer, use_dropout,...
    method forward (line 443) | def forward(self, x):
  class UnetGenerator (line 449) | class UnetGenerator(nn.Module):
    method __init__ (line 452) | def __init__(self, input_nc, output_nc, num_downs, ngf=64, norm_layer=...
    method forward (line 476) | def forward(self, input):
  class UnetSkipConnectionBlock (line 481) | class UnetSkipConnectionBlock(nn.Module):
    method __init__ (line 487) | def __init__(self, outer_nc, inner_nc, input_nc=None,
    method forward (line 544) | def forward(self, x):
  class NLayerDiscriminator (line 551) | class NLayerDiscriminator(nn.Module):
    method __init__ (line 554) | def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNo...
    method forward (line 594) | def forward(self, input):
  class PixelDiscriminator (line 599) | class PixelDiscriminator(nn.Module):
    method __init__ (line 602) | def __init__(self, input_nc, ndf=64, norm_layer=nn.BatchNorm2d):
    method forward (line 626) | def forward(self, input):

FILE: modules/control/proc/leres/pix2pix/models/pix2pix4depth_model.py
  class Pix2Pix4DepthModel (line 6) | class Pix2Pix4DepthModel(BaseModel):
    method modify_commandline_options (line 17) | def modify_commandline_options(parser, is_train=True):
    method __init__ (line 38) | def __init__(self, opt):
    method set_input_train (line 80) | def set_input_train(self, input):
    method set_input (line 96) | def set_input(self, outer, inner):
    method normalize (line 109) | def normalize(self, input):
    method forward (line 114) | def forward(self):
    method backward_D (line 118) | def backward_D(self):
    method backward_G (line 132) | def backward_G(self):
    method optimize_parameters (line 144) | def optimize_parameters(self):

FILE: modules/control/proc/leres/pix2pix/options/base_options.py
  class BaseOptions (line 9) | class BaseOptions():
    method __init__ (line 16) | def __init__(self):
    method initialize (line 20) | def initialize(self, parser):
    method gather_options (line 79) | def gather_options(self):
    method print_options (line 108) | def print_options(self, opt):
    method parse (line 133) | def parse(self):

FILE: modules/control/proc/leres/pix2pix/options/test_options.py
  class TestOptions (line 4) | class TestOptions(BaseOptions):
    method initialize (line 10) | def initialize(self, parser):

FILE: modules/control/proc/leres/pix2pix/util/util.py
  function tensor2im (line 9) | def tensor2im(input_image, imtype=np.uint16):
  function diagnose_network (line 28) | def diagnose_network(net, name='network'):
  function save_image (line 47) | def save_image(image_numpy, image_path, aspect_ratio=1.0):
  function print_numpy (line 69) | def print_numpy(x, val=True, shp=False):
  function mkdirs (line 85) | def mkdirs(paths):
  function mkdir (line 98) | def mkdir(path):

FILE: modules/control/proc/lineart.py
  class ResidualBlock (line 15) | class ResidualBlock(nn.Module):
    method __init__ (line 16) | def __init__(self, in_features):
    method forward (line 30) | def forward(self, x):
  class Generator (line 34) | class Generator(nn.Module):
    method __init__ (line 35) | def __init__(self, input_nc, output_nc, n_residual_blocks=9, sigmoid=T...
    method forward (line 82) | def forward(self, x, cond=None): # pylint: disable=unused-argument
  class LineartDetector (line 92) | class LineartDetector:
    method __init__ (line 93) | def __init__(self, model, coarse_model):
    method from_pretrained (line 98) | def from_pretrained(cls, pretrained_model_or_path, filename=None, coar...
    method to (line 119) | def to(self, device):
    method __call__ (line 124) | def __call__(self, input_image, coarse=False, detect_resolution=512, i...

FILE: modules/control/proc/lineart_anime.py
  class UnetGenerator (line 15) | class UnetGenerator(nn.Module):
    method __init__ (line 18) | def __init__(self, input_nc, output_nc, num_downs, ngf=64, norm_layer=...
    method forward (line 41) | def forward(self, input): # pylint: disable=redefined-builtin
  class UnetSkipConnectionBlock (line 46) | class UnetSkipConnectionBlock(nn.Module):
    method __init__ (line 52) | def __init__(self, outer_nc, inner_nc, input_nc=None,
    method forward (line 108) | def forward(self, x):
  class LineartAnimeDetector (line 115) | class LineartAnimeDetector:
    method __init__ (line 116) | def __init__(self, model):
    method from_pretrained (line 120) | def from_pretrained(cls, pretrained_model_or_path, filename=None, cach...
    method to (line 137) | def to(self, device):
    method __call__ (line 141) | def __call__(self, input_image, detect_resolution=512, image_resolutio...

FILE: modules/control/proc/marigold/__init__.py
  class MarigoldDetector (line 9) | class MarigoldDetector:
    method __init__ (line 10) | def __init__(self, model):
    method from_pretrained (line 14) | def from_pretrained(cls, pretrained_model_or_path, cache_dir=None, **l...
    method to (line 18) | def to(self, device):
    method __call__ (line 22) | def __call__(

FILE: modules/control/proc/marigold/marigold_pipeline.py
  class MarigoldDepthOutput (line 43) | class MarigoldDepthOutput(BaseOutput):
  class MarigoldPipeline (line 61) | class MarigoldPipeline(DiffusionPipeline):
    method __init__ (line 85) | def __init__(
    method __call__ (line 106) | def __call__(
    method __encode_empty_text (line 255) | def __encode_empty_text(self):
    method single_infer (line 271) | def single_infer(
    method encode_rgb (line 341) | def encode_rgb(self, rgb_in: torch.Tensor) -> torch.Tensor:
    method decode_depth (line 360) | def decode_depth(self, depth_latent: torch.Tensor) -> torch.Tensor:

FILE: modules/control/proc/marigold/util/batchsize.py
  function find_batch_size (line 51) | def find_batch_size(ensemble_size: int, input_res: int, dtype: torch.dty...

FILE: modules/control/proc/marigold/util/ensemble.py
  function inter_distances (line 27) | def inter_distances(tensors: torch.Tensor):
  function ensemble_depths (line 40) | def ensemble_depths(

FILE: modules/control/proc/marigold/util/image_util.py
  function colorize_depth_maps (line 27) | def colorize_depth_maps(
  function chw2hwc (line 68) | def chw2hwc(chw):
  function resize_max_res (line 77) | def resize_max_res(img: Image.Image, max_edge_resolution: int) -> Image....

FILE: modules/control/proc/marigold/util/seed_all.py
  function seed_all (line 26) | def seed_all(seed: int = 0):

FILE: modules/control/proc/mediapipe_face.py
  function check_dependencies (line 10) | def check_dependencies():
  class MediapipeFaceDetector (line 26) | class MediapipeFaceDetector:
    method __call__ (line 27) | def __call__(self,

FILE: modules/control/proc/mediapipe_face_util.py
  function draw_pupils (line 56) | def draw_pupils(image, landmark_list, drawing_spec, halfwidth: int = 2):
  function reverse_channels (line 85) | def reverse_channels(image):
  function generate_annotation (line 92) | def generate_annotation(

FILE: modules/control/proc/midas/__init__.py
  class MidasDetector (line 15) | class MidasDetector:
    method __init__ (line 16) | def __init__(self, model):
    method from_pretrained (line 20) | def from_pretrained(cls, pretrained_model_or_path, model_type="dpt_hyb...
    method to (line 33) | def to(self, device):
    method __call__ (line 37) | def __call__(self, input_image, a=np.pi * 2.0, bg_th=0.1, depth_and_no...

FILE: modules/control/proc/midas/api.py
  function disabled_train (line 26) | def disabled_train(self, mode=True):
  function load_midas_transform (line 32) | def load_midas_transform(model_type):
  function load_model (line 77) | def load_model(model_type, model_path=None):
  class MiDaSInference (line 145) | class MiDaSInference(nn.Module):
    method __init__ (line 158) | def __init__(self, model_type, model_path):
    method forward (line 165) | def forward(self, x):

FILE: modules/control/proc/midas/midas/base_model.py
  class BaseModel (line 4) | class BaseModel(torch.nn.Module):
    method load (line 5) | def load(self, path):

FILE: modules/control/proc/midas/midas/blocks.py
  function _make_encoder (line 11) | def _make_encoder(backbone, features, use_pretrained, groups=1, expand=F...
  function _make_scratch (line 49) | def _make_scratch(in_shape, out_shape, groups=1, expand=False):
  function _make_pretrained_efficientnet_lite3 (line 78) | def _make_pretrained_efficientnet_lite3(use_pretrained, exportable=False):
  function _make_efficientnet_backbone (line 88) | def _make_efficientnet_backbone(effnet):
  function _make_resnet_backbone (line 101) | def _make_resnet_backbone(resnet):
  function _make_pretrained_resnext101_wsl (line 114) | def _make_pretrained_resnext101_wsl(use_pretrained):
  class Interpolate (line 120) | class Interpolate(nn.Module):
    method __init__ (line 124) | def __init__(self, scale_factor, mode, align_corners=False):
    method forward (line 138) | def forward(self, x):
  class ResidualConvUnit (line 155) | class ResidualConvUnit(nn.Module):
    method __init__ (line 159) | def __init__(self, features):
    method forward (line 177) | def forward(self, x):
  class FeatureFusionBlock (line 194) | class FeatureFusionBlock(nn.Module):
    method __init__ (line 198) | def __init__(self, features):
    method forward (line 209) | def forward(self, *xs):
  class ResidualConvUnit_custom (line 231) | class ResidualConvUnit_custom(nn.Module):
    method __init__ (line 235) | def __init__(self, features, activation, bn):
    method forward (line 263) | def forward(self, x):
  class FeatureFusionBlock_custom (line 291) | class FeatureFusionBlock_custom(nn.Module):
    method __init__ (line 295) | def __init__(self, features, activation, deconv=False, bn=False, expan...
    method forward (line 320) | def forward(self, *xs):

FILE: modules/control/proc/midas/midas/dpt_depth.py
  function _make_fusion_block (line 15) | def _make_fusion_block(features, use_bn):
  class DPT (line 26) | class DPT(BaseModel):
    method __init__ (line 27) | def __init__(
    method forward (line 67) | def forward(self, x):
  class DPTDepthModel (line 88) | class DPTDepthModel(DPT):
    method __init__ (line 89) | def __init__(self, path=None, non_negative=True, **kwargs):
    method forward (line 107) | def forward(self, x):

FILE: modules/control/proc/midas/midas/midas_net.py
  class MidasNet (line 12) | class MidasNet(BaseModel):
    method __init__ (line 16) | def __init__(self, path=None, features=256, non_negative=True):
    method forward (line 49) | def forward(self, x):

FILE: modules/control/proc/midas/midas/midas_net_custom.py
  class MidasNet_small (line 12) | class MidasNet_small(BaseModel):
    method __init__ (line 16) | def __init__(self, path=None, features=64, backbone="efficientnet_lite...
    method forward (line 75) | def forward(self, x):
  function fuse_model (line 111) | def fuse_model(m):

FILE: modules/control/proc/midas/midas/transforms.py
  function apply_min_size (line 6) | def apply_min_size(sample, size, image_interpolation_method=cv2.INTER_AR...
  class Resize (line 48) | class Resize(object):
    method __init__ (line 52) | def __init__(
    method constrain_to_multiple_of (line 94) | def constrain_to_multiple_of(self, x, min_val=0, max_val=None):
    method get_size (line 105) | def get_size(self, width, height):
    method __call__ (line 162) | def __call__(self, sample):
  class NormalizeImage (line 197) | class NormalizeImage(object):
    method __init__ (line 201) | def __init__(self, mean, std):
    method __call__ (line 205) | def __call__(self, sample):
  class PrepareForNet (line 211) | class PrepareForNet(object):
    method __init__ (line 215) | def __init__(self):
    method __call__ (line 218) | def __call__(self, sample):

FILE: modules/control/proc/midas/midas/vit.py
  class Slice (line 9) | class Slice(nn.Module):
    method __init__ (line 10) | def __init__(self, start_index=1):
    method forward (line 14) | def forward(self, x):
  class AddReadout (line 18) | class AddReadout(nn.Module):
    method __init__ (line 19) | def __init__(self, start_index=1):
    method forward (line 23) | def forward(self, x):
  class ProjectReadout (line 31) | class ProjectReadout(nn.Module):
    method __init__ (line 32) | def __init__(self, in_features, start_index=1):
    method forward (line 38) | def forward(self, x):
  class Transpose (line 45) | class Transpose(nn.Module):
    method __init__ (line 46) | def __init__(self, dim0, dim1):
    method forward (line 51) | def forward(self, x):
  function forward_vit (line 56) | def forward_vit(pretrained, x):
  function _resize_pos_embed (line 100) | def _resize_pos_embed(self, posemb, gs_h, gs_w):
  function forward_flex (line 117) | def forward_flex(self, x):
  function get_activation (line 159) | def get_activation(name):
  function get_readout_oper (line 166) | def get_readout_oper(vit_features, features, use_readout, start_index=1):
  function _make_vit_b16_backbone (line 181) | def _make_vit_b16_backbone(
  function _make_pretrained_vitl16_384 (line 301) | def _make_pretrained_vitl16_384(pretrained, use_readout="ignore", hooks=...
  function _make_pretrained_vitb16_384 (line 314) | def _make_pretrained_vitb16_384(pretrained, use_readout="ignore", hooks=...
  function _make_pretrained_deitb16_384 (line 323) | def _make_pretrained_deitb16_384(pretrained, use_readout="ignore", hooks...
  function _make_pretrained_deitb16_distil_384 (line 332) | def _make_pretrained_deitb16_distil_384(pretrained, use_readout="ignore"...
  function _make_vit_b_rn50_backbone (line 347) | def _make_vit_b_rn50_backbone(
  function _make_pretrained_vitb_rn50_384 (line 488) | def _make_pretrained_vitb_rn50_384(

FILE: modules/control/proc/midas/utils.py
  function read_pfm (line 9) | def read_pfm(path):
  function write_pfm (line 58) | def write_pfm(path, image, scale=1):
  function read_image (line 97) | def read_image(path):
  function resize_image (line 116) | def resize_image(img):
  function resize_depth (line 146) | def resize_depth(depth, width, height):
  function write_depth (line 165) | def write_depth(path, depth, bits=1):

FILE: modules/control/proc/mlsd/__init__.py
  class MLSDdetector (line 14) | class MLSDdetector:
    method __init__ (line 15) | def __init__(self, model):
    method from_pretrained (line 19) | def from_pretrained(cls, pretrained_model_or_path, filename=None, cach...
    method to (line 33) | def to(self, device):
    method __call__ (line 37) | def __call__(self, input_image, thr_v=0.1, thr_d=0.1, detect_resolutio...

FILE: modules/control/proc/mlsd/models/mbv2_mlsd_large.py
  class BlockTypeA (line 9) | class BlockTypeA(nn.Module):
    method __init__ (line 10) | def __init__(self, in_c1, in_c2, out_c1, out_c2, upscale = True):
    method forward (line 24) | def forward(self, a, b):
  class BlockTypeB (line 32) | class BlockTypeB(nn.Module):
    method __init__ (line 33) | def __init__(self, in_c, out_c):
    method forward (line 46) | def forward(self, x):
  class BlockTypeC (line 51) | class BlockTypeC(nn.Module):
    method __init__ (line 52) | def __init__(self, in_c, out_c):
    method forward (line 66) | def forward(self, x):
  function _make_divisible (line 72) | def _make_divisible(v, divisor, min_value=None):
  class ConvBNReLU (line 92) | class ConvBNReLU(nn.Sequential):
    method __init__ (line 93) | def __init__(self, in_planes, out_planes, kernel_size=3, stride=1, gro...
    method forward (line 112) | def forward(self, x):
  class InvertedResidual (line 124) | class InvertedResidual(nn.Module):
    method __init__ (line 125) | def __init__(self, inp, oup, stride, expand_ratio):
    method forward (line 146) | def forward(self, x):
  class MobileNetV2 (line 153) | class MobileNetV2(nn.Module):
    method __init__ (line 154) | def __init__(self, pretrained=True):
    method _forward_impl (line 218) | def _forward_impl(self, x):
    method forward (line 233) | def forward(self, x):
    method _load_pretrained_model (line 236) | def _load_pretrained_model(self):
  class MobileV2_MLSD_Large (line 247) | class MobileV2_MLSD_Large(nn.Module):
    method __init__ (line 248) | def __init__(self):
    method forward (line 275) | def forward(self, x):

FILE: modules/control/proc/mlsd/models/mbv2_mlsd_tiny.py
  class BlockTypeA (line 9) | class BlockTypeA(nn.Module):
    method __init__ (line 10) | def __init__(self, in_c1, in_c2, out_c1, out_c2, upscale = True):
    method forward (line 24) | def forward(self, a, b):
  class BlockTypeB (line 31) | class BlockTypeB(nn.Module):
    method __init__ (line 32) | def __init__(self, in_c, out_c):
    method forward (line 45) | def forward(self, x):
  class BlockTypeC (line 50) | class BlockTypeC(nn.Module):
    method __init__ (line 51) | def __init__(self, in_c, out_c):
    method forward (line 65) | def forward(self, x):
  function _make_divisible (line 71) | def _make_divisible(v, divisor, min_value=None):
  class ConvBNReLU (line 91) | class ConvBNReLU(nn.Sequential):
    method __init__ (line 92) | def __init__(self, in_planes, out_planes, kernel_size=3, stride=1, gro...
    method forward (line 111) | def forward(self, x):
  class InvertedResidual (line 123) | class InvertedResidual(nn.Module):
    method __init__ (line 124) | def __init__(self, inp, oup, stride, expand_ratio):
    method forward (line 145) | def forward(self, x):
  class MobileNetV2 (line 152) | class MobileNetV2(nn.Module):
    method __init__ (line 153) | def __init__(self, pretrained=True):
    method _forward_impl (line 218) | def _forward_impl(self, x):
    method forward (line 233) | def forward(self, x):
    method _load_pretrained_model (line 236) | def _load_pretrained_model(self):
  class MobileV2_MLSD_Tiny (line 247) | class MobileV2_MLSD_Tiny(nn.Module):
    method __init__ (line 248) | def __init__(self):
    method forward (line 263) | def forward(self, x):

FILE: modules/control/proc/mlsd/utils.py
  function deccode_output_score_and_ptss (line 19) | def deccode_output_score_and_ptss(tpMap, topk_n = 200, ksize = 5):
  function pred_lines (line 47) | def pred_lines(image, model,
  function pred_squares (line 94) | def pred_squares(image,

FILE: modules/control/proc/normalbae/__init__.py
  function load_checkpoint (line 17) | def load_checkpoint(fpath, model):
  class NormalBaeDetector (line 30) | class NormalBaeDetector:
    method __init__ (line 31) | def __init__(self, model):
    method from_pretrained (line 36) | def from_pretrained(cls, pretrained_model_or_path, filename=None, cach...
    method to (line 53) | def to(self, device):
    method __call__ (line 58) | def __call__(self, input_image, detect_resolution=512, image_resolutio...

FILE: modules/control/proc/normalbae/nets/NNET.py
  class NNET (line 6) | class NNET(nn.Module):
    method __init__ (line 7) | def __init__(self, args):
    method get_1x_lr_params (line 12) | def get_1x_lr_params(self):  # lr/10 learning rate
    method get_10x_lr_params (line 15) | def get_10x_lr_params(self):  # lr learning rate
    method forward (line 18) | def forward(self, img, **kwargs):

FILE: modules/control/proc/normalbae/nets/baseline.py
  class NNET (line 9) | class NNET(nn.Module):
    method __init__ (line 10) | def __init__(self, args=None):
    method forward (line 15) | def forward(self, x, **kwargs):
    method get_1x_lr_params (line 25) | def get_1x_lr_params(self):  # lr/10 learning rate
    method get_10x_lr_params (line 28) | def get_10x_lr_params(self):  # lr learning rate
  class Encoder (line 35) | class Encoder(nn.Module):
    method __init__ (line 36) | def __init__(self):
    method forward (line 48) | def forward(self, x):
  class Decoder (line 60) | class Decoder(nn.Module):
    method __init__ (line 61) | def __init__(self, num_classes=4):
    method forward (line 70) | def forward(self, features):

FILE: modules/control/proc/normalbae/nets/submodules/decoder.py
  class Decoder (line 7) | class Decoder(nn.Module):
    method __init__ (line 8) | def __init__(self, args):
    method forward (line 59) | def forward(self, features, gt_norm_mask=None, mode='test'):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/__init__.py
  function add_override_act_fn (line 65) | def add_override_act_fn(name, fn):
  function update_override_act_fn (line 70) | def update_override_act_fn(overrides):
  function clear_override_act_fn (line 76) | def clear_override_act_fn():
  function add_override_act_layer (line 81) | def add_override_act_layer(name, fn):
  function update_override_act_layer (line 85) | def update_override_act_layer(overrides):
  function clear_override_act_layer (line 91) | def clear_override_act_layer():
  function get_act_fn (line 96) | def get_act_fn(name='relu'):
  function get_act_layer (line 118) | def get_act_layer(name='relu'):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations.py
  function swish (line 12) | def swish(x, inplace: bool = False):
  class Swish (line 19) | class Swish(nn.Module):
    method __init__ (line 20) | def __init__(self, inplace: bool = False):
    method forward (line 24) | def forward(self, x):
  function mish (line 28) | def mish(x, inplace: bool = False):
  class Mish (line 34) | class Mish(nn.Module):
    method __init__ (line 35) | def __init__(self, inplace: bool = False):
    method forward (line 39) | def forward(self, x):
  function sigmoid (line 43) | def sigmoid(x, inplace: bool = False):
  class Sigmoid (line 48) | class Sigmoid(nn.Module):
    method __init__ (line 49) | def __init__(self, inplace: bool = False):
    method forward (line 53) | def forward(self, x):
  function tanh (line 57) | def tanh(x, inplace: bool = False):
  class Tanh (line 62) | class Tanh(nn.Module):
    method __init__ (line 63) | def __init__(self, inplace: bool = False):
    method forward (line 67) | def forward(self, x):
  function hard_swish (line 71) | def hard_swish(x, inplace: bool = False):
  class HardSwish (line 76) | class HardSwish(nn.Module):
    method __init__ (line 77) | def __init__(self, inplace: bool = False):
    method forward (line 81) | def forward(self, x):
  function hard_sigmoid (line 85) | def hard_sigmoid(x, inplace: bool = False):
  class HardSigmoid (line 92) | class HardSigmoid(nn.Module):
    method __init__ (line 93) | def __init__(self, inplace: bool = False):
    method forward (line 97) | def forward(self, x):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations_jit.py
  function swish_jit (line 22) | def swish_jit(x, inplace: bool = False):
  function mish_jit (line 30) | def mish_jit(x, _inplace: bool = False):
  class SwishJit (line 36) | class SwishJit(nn.Module):
    method __init__ (line 37) | def __init__(self, inplace: bool = False):
    method forward (line 40) | def forward(self, x):
  class MishJit (line 44) | class MishJit(nn.Module):
    method __init__ (line 45) | def __init__(self, inplace: bool = False):
    method forward (line 48) | def forward(self, x):
  function hard_sigmoid_jit (line 53) | def hard_sigmoid_jit(x, inplace: bool = False):
  class HardSigmoidJit (line 58) | class HardSigmoidJit(nn.Module):
    method __init__ (line 59) | def __init__(self, inplace: bool = False):
    method forward (line 62) | def forward(self, x):
  function hard_swish_jit (line 67) | def hard_swish_jit(x, inplace: bool = False):
  class HardSwishJit (line 72) | class HardSwishJit(nn.Module):
    method __init__ (line 73) | def __init__(self, inplace: bool = False):
    method forward (line 76) | def forward(self, x):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/activations/activations_me.py
  function swish_jit_fwd (line 22) | def swish_jit_fwd(x):
  function swish_jit_bwd (line 27) | def swish_jit_bwd(x, grad_output):
  class SwishJitAutoFn (line 32) | class SwishJitAutoFn(torch.autograd.Function):
    method forward (line 42) | def forward(ctx, x):
    method backward (line 47) | def backward(ctx, grad_output):
  function swish_me (line 52) | def swish_me(x, inplace=False):
  class SwishMe (line 56) | class SwishMe(nn.Module):
    method __init__ (line 57) | def __init__(self, inplace: bool = False):
    method forward (line 60) | def forward(self, x):
  function mish_jit_fwd (line 65) | def mish_jit_fwd(x):
  function mish_jit_bwd (line 70) | def mish_jit_bwd(x, grad_output):
  class MishJitAutoFn (line 76) | class MishJitAutoFn(torch.autograd.Function):
    method forward (line 81) | def forward(ctx, x):
    method backward (line 86) | def backward(ctx, grad_output):
  function mish_me (line 91) | def mish_me(x, inplace=False):
  class MishMe (line 95) | class MishMe(nn.Module):
    method __init__ (line 96) | def __init__(self, inplace: bool = False):
    method forward (line 99) | def forward(self, x):
  function hard_sigmoid_jit_fwd (line 104) | def hard_sigmoid_jit_fwd(x, inplace: bool = False):
  function hard_sigmoid_jit_bwd (line 109) | def hard_sigmoid_jit_bwd(x, grad_output):
  class HardSigmoidJitAutoFn (line 114) | class HardSigmoidJitAutoFn(torch.autograd.Function):
    method forward (line 116) | def forward(ctx, x):
    method backward (line 121) | def backward(ctx, grad_output):
  function hard_sigmoid_me (line 126) | def hard_sigmoid_me(x, inplace: bool = False):
  class HardSigmoidMe (line 130) | class HardSigmoidMe(nn.Module):
    method __init__ (line 131) | def __init__(self, inplace: bool = False):
    method forward (line 134) | def forward(self, x):
  function hard_swish_jit_fwd (line 139) | def hard_swish_jit_fwd(x):
  function hard_swish_jit_bwd (line 144) | def hard_swish_jit_bwd(x, grad_output):
  class HardSwishJitAutoFn (line 150) | class HardSwishJitAutoFn(torch.autograd.Function):
    method forward (line 153) | def forward(ctx, x):
    method backward (line 158) | def backward(ctx, grad_output):
  function hard_swish_me (line 163) | def hard_swish_me(x, inplace=False):
  class HardSwishMe (line 167) | class HardSwishMe(nn.Module):
    method __init__ (line 168) | def __init__(self, inplace: bool = False):
    method forward (line 171) | def forward(self, x):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/config.py
  function is_no_jit (line 25) | def is_no_jit():
  class set_no_jit (line 29) | class set_no_jit:
    method __init__ (line 30) | def __init__(self, mode: bool) -> None:
    method __enter__ (line 35) | def __enter__(self) -> None:
    method __exit__ (line 38) | def __exit__(self, *args: Any) -> bool:
  function is_exportable (line 44) | def is_exportable():
  class set_exportable (line 48) | class set_exportable:
    method __init__ (line 49) | def __init__(self, mode: bool) -> None:
    method __enter__ (line 54) | def __enter__(self) -> None:
    method __exit__ (line 57) | def __exit__(self, *args: Any) -> bool:
  function is_scriptable (line 63) | def is_scriptable():
  class set_scriptable (line 67) | class set_scriptable:
    method __init__ (line 68) | def __init__(self, mode: bool) -> None:
    method __enter__ (line 73) | def __enter__(self) -> None:
    method __exit__ (line 76) | def __exit__(self, *args: Any) -> bool:
  class set_layer_config (line 82) | class set_layer_config:
    method __init__ (line 86) | def __init__(
    method __enter__ (line 106) | def __enter__(self) -> None:
    method __exit__ (line 109) | def __exit__(self, *args: Any) -> bool:
  function layer_config_kwargs (line 118) | def layer_config_kwargs(kwargs):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/conv2d_layers.py
  function _ntuple (line 23) | def _ntuple(n):
  function _is_static_pad (line 37) | def _is_static_pad(kernel_size, stride=1, dilation=1, **_):
  function _get_padding (line 41) | def _get_padding(kernel_size, stride=1, dilation=1, **_):
  function _calc_same_pad (line 46) | def _calc_same_pad(i: int, k: int, s: int, d: int):
  function _same_pad_arg (line 50) | def _same_pad_arg(input_size, kernel_size, stride, dilation):
  function _split_channels (line 58) | def _split_channels(num_chan, num_groups):
  function conv2d_same (line 64) | def conv2d_same(
  class Conv2dSame (line 75) | class Conv2dSame(nn.Conv2d):
    method __init__ (line 80) | def __init__(self, in_channels, out_channels, kernel_size, stride=1,
    method forward (line 85) | def forward(self, x):
  class Conv2dSameExport (line 89) | class Conv2dSameExport(nn.Conv2d):
    method __init__ (line 96) | def __init__(self, in_channels, out_channels, kernel_size, stride=1,
    method forward (line 103) | def forward(self, x):
  function get_padding_value (line 116) | def get_padding_value(padding, kernel_size, **kwargs):
  function create_conv2d_pad (line 139) | def create_conv2d_pad(in_chs, out_chs, kernel_size, **kwargs):
  class MixedConv2d (line 153) | class MixedConv2d(nn.ModuleDict):
    method __init__ (line 159) | def __init__(self, in_channels, out_channels, kernel_size=3,
    method forward (line 179) | def forward(self, x):
  function get_condconv_initializer (line 186) | def get_condconv_initializer(initializer, num_experts, expert_shape):
  class CondConv2d (line 199) | class CondConv2d(nn.Module):
    method __init__ (line 208) | def __init__(self, in_channels, out_channels, kernel_size=3,
    method reset_parameters (line 238) | def reset_parameters(self):
    method forward (line 249) | def forward(self, x, routing_weights):
  function select_conv2d (line 290) | def select_conv2d(in_chs, out_chs, kernel_size, **kwargs):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/efficientnet_builder.py
  function get_bn_args_tf (line 30) | def get_bn_args_tf():
  function resolve_bn_args (line 34) | def resolve_bn_args(kwargs):
  function resolve_se_args (line 52) | def resolve_se_args(kwargs, in_chs, act_layer=None):
  function resolve_act_layer (line 67) | def resolve_act_layer(kwargs, default='relu'):
  function make_divisible (line 74) | def make_divisible(v: int, divisor: int = 8, min_value: int = None):
  function round_channels (line 82) | def round_channels(channels, multiplier=1.0, divisor=8, channel_min=None):
  function drop_connect (line 90) | def drop_connect(inputs, training: bool = False, drop_connect_rate: floa...
  class SqueezeExcite (line 103) | class SqueezeExcite(nn.Module):
    method __init__ (line 105) | def __init__(self, in_chs, se_ratio=0.25, reduced_base_chs=None, act_l...
    method forward (line 113) | def forward(self, x):
  class ConvBnAct (line 122) | class ConvBnAct(nn.Module):
    method __init__ (line 123) | def __init__(self, in_chs, out_chs, kernel_size,
    method forward (line 132) | def forward(self, x):
  class DepthwiseSeparableConv (line 139) | class DepthwiseSeparableConv(nn.Module):
    method __init__ (line 144) | def __init__(self, in_chs, out_chs, dw_kernel_size=3,
    method forward (line 170) | def forward(self, x):
  class InvertedResidual (line 190) | class InvertedResidual(nn.Module):
    method __init__ (line 193) | def __init__(self, in_chs, out_chs, dw_kernel_size=3,
    method forward (line 227) | def forward(self, x):
  class CondConvResidual (line 254) | class CondConvResidual(InvertedResidual):
    method __init__ (line 257) | def __init__(self, in_chs, out_chs, dw_kernel_size=3,
    method forward (line 275) | def forward(self, x):
  class EdgeResidual (line 306) | class EdgeResidual(nn.Module):
    method __init__ (line 309) | def __init__(self, in_chs, out_chs, exp_kernel_size=3, exp_ratio=1.0, ...
    method forward (line 334) | def forward(self, x):
  class EfficientNetBuilder (line 357) | class EfficientNetBuilder:
    method __init__ (line 367) | def __init__(self, channel_multiplier=1.0, channel_divisor=8, channel_...
    method _round_channels (line 385) | def _round_channels(self, chs):
    method _make_block (line 388) | def _make_block(self, ba):
    method _make_stack (line 423) | def _make_stack(self, stack_args):
    method __call__ (line 435) | def __call__(self, in_chs, block_args):
  function _parse_ksize (line 456) | def _parse_ksize(ss):
  function _decode_block_str (line 463) | def _decode_block_str(block_str):
  function _scale_stage_depth (line 582) | def _scale_stage_depth(stack_args, repeats, depth_multiplier=1.0, depth_...
  function decode_arch_def (line 620) | def decode_arch_def(arch_def, depth_multiplier=1.0, depth_trunc='ceil', ...
  function initialize_weight_goog (line 640) | def initialize_weight_goog(m, n='', fix_group_fanout=True):
  function initialize_weight_default (line 672) | def initialize_weight_default(m, n=''):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/gen_efficientnet.py
  class GenEfficientNet (line 215) | class GenEfficientNet(nn.Module):
    method __init__ (line 226) | def __init__(self, block_args, num_classes=1000, in_chans=3, num_featu...
    method features (line 259) | def features(self, x):
    method as_sequential (line 269) | def as_sequential(self):
    method forward (line 277) | def forward(self, x):
  function _create_model (line 286) | def _create_model(model_kwargs, variant, pretrained=False):
  function _gen_mnasnet_a1 (line 296) | def _gen_mnasnet_a1(variant, channel_multiplier=1.0, pretrained=False, *...
  function _gen_mnasnet_b1 (line 334) | def _gen_mnasnet_b1(variant, channel_multiplier=1.0, pretrained=False, *...
  function _gen_mnasnet_small (line 372) | def _gen_mnasnet_small(variant, channel_multiplier=1.0, pretrained=False...
  function _gen_mobilenet_v2 (line 403) | def _gen_mobilenet_v2(
  function _gen_fbnetc (line 433) | def _gen_fbnetc(variant, channel_multiplier=1.0, pretrained=False, **kwa...
  function _gen_spnasnet (line 465) | def _gen_spnasnet(variant, channel_multiplier=1.0, pretrained=False, **k...
  function _gen_efficientnet (line 502) | def _gen_efficientnet(variant, channel_multiplier=1.0, depth_multiplier=...
  function _gen_efficientnet_edge (line 548) | def _gen_efficientnet_edge(variant, channel_multiplier=1.0, depth_multip...
  function _gen_efficientnet_condconv (line 573) | def _gen_efficientnet_condconv(
  function _gen_efficientnet_lite (line 599) | def _gen_efficientnet_lite(variant, channel_multiplier=1.0, depth_multip...
  function _gen_mixnet_s (line 641) | def _gen_mixnet_s(variant, channel_multiplier=1.0, pretrained=False, **k...
  function _gen_mixnet_m (line 676) | def _gen_mixnet_m(variant, channel_multiplier=1.0, depth_multiplier=1.0,...
  function mnasnet_050 (line 711) | def mnasnet_050(pretrained=False, **kwargs):
  function mnasnet_075 (line 717) | def mnasnet_075(pretrained=False, **kwargs):
  function mnasnet_100 (line 723) | def mnasnet_100(pretrained=False, **kwargs):
  function mnasnet_b1 (line 729) | def mnasnet_b1(pretrained=False, **kwargs):
  function mnasnet_140 (line 734) | def mnasnet_140(pretrained=False, **kwargs):
  function semnasnet_050 (line 740) | def semnasnet_050(pretrained=False, **kwargs):
  function semnasnet_075 (line 746) | def semnasnet_075(pretrained=False, **kwargs):
  function semnasnet_100 (line 752) | def semnasnet_100(pretrained=False, **kwargs):
  function mnasnet_a1 (line 758) | def mnasnet_a1(pretrained=False, **kwargs):
  function semnasnet_140 (line 763) | def semnasnet_140(pretrained=False, **kwargs):
  function mnasnet_small (line 769) | def mnasnet_small(pretrained=False, **kwargs):
  function mobilenetv2_100 (line 775) | def mobilenetv2_100(pretrained=False, **kwargs):
  function mobilenetv2_140 (line 781) | def mobilenetv2_140(pretrained=False, **kwargs):
  function mobilenetv2_110d (line 787) | def mobilenetv2_110d(pretrained=False, **kwargs):
  function mobilenetv2_120d (line 794) | def mobilenetv2_120d(pretrained=False, **kwargs):
  function fbnetc_100 (line 801) | def fbnetc_100(pretrained=False, **kwargs):
  function spnasnet_100 (line 810) | def spnasnet_100(pretrained=False, **kwargs):
  function efficientnet_b0 (line 816) | def efficientnet_b0(pretrained=False, **kwargs):
  function efficientnet_b1 (line 824) | def efficientnet_b1(pretrained=False, **kwargs):
  function efficientnet_b2 (line 832) | def efficientnet_b2(pretrained=False, **kwargs):
  function efficientnet_b3 (line 840) | def efficientnet_b3(pretrained=False, **kwargs):
  function efficientnet_b4 (line 848) | def efficientnet_b4(pretrained=False, **kwargs):
  function efficientnet_b5 (line 856) | def efficientnet_b5(pretrained=False, **kwargs):
  function efficientnet_b6 (line 864) | def efficientnet_b6(pretrained=False, **kwargs):
  function efficientnet_b7 (line 872) | def efficientnet_b7(pretrained=False, **kwargs):
  function efficientnet_b8 (line 880) | def efficientnet_b8(pretrained=False, **kwargs):
  function efficientnet_l2 (line 888) | def efficientnet_l2(pretrained=False, **kwargs):
  function efficientnet_es (line 896) | def efficientnet_es(pretrained=False, **kwargs):
  function efficientnet_em (line 903) | def efficientnet_em(pretrained=False, **kwargs):
  function efficientnet_el (line 910) | def efficientnet_el(pretrained=False, **kwargs):
  function efficientnet_cc_b0_4e (line 917) | def efficientnet_cc_b0_4e(pretrained=False, **kwargs):
  function efficientnet_cc_b0_8e (line 925) | def efficientnet_cc_b0_8e(pretrained=False, **kwargs):
  function efficientnet_cc_b1_8e (line 934) | def efficientnet_cc_b1_8e(pretrained=False, **kwargs):
  function efficientnet_lite0 (line 943) | def efficientnet_lite0(pretrained=False, **kwargs):
  function efficientnet_lite1 (line 950) | def efficientnet_lite1(pretrained=False, **kwargs):
  function efficientnet_lite2 (line 957) | def efficientnet_lite2(pretrained=False, **kwargs):
  function efficientnet_lite3 (line 964) | def efficientnet_lite3(pretrained=False, **kwargs):
  function efficientnet_lite4 (line 971) | def efficientnet_lite4(pretrained=False, **kwargs):
  function tf_efficientnet_b0 (line 978) | def tf_efficientnet_b0(pretrained=False, **kwargs):
  function tf_efficientnet_b1 (line 987) | def tf_efficientnet_b1(pretrained=False, **kwargs):
  function tf_efficientnet_b2 (line 996) | def tf_efficientnet_b2(pretrained=False, **kwargs):
  function tf_efficientnet_b3 (line 1005) | def tf_efficientnet_b3(pretrained=False, **kwargs):
  function tf_efficientnet_b4 (line 1014) | def tf_efficientnet_b4(pretrained=False, **kwargs):
  function tf_efficientnet_b5 (line 1023) | def tf_efficientnet_b5(pretrained=False, **kwargs):
  function tf_efficientnet_b6 (line 1032) | def tf_efficientnet_b6(pretrained=False, **kwargs):
  function tf_efficientnet_b7 (line 1041) | def tf_efficientnet_b7(pretrained=False, **kwargs):
  function tf_efficientnet_b8 (line 1050) | def tf_efficientnet_b8(pretrained=False, **kwargs):
  function tf_efficientnet_b0_ap (line 1059) | def tf_efficientnet_b0_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b1_ap (line 1070) | def tf_efficientnet_b1_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b2_ap (line 1081) | def tf_efficientnet_b2_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b3_ap (line 1092) | def tf_efficientnet_b3_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b4_ap (line 1103) | def tf_efficientnet_b4_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b5_ap (line 1114) | def tf_efficientnet_b5_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b6_ap (line 1125) | def tf_efficientnet_b6_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b7_ap (line 1137) | def tf_efficientnet_b7_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b8_ap (line 1149) | def tf_efficientnet_b8_ap(pretrained=False, **kwargs):
  function tf_efficientnet_b0_ns (line 1161) | def tf_efficientnet_b0_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b1_ns (line 1172) | def tf_efficientnet_b1_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b2_ns (line 1183) | def tf_efficientnet_b2_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b3_ns (line 1194) | def tf_efficientnet_b3_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b4_ns (line 1205) | def tf_efficientnet_b4_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b5_ns (line 1216) | def tf_efficientnet_b5_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b6_ns (line 1227) | def tf_efficientnet_b6_ns(pretrained=False, **kwargs):
  function tf_efficientnet_b7_ns (line 1239) | def tf_efficientnet_b7_ns(pretrained=False, **kwargs):
  function tf_efficientnet_l2_ns_475 (line 1251) | def tf_efficientnet_l2_ns_475(pretrained=False, **kwargs):
  function tf_efficientnet_l2_ns (line 1263) | def tf_efficientnet_l2_ns(pretrained=False, **kwargs):
  function tf_efficientnet_es (line 1275) | def tf_efficientnet_es(pretrained=False, **kwargs):
  function tf_efficientnet_em (line 1284) | def tf_efficientnet_em(pretrained=False, **kwargs):
  function tf_efficientnet_el (line 1293) | def tf_efficientnet_el(pretrained=False, **kwargs):
  function tf_efficientnet_cc_b0_4e (line 1302) | def tf_efficientnet_cc_b0_4e(pretrained=False, **kwargs):
  function tf_efficientnet_cc_b0_8e (line 1311) | def tf_efficientnet_cc_b0_8e(pretrained=False, **kwargs):
  function tf_efficientnet_cc_b1_8e (line 1321) | def tf_efficientnet_cc_b1_8e(pretrained=False, **kwargs):
  function tf_efficientnet_lite0 (line 1331) | def tf_efficientnet_lite0(pretrained=False, **kwargs):
  function tf_efficientnet_lite1 (line 1340) | def tf_efficientnet_lite1(pretrained=False, **kwargs):
  function tf_efficientnet_lite2 (line 1349) | def tf_efficientnet_lite2(pretrained=False, **kwargs):
  function tf_efficientnet_lite3 (line 1358) | def tf_efficientnet_lite3(pretrained=False, **kwargs):
  function tf_efficientnet_lite4 (line 1367) | def tf_efficientnet_lite4(pretrained=False, **kwargs):
  function mixnet_s (line 1376) | def mixnet_s(pretrained=False, **kwargs):
  function mixnet_m (line 1385) | def mixnet_m(pretrained=False, **kwargs):
  function mixnet_l (line 1394) | def mixnet_l(pretrained=False, **kwargs):
  function mixnet_xl (line 1403) | def mixnet_xl(pretrained=False, **kwargs):
  function mixnet_xxl (line 1413) | def mixnet_xxl(pretrained=False, **kwargs):
  function tf_mixnet_s (line 1423) | def tf_mixnet_s(pretrained=False, **kwargs):
  function tf_mixnet_m (line 1433) | def tf_mixnet_m(pretrained=False, **kwargs):
  function tf_mixnet_l (line 1443) | def tf_mixnet_l(pretrained=False, **kwargs):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/helpers.py
  function load_checkpoint (line 13) | def load_checkpoint(model, checkpoint_path):
  function load_pretrained (line 34) | def load_pretrained(model, url, filter_fn=None, strict=True):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/mobilenetv3.py
  class MobileNetV3 (line 48) | class MobileNetV3(nn.Module):
    method __init__ (line 57) | def __init__(self, block_args, num_classes=1000, in_chans=3, stem_size...
    method as_sequential (line 86) | def as_sequential(self):
    method features (line 94) | def features(self, x):
    method forward (line 104) | def forward(self, x):
  function _create_model (line 112) | def _create_model(model_kwargs, variant, pretrained=False):
  function _gen_mobilenet_v3_rw (line 122) | def _gen_mobilenet_v3_rw(variant, channel_multiplier=1.0, pretrained=Fal...
  function _gen_mobilenet_v3 (line 171) | def _gen_mobilenet_v3(variant, channel_multiplier=1.0, pretrained=False,...
  function mobilenetv3_rw (line 268) | def mobilenetv3_rw(pretrained=False, **kwargs):
  function mobilenetv3_large_075 (line 280) | def mobilenetv3_large_075(pretrained=False, **kwargs):
  function mobilenetv3_large_100 (line 287) | def mobilenetv3_large_100(pretrained=False, **kwargs):
  function mobilenetv3_large_minimal_100 (line 294) | def mobilenetv3_large_minimal_100(pretrained=False, **kwargs):
  function mobilenetv3_small_075 (line 301) | def mobilenetv3_small_075(pretrained=False, **kwargs):
  function mobilenetv3_small_100 (line 307) | def mobilenetv3_small_100(pretrained=False, **kwargs):
  function mobilenetv3_small_minimal_100 (line 313) | def mobilenetv3_small_minimal_100(pretrained=False, **kwargs):
  function tf_mobilenetv3_large_075 (line 319) | def tf_mobilenetv3_large_075(pretrained=False, **kwargs):
  function tf_mobilenetv3_large_100 (line 327) | def tf_mobilenetv3_large_100(pretrained=False, **kwargs):
  function tf_mobilenetv3_large_minimal_100 (line 335) | def tf_mobilenetv3_large_minimal_100(pretrained=False, **kwargs):
  function tf_mobilenetv3_small_075 (line 343) | def tf_mobilenetv3_small_075(pretrained=False, **kwargs):
  function tf_mobilenetv3_small_100 (line 351) | def tf_mobilenetv3_small_100(pretrained=False, **kwargs):
  function tf_mobilenetv3_small_minimal_100 (line 359) | def tf_mobilenetv3_small_minimal_100(pretrained=False, **kwargs):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/geffnet/model_factory.py
  function create_model (line 8) | def create_model(

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/utils.py
  class AverageMeter (line 4) | class AverageMeter:
    method __init__ (line 6) | def __init__(self):
    method reset (line 9) | def reset(self):
    method update (line 15) | def update(self, val, n=1):
  function accuracy (line 22) | def accuracy(output, target, topk=(1,)):
  function get_outdir (line 38) | def get_outdir(path, *paths, inc=False):

FILE: modules/control/proc/normalbae/nets/submodules/efficientnet_repo/validate.py
  function main (line 66) | def main():

FILE: modules/control/proc/normalbae/nets/submodules/encoder.py
  class Encoder (line 6) | class Encoder(nn.Module):
    method __init__ (line 7) | def __init__(self):
    method forward (line 20) | def forward(self, x):

FILE: modules/control/proc/normalbae/nets/submodules/submodules.py
  class UpSampleBN (line 10) | class UpSampleBN(nn.Module):
    method __init__ (line 11) | def __init__(self, skip_input, output_features):
    method forward (line 21) | def forward(self, x, concat_with):
  class UpSampleGN (line 28) | class UpSampleGN(nn.Module):
    method __init__ (line 29) | def __init__(self, skip_input, output_features):
    method forward (line 39) | def forward(self, x, concat_with):
  class Conv2d (line 46) | class Conv2d(nn.Conv2d):
    method __init__ (line 47) | def __init__(self, in_channels, out_channels, kernel_size, stride=1,
    method forward (line 52) | def forward(self, x):
  function norm_normalize (line 64) | def norm_normalize(norm_out):
  function sample_points (line 74) | def sample_points(init_normal, gt_norm_mask, sampling_ratio, beta):

FILE: modules/control/proc/openpose/__init__.py
  class PoseResult (line 29) | class PoseResult(NamedTuple):
  function draw_poses (line 35) | def draw_poses(poses: List[PoseResult], H, W, draw_body=True, draw_hand=...
  class OpenposeDetector (line 66) | class OpenposeDetector:
    method __init__ (line 73) | def __init__(self, body_estimation, hand_estimation=None, face_estimat...
    method from_pretrained (line 79) | def from_pretrained(cls, pretrained_model_or_path, filename=None, hand...
    method to (line 109) | def to(self, device):
    method detect_hands (line 115) | def detect_hands(self, body: BodyResult, oriImg) -> Tuple[Union[HandRe...
    method detect_face (line 137) | def detect_face(self, body: BodyResult, oriImg) -> Union[FaceResult, N...
    method detect_poses (line 156) | def detect_poses(self, oriImg, include_hand=False, include_face=False)...
    method __call__ (line 194) | def __call__(self, input_image, detect_resolution=512, image_resolutio...

FILE: modules/control/proc/openpose/body.py
  class Keypoint (line 10) | class Keypoint(NamedTuple):
  class BodyResult (line 17) | class BodyResult(NamedTuple):
  class Body (line 28) | class Body(object):
    method __init__ (line 29) | def __init__(self, model_path):
    method to (line 35) | def to(self, device):
    method __call__ (line 39) | def __call__(self, oriImg):
    method format_body_result (line 224) | def format_body_result(candidate: np.ndarray, subset: np.ndarray) -> L...

FILE: modules/control/proc/openpose/face.py
  class FaceNet (line 10) | class FaceNet(Module):
    method __init__ (line 12) | def __init__(self):
    method forward (line 189) | def forward(self, x):
  class Face (line 303) | class Face(object):
    method __init__ (line 314) | def __init__(self, face_model_path,
    method to (line 325) | def to(self, device):
    method __call__ (line 329) | def __call__(self, face_img):
    method compute_peaks_from_heatmaps (line 345) | def compute_peaks_from_heatmaps(self, heatmaps):

FILE: modules/control/proc/openpose/hand.py
  class Hand (line 11) | class Hand(object):
    method __init__ (line 12) | def __init__(self, model_path):
    method to (line 18) | def to(self, device):
    method __call__ (line 22) | def __call__(self, oriImgRaw):

FILE: modules/control/proc/openpose/model.py
  function make_layers (line 5) | def make_layers(block, no_relu_layers):
  class bodypose_model (line 22) | class bodypose_model(nn.Module):
    method __init__ (line 23) | def __init__(self):
    method forward (line 112) | def forward(self, x):
  class handpose_model (line 141) | class handpose_model(nn.Module):
    method __init__ (line 142) | def __init__(self):
    method forward (line 202) | def forward(self, x):

FILE: modules/control/proc/openpose/util.py
  function smart_resize (line 10) | def smart_resize(x, s):
  function smart_resize_k (line 24) | def smart_resize_k(x, fx, fy):
  function padRightDownCorner (line 38) | def padRightDownCorner(img, stride, padValue):
  function transfer (line 61) | def transfer(model, model_weights):
  function draw_bodypose (line 68) | def draw_bodypose(canvas: np.ndarray, keypoints: List[Keypoint]) -> np.n...
  function draw_handpose (line 125) | def draw_handpose(canvas: np.ndarray, keypoints: Union[List[Keypoint], N...
  function draw_facepose (line 171) | def draw_facepose(canvas: np.ndarray, keypoints: Union[List[Keypoint], N...
  function handDetect (line 201) | def handDetect(body: BodyResult, oriImg) -> List[Tuple[int, int, int, bo...
  function faceDetect (line 299) | def faceDetect(body: BodyResult, oriImg) -> Union[Tuple[int, int, int], ...
  function npmax (line 381) | def npmax(array):

FILE: modules/control/proc/pidi.py
  class PidiNetDetector (line 14) | class PidiNetDetector:
    method __init__ (line 15) | def __init__(self, model):
    method from_pretrained (line 19) | def from_pretrained(cls, pretrained_model_or_path, filename=None, cach...
    method to (line 30) | def to(self, device):
    method __call__ (line 34) | def __call__(self, input_image, detect_resolution=512, image_resolutio...

FILE: modules/control/proc/pidi_model.py
  function img2tensor (line 15) | def img2tensor(imgs, bgr2rgb=True, float32=True):
  function createConvFunc (line 298) | def createConvFunc(op_type):
  class Conv2d (line 349) | class Conv2d(nn.Module):
    method __init__ (line 350) | def __init__(self, pdc, in_channels, out_channels, kernel_size, stride...
    method reset_parameters (line 371) | def reset_parameters(self):
    method forward (line 378) | def forward(self, input):
  class CSAM (line 382) | class CSAM(nn.Module):
    method __init__ (line 386) | def __init__(self, channels):
    method forward (line 396) | def forward(self, x):
  class CDCM (line 404) | class CDCM(nn.Module):
    method __init__ (line 408) | def __init__(self, in_channels, out_channels):
    method forward (line 419) | def forward(self, x):
  class MapReduce (line 429) | class MapReduce(nn.Module):
    method __init__ (line 433) | def __init__(self, channels):
    method forward (line 438) | def forward(self, x):
  class PDCBlock (line 442) | class PDCBlock(nn.Module):
    method __init__ (line 443) | def __init__(self, pdc, inplane, ouplane, stride=1):
    method forward (line 455) | def forward(self, x):
  class PDCBlock_converted (line 466) | class PDCBlock_converted(nn.Module):
    method __init__ (line 471) | def __init__(self, pdc, inplane, ouplane, stride=1):
    method forward (line 485) | def forward(self, x):
  class PiDiNet (line 496) | class PiDiNet(nn.Module):
    method __init__ (line 497) | def __init__(self, inplane, pdcs, dil=None, sa=False, convert=False):
    method get_weights (line 576) | def get_weights(self):
    method forward (line 590) | def forward(self, x):
  function config_model (line 649) | def config_model(model):
  function pidinet (line 664) | def pidinet():

FILE: modules/control/proc/segment_anything/__init__.py
  class SamDetector (line 21) | class SamDetector:
    method __init__ (line 22) | def __init__(self, mask_generator: SamAutomaticMaskGenerator = None):
    method from_pretrained (line 26) | def from_pretrained(cls, model_path, filename, model_type, cache_dir=N...
    method show_anns (line 38) | def show_anns(self, anns):
    method __call__ (line 54) | def __call__(self, input_image: Union[np.ndarray, Image.Image]=None, d...

FILE: modules/control/proc/segment_anything/automatic_mask_generator.py
  class SamAutomaticMaskGenerator (line 33) | class SamAutomaticMaskGenerator:
    method __init__ (line 34) | def __init__(
    method generate (line 128) | def generate(self, image: np.ndarray) -> List[Dict[str, Any]]:
    method _generate_masks (line 188) | def _generate_masks(self, image: np.ndarray) -> MaskData:
    method _process_crop (line 216) | def _process_crop(
    method _process_batch (line 257) | def _process_batch(
    method postprocess_small_regions (line 315) | def postprocess_small_regions(

FILE: modules/control/proc/segment_anything/build_sam.py
  function build_sam_vit_h (line 14) | def build_sam_vit_h(checkpoint=None):
  function build_sam_vit_l (line 27) | def build_sam_vit_l(checkpoint=None):
  function build_sam_vit_b (line 37) | def build_sam_vit_b(checkpoint=None):
  function build_sam_vit_t (line 47) | def build_sam_vit_t(checkpoint=None):
  function _build_sam (line 105) | def _build_sam(

FILE: modules/control/proc/segment_anything/modeling/common.py
  class MLPBlock (line 13) | class MLPBlock(nn.Module):
    method __init__ (line 14) | def __init__(
    method forward (line 25) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  class LayerNorm2d (line 31) | class LayerNorm2d(nn.Module):
    method __init__ (line 32) | def __init__(self, num_channels: int, eps: float = 1e-6) -> None:
    method forward (line 38) | def forward(self, x: torch.Tensor) -> torch.Tensor:

FILE: modules/control/proc/segment_anything/modeling/image_encoder.py
  class ImageEncoderViT (line 17) | class ImageEncoderViT(nn.Module):
    method __init__ (line 18) | def __init__(
    method forward (line 106) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  class Block (line 119) | class Block(nn.Module):
    method __init__ (line 122) | def __init__(
    method forward (line 166) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  class Attention (line 185) | class Attention(nn.Module):
    method __init__ (line 188) | def __init__(
    method forward (line 224) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  function window_partition (line 243) | def window_partition(x: torch.Tensor, window_size: int) -> Tuple[torch.T...
  function window_unpartition (line 267) | def window_unpartition(
  function get_rel_pos (line 292) | def get_rel_pos(q_size: int, k_size: int, rel_pos: torch.Tensor) -> torc...
  function add_decomposed_rel_pos (line 325) | def add_decomposed_rel_pos(
  class PatchEmbed (line 364) | class PatchEmbed(nn.Module):
    method __init__ (line 369) | def __init__(
    method forward (line 391) | def forward(self, x: torch.Tensor) -> torch.Tensor:

FILE: modules/control/proc/segment_anything/modeling/mask_decoder.py
  class MaskDecoder (line 16) | class MaskDecoder(nn.Module):
    method __init__ (line 17) | def __init__(
    method forward (line 71) | def forward(
    method predict_masks (line 112) | def predict_masks(
  class MLP (line 154) | class MLP(nn.Module):
    method __init__ (line 155) | def __init__(
    method forward (line 171) | def forward(self, x):

FILE: modules/control/proc/segment_anything/modeling/prompt_encoder.py
  class PromptEncoder (line 16) | class PromptEncoder(nn.Module):
    method __init__ (line 17) | def __init__(
    method get_dense_pe (line 62) | def get_dense_pe(self) -> torch.Tensor:
    method _embed_points (line 73) | def _embed_points(
    method _embed_boxes (line 93) | def _embed_boxes(self, boxes: torch.Tensor) -> torch.Tensor:
    method _embed_masks (line 102) | def _embed_masks(self, masks: torch.Tensor) -> torch.Tensor:
    method _get_batch_size (line 107) | def _get_batch_size(
    method _get_device (line 125) | def _get_device(self) -> torch.device:
    method forward (line 128) | def forward(
  class PositionEmbeddingRandom (line 171) | class PositionEmbeddingRandom(nn.Module):
    method __init__ (line 176) | def __init__(self, num_pos_feats: int = 64, scale: Optional[float] = N...
    method _pe_encoding (line 185) | def _pe_encoding(self, coords: torch.Tensor) -> torch.Tensor:
    method forward (line 194) | def forward(self, size: Tuple[int, int]) -> torch.Tensor:
    method forward_with_coords (line 207) | def forward_with_coords(

FILE: modules/control/proc/segment_anything/modeling/sam.py
  class Sam (line 19) | class Sam(nn.Module):
    method __init__ (line 23) | def __init__(
    method device (line 55) | def device(self) -> Any:
    method forward (line 58) | def forward(
    method postprocess_masks (line 137) | def postprocess_masks(
    method preprocess (line 168) | def preprocess(self, x: torch.Tensor) -> torch.Tensor:

FILE: modules/control/proc/segment_anything/modeling/tiny_vit_sam.py
  class Conv2d_BN (line 21) | class Conv2d_BN(torch.nn.Sequential):
    method __init__ (line 22) | def __init__(self, a, b, ks=1, stride=1, pad=0, dilation=1,
    method fuse (line 32) | def fuse(self):
  class DropPath (line 45) | class DropPath(TimmDropPath):
    method __init__ (line 46) | def __init__(self, drop_prob=None):
    method __repr__ (line 50) | def __repr__(self):
  class PatchEmbed (line 56) | class PatchEmbed(nn.Module):
    method __init__ (line 57) | def __init__(self, in_chans, embed_dim, resolution, activation):
    method forward (line 72) | def forward(self, x):
  class MBConv (line 76) | class MBConv(nn.Module):
    method __init__ (line 77) | def __init__(self, in_chans, out_chans, expand_ratio,
    method forward (line 98) | def forward(self, x):
  class PatchMerging (line 117) | class PatchMerging(nn.Module):
    method __init__ (line 118) | def __init__(self, input_resolution, dim, out_dim, activation):
    method forward (line 132) | def forward(self, x):
  class ConvLayer (line 149) | class ConvLayer(nn.Module):
    method __init__ (line 150) | def __init__(self, dim, input_resolution, depth,
    method forward (line 177) | def forward(self, x):
  class Mlp (line 188) | class Mlp(nn.Module):
    method __init__ (line 189) | def __init__(self, in_features, hidden_features=None,
    method forward (line 200) | def forward(self, x):
  class Attention (line 211) | class Attention(torch.nn.Module):
    method __init__ (line 212) | def __init__(self, dim, key_dim, num_heads=8,
    method train (line 249) | def train(self, mode=True):
    method forward (line 256) | def forward(self, x):  # x (B,N,C)
  class TinyViTBlock (line 283) | class TinyViTBlock(nn.Module):
    method __init__ (line 299) | def __init__(self, dim, input_resolution, num_heads, window_size=7,
    method forward (line 331) | def forward(self, x):
    method extra_repr (line 374) | def extra_repr(self) -> str:
  class BasicLayer (line 378) | class BasicLayer(nn.Module):
    method __init__ (line 397) | def __init__(self, dim, input_resolution, depth, num_heads, window_size,
    method forward (line 431) | def forward(self, x):
    method extra_repr (line 441) | def extra_repr(self) -> str:
  class LayerNorm2d (line 444) | class LayerNorm2d(nn.Module):
    method __init__ (line 445) | def __init__(self, num_channels: int, eps: float = 1e-6) -> None:
    method forward (line 451) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  class TinyViT (line 457) | class TinyViT(nn.Module):
    method __init__ (line 458) | def __init__(self, img_size=224, in_chans=3, num_classes=1000,
    method set_layer_lr_decay (line 556) | def set_layer_lr_decay(self, layer_lr_decay):
    method _init_weights (line 590) | def _init_weights(self, m):
    method no_weight_decay_keywords (line 600) | def no_weight_decay_keywords(self):
    method forward_features (line 603) | def forward_features(self, x):
    method forward (line 619) | def forward(self, x):
  function register_tiny_vit_model (line 637) | def register_tiny_vit_model(fn):
  function tiny_vit_5m_224 (line 663) | def tiny_vit_5m_224(pretrained=False, num_classes=1000, drop_path_rate=0...
  function tiny_vit_11m_224 (line 675) | def tiny_vit_11m_224(pretrained=False, num_classes=1000, drop_path_rate=...
  function tiny_vit_21m_224 (line 687) | def tiny_vit_21m_224(pretrained=False, num_classes=1000, drop_path_rate=...
  function tiny_vit_21m_384 (line 699) | def tiny_vit_21m_384(pretrained=False, num_classes=1000, drop_path_rate=...
  function tiny_vit_21m_512 (line 712) | def tiny_vit_21m_512(pretrained=False, num_classes=1000, drop_path_rate=...

FILE: modules/control/proc/segment_anything/modeling/transformer.py
  class TwoWayTransformer (line 16) | class TwoWayTransformer(nn.Module):
    method __init__ (line 17) | def __init__(
    method forward (line 62) | def forward(
  class TwoWayAttentionBlock (line 109) | class TwoWayAttentionBlock(nn.Module):
    method __init__ (line 110) | def __init__(
    method forward (line 151) | def forward(
  class Attention (line 185) | class Attention(nn.Module):
    method __init__ (line 191) | def __init__(
    method _separate_heads (line 208) | def _separate_heads(self, x: Tensor, num_heads: int) -> Tensor:
    method _recombine_heads (line 213) | def _recombine_heads(self, x: Tensor) -> Tensor:
    method forward (line 218) | def forward(self, q: Tensor, k: Tensor, v: Tensor) -> Tensor:

FILE: modules/control/proc/segment_anything/predictor.py
  class SamPredictor (line 14) | class SamPredictor:
    method __init__ (line 15) | def __init__(
    method set_image (line 31) | def set_image(
    method set_torch_image (line 59) | def set_torch_image(
    method predict (line 88) | def predict(
    method predict_torch (line 164) | def predict_torch(
    method get_image_embedding (line 240) | def get_image_embedding(self) -> torch.Tensor:
    method device (line 254) | def device(self) -> torch.device:
    method reset_image (line 257) | def reset_image(self) -> None:

FILE: modules/control/proc/segment_anything/utils/amg.py
  class MaskData (line 16) | class MaskData:
    method __init__ (line 22) | def __init__(self, **kwargs) -> None:
    method __setitem__ (line 29) | def __setitem__(self, key: str, item: Any) -> None:
    method __delitem__ (line 35) | def __delitem__(self, key: str) -> None:
    method __getitem__ (line 38) | def __getitem__(self, key: str) -> Any:
    method items (line 41) | def items(self) -> ItemsView[str, Any]:
    method filter (line 44) | def filter(self, keep: torch.Tensor) -> None:
    method cat (line 59) | def cat(self, new_stats: "MaskData") -> None:
    method to_numpy (line 72) | def to_numpy(self) -> None:
  function is_box_near_crop_edge (line 78) | def is_box_near_crop_edge(
  function box_xyxy_to_xywh (line 91) | def box_xyxy_to_xywh(box_xyxy: torch.Tensor) -> torch.Tensor:
  function batch_iterator (line 98) | def batch_iterator(batch_size: int, *args) -> Generator[List[Any], None,...
  function mask_to_rle_pytorch (line 107) | def mask_to_rle_pytorch(tensor: torch.Tensor) -> List[Dict[str, Any]]:
  function rle_to_mask (line 138) | def rle_to_mask(rle: Dict[str, Any]) -> np.ndarray:
  function area_from_rle (line 152) | def area_from_rle(rle: Dict[str, Any]) -> int:
  function calculate_stability_score (line 156) | def calculate_stability_score(
  function build_point_grid (line 179) | def build_point_grid(n_per_side: int) -> np.ndarray:
  function build_all_layer_point_grids (line 189) | def build_all_layer_point_grids(
  function generate_crop_boxes (line 200) | def generate_crop_boxes(
  function uncrop_boxes_xyxy (line 237) | def uncrop_boxes_xyxy(boxes: torch.Tensor, crop_box: List[int]) -> torch...
  function uncrop_points (line 246) | def uncrop_points(points: torch.Tensor, crop_box: List[int]) -> torch.Te...
  function uncrop_masks (line 255) | def uncrop_masks(
  function remove_small_regions (line 267) | def remove_small_regions(
  function coco_encode_rle (line 294) | def coco_encode_rle(uncompressed_rle: Dict[str, Any]) -> Dict[str, Any]:
  function batched_mask_to_box (line 303) | def batched_mask_to_box(masks: torch.Tensor) -> torch.Tensor:

FILE: modules/control/proc/segment_anything/utils/onnx.py
  class SamOnnxModel (line 17) | class SamOnnxModel(nn.Module):
    method __init__ (line 25) | def __init__(
    method resize_longest_image_size (line 42) | def resize_longest_image_size(
    method _embed_points (line 51) | def _embed_points(self, point_coords: torch.Tensor, point_labels: torc...
    method _embed_masks (line 69) | def _embed_masks(self, input_mask: torch.Tensor, has_mask_input: torch...
    method mask_postprocessing (line 76) | def mask_postprocessing(self, masks: torch.Tensor, orig_im_size: torch...
    method select_masks (line 92) | def select_masks(
    method forward (line 107) | def forward(

FILE: modules/control/proc/segment_anything/utils/transforms.py
  class ResizeLongestSide (line 16) | class ResizeLongestSide:
    method __init__ (line 23) | def __init__(self, target_length: int) -> None:
    method apply_image (line 26) | def apply_image(self, image: np.ndarray) -> np.ndarray:
    method apply_coords (line 33) | def apply_coords(self, coords: np.ndarray, original_size: Tuple[int, ....
    method apply_boxes (line 47) | def apply_boxes(self, 

[
  {
    "path": ".dockerignore",
    "chars": 324,
    "preview": "# defaults\n.history\n.vscode/\n/__pycache__\n/.ruff_cache\n/cache\n/cache.json\n/config.json\n/extensions/*\n/html/extensions.js"
  },
  {
    "path": ".gitignore",
    "chars": 857,
    "preview": "# defaults\nvenv/\n__pycache__\n.ruff_cache\n/*.json\n/*.yaml\n/params.txt\n/styles.csv\n/user.css\n/webui-user.bat\n/webui-user.s"
  },
  {
    "path": ".gitmodules",
    "chars": 959,
    "preview": "[submodule \"wiki\"]\n  path = wiki\n  url = https://github.com/vladmandic/sdnext.wiki\n  ignore = dirty\n[submodule \"extensio"
  },
  {
    "path": ".pylintrc",
    "chars": 7794,
    "preview": "[MAIN]\nanalyse-fallback-blocks=no\nclear-cache-post-run=no\nextension-pkg-allow-list=\nprefer-stubs=yes\nextension-pkg-white"
  },
  {
    "path": ".ruff.toml",
    "chars": 2654,
    "preview": "line-length = 250\nindent-width = 4\ntarget-version = \"py310\"\nexclude = [\n    \"venv\",\n    \".git\",\n    \".ruff_cache\",\n    \""
  },
  {
    "path": "CHANGELOG.md",
    "chars": 370037,
    "preview": "# Change Log for SD.Next\n\n## Update for 2026-02-07\n\n- **Upscalers**\n  - add support for [spandrel](https://github.com/ch"
  },
  {
    "path": "CITATION.cff",
    "chars": 789,
    "preview": "cff-version: 1.2.0\ntitle: SD.Next\nurl: 'https://github.com/vladmandic/sdnext'\nmessage: >-\n  If you use this software, pl"
  },
  {
    "path": "CODE_OF_CONDUCT",
    "chars": 924,
    "preview": "# Code of Conduct\n\nUse your best judgement\nIf it will possibly make others uncomfortable, do not post it\n\n- Be respectfu"
  },
  {
    "path": "CONTRIBUTING",
    "chars": 1138,
    "preview": "# Contributing Guidelines\n\nPull requests from everyone are welcome\n\nProcedure for contributing:\n\n- Select SD.Next `dev` "
  },
  {
    "path": "README.md",
    "chars": 6522,
    "preview": "<div align=\"center\">\n<img src=\"https://github.com/vladmandic/sdnext/raw/master/html/logo-transparent.png\" width=200 alt="
  },
  {
    "path": "SECURITY.md",
    "chars": 1231,
    "preview": "# Security & Privacy Policy\n\n<br>\n\n## Issues\n\nAll issues are tracked publicly on GitHub: <https://github.com/vladmandic/"
  },
  {
    "path": "TODO.md",
    "chars": 11404,
    "preview": "# TODO\n\n## Internal\n\n- Update: `transformers==5.0.0`, owner @CalamitousFelicitousness\n- Deploy: Create executable for SD"
  },
  {
    "path": "cli/api-checkpoint.py",
    "chars": 1133,
    "preview": "#!/usr/bin/env python\nimport os\nimport logging\nimport requests\nimport urllib3\n\n\nsd_url = os.environ.get('SDAPI_URL', \"ht"
  },
  {
    "path": "cli/api-control.py",
    "chars": 7028,
    "preview": "#!/usr/bin/env python\n# example: api-control.py --prompt \"anime girl\" --control \"Canny:Canny:1.0:0.1:0.9:/home/vlado/gen"
  },
  {
    "path": "cli/api-detect.py",
    "chars": 1901,
    "preview": "#!/usr/bin/env python\nimport os\nimport io\nimport base64\nimport logging\nimport argparse\nimport requests\nimport urllib3\nfr"
  },
  {
    "path": "cli/api-enhance.py",
    "chars": 2668,
    "preview": "#!/usr/bin/env python\nimport os\nimport io\nimport base64\nimport logging\nimport argparse\nimport requests\nimport urllib3\nfr"
  },
  {
    "path": "cli/api-faceid.py",
    "chars": 3641,
    "preview": "#!/usr/bin/env python\nimport os\nimport io\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimpor"
  },
  {
    "path": "cli/api-grid.py",
    "chars": 8253,
    "preview": "#!/usr/bin/env python\nfrom dataclasses import dataclass\nimport io\nimport os\nimport time\nimport math\nimport base64\nimport"
  },
  {
    "path": "cli/api-history.py",
    "chars": 876,
    "preview": "#!/usr/bin/env python\n\n\"\"\"\nget list of all history jobs or a specific job\n\"\"\"\n\nimport sys\nimport logging\nimport urllib3\n"
  },
  {
    "path": "cli/api-img2img.py",
    "chars": 3584,
    "preview": "#!/usr/bin/env python\nimport os\nimport io\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimpor"
  },
  {
    "path": "cli/api-info.py",
    "chars": 1762,
    "preview": "#!/usr/bin/env python\nimport os\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimport urllib3\n"
  },
  {
    "path": "cli/api-interrogate.py",
    "chars": 3496,
    "preview": "#!/usr/bin/env python\n\"\"\"\nuse clip to interrogate image(s)\n\"\"\"\n\nimport io\nimport base64\nimport sys\nimport os\nimport asyn"
  },
  {
    "path": "cli/api-json.py",
    "chars": 1737,
    "preview": "#!/usr/bin/env python\n\n# curl -vX POST http://localhost:7860/sdapi/v1/txt2img --header \"Content-Type: application/json\" "
  },
  {
    "path": "cli/api-mask.py",
    "chars": 2716,
    "preview": "#!/usr/bin/env python\nimport io\nimport os\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimpor"
  },
  {
    "path": "cli/api-model.js",
    "chars": 991,
    "preview": "#!/usr/bin/env node\n\nconst sd_url = process.env.SDAPI_URL || 'http://127.0.0.1:7860';\nconst sd_username = process.env.SD"
  },
  {
    "path": "cli/api-preprocess.py",
    "chars": 2478,
    "preview": "#!/usr/bin/env python\nimport io\nimport os\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimpor"
  },
  {
    "path": "cli/api-progress.py",
    "chars": 2959,
    "preview": "#!/usr/bin/env python\n\n\"\"\"\ncheck progress of last job and shutdown system if timeout reached\n\"\"\"\n\nimport os\nimport time\n"
  },
  {
    "path": "cli/api-pulid.js",
    "chars": 2914,
    "preview": "#!/usr/bin/env node\n\n// simple nodejs script to test sdnext api\n\nconst fs = require('node:fs');\nconst path = require('no"
  },
  {
    "path": "cli/api-samplers.py",
    "chars": 952,
    "preview": "#!/usr/bin/env python\n\n\"\"\"\nget list of all samplers and details of current sampler\n\"\"\"\n\nimport sys\nimport logging\nimport"
  },
  {
    "path": "cli/api-txt2img.js",
    "chars": 1490,
    "preview": "#!/usr/bin/env node\n\n// simple nodejs script to test sdnext api\n\nconst fs = require('node:fs');\n\nconst sd_url = process."
  },
  {
    "path": "cli/api-txt2img.py",
    "chars": 3468,
    "preview": "#!/usr/bin/env python\nimport io\nimport os\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimpor"
  },
  {
    "path": "cli/api-upscale.py",
    "chars": 3000,
    "preview": "#!/usr/bin/env python\nimport os\nimport io\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimpor"
  },
  {
    "path": "cli/api-vqa.py",
    "chars": 2046,
    "preview": "#!/usr/bin/env python\nimport os\nimport time\nimport base64\nimport logging\nimport argparse\nimport requests\nimport urllib3\n"
  },
  {
    "path": "cli/api-xyz.py",
    "chars": 4301,
    "preview": "#!/usr/bin/env python\n# example: api-control.py --prompt \"anime girl\" --control \"Canny:Canny:1.0:0.1:0.9:/home/vlado/gen"
  },
  {
    "path": "cli/api-xyzenum.py",
    "chars": 1258,
    "preview": "#!/usr/bin/env python\nimport os\nimport logging\nimport requests\nimport urllib3\n\n\nsd_url = os.environ.get('SDAPI_URL', \"ht"
  },
  {
    "path": "cli/civitai-search.py",
    "chars": 7943,
    "preview": "#!/usr/bin/env python\nfrom dataclasses import dataclass\nimport os\nimport sys\nimport json\nimport time\nimport logging\n\n\nfu"
  },
  {
    "path": "cli/download-file.py",
    "chars": 5430,
    "preview": "#!/usr/bin/env python\nimport os\nimport time\nimport argparse\nimport tempfile\nimport urllib\nimport requests\nimport urllib3"
  },
  {
    "path": "cli/full-test.sh",
    "chars": 1314,
    "preview": "#!/usr/bin/env bash\n\nnode cli/api-txt2img.js\nnode cli/api-pulid.js\n\nsource venv/bin/activate\necho image-exif\npython cli/"
  },
  {
    "path": "cli/gen-styles.py",
    "chars": 2843,
    "preview": "#!/bin/env python\n\nimport io\nimport json\nimport base64\nimport argparse\nimport requests\nfrom PIL import Image\n\n\noptions ="
  },
  {
    "path": "cli/generate-random.json",
    "chars": 1860,
    "preview": "{\n  \"prompts\": [\n    \"<style> of <embedding> <place>, high detailed, by <artist>, <suffix>\"\n  ],\n  \"negative\": [\n    \"wa"
  },
  {
    "path": "cli/generate.json",
    "chars": 958,
    "preview": "{\n  \"paths\":\n  {\n      \"root\": \"/mnt/c/Users/mandi/OneDrive/Generative/Generate\",\n      \"generate\": \"image\",\n      \"upsc"
  },
  {
    "path": "cli/generate.py",
    "chars": 19077,
    "preview": "#!/usr/bin/env python\n# pylint: disable=no-member\n\"\"\"generate batches of images from prompts and upscale them\n\nparams: r"
  },
  {
    "path": "cli/git-clone.py",
    "chars": 3368,
    "preview": "#!/usr/bin/env python\nimport os\nimport logging\nimport git\nfrom rich import console, progress\n\n\nclass GitRemoteProgress(g"
  },
  {
    "path": "cli/hf-search.py",
    "chars": 1075,
    "preview": "#!/usr/bin/env python\n\nimport sys\nimport huggingface_hub as hf\nfrom rich import print # pylint: disable=redefined-builti"
  },
  {
    "path": "cli/image-encode.py",
    "chars": 782,
    "preview": "#!/usr/bin/env python\nimport io\nimport os\nimport sys\nimport base64\nfrom PIL import Image\nfrom rich import print # pylint"
  },
  {
    "path": "cli/image-exif.py",
    "chars": 5133,
    "preview": "#!/bin/env python\n\nimport os\nimport io\nimport re\nimport sys\nimport json\nimport importlib.util\nfrom PIL import Image, Exi"
  },
  {
    "path": "cli/image-grid.py",
    "chars": 5198,
    "preview": "#!/usr/bin/env python\n\"\"\"\nCreate image grid\n\"\"\"\n\nimport os\nimport argparse\nimport math\nimport logging\nfrom pathlib impor"
  },
  {
    "path": "cli/image-palette.py",
    "chars": 5280,
    "preview": "#!/usr/bin/env python\n# based on <https://towardsdatascience.com/image-color-extraction-with-python-in-4-steps-8d9370d92"
  },
  {
    "path": "cli/image-search.py",
    "chars": 11330,
    "preview": "#!/usr/bin/env python\n\nfrom typing import Union\nimport os\nimport re\nimport logging\nfrom tqdm.rich import tqdm\nimport tor"
  },
  {
    "path": "cli/image-watermark.py",
    "chars": 4427,
    "preview": "#!/usr/bin/env python\nimport os\nimport io\nimport pathlib\nimport argparse\nimport filetype\nimport numpy as np\nfrom imwater"
  },
  {
    "path": "cli/install-stablefast.py",
    "chars": 3030,
    "preview": "#!/usr/bin/env python\nimport os\nimport re\nimport sys\n\ntorch_supported = ['211', '212','220','221','222','230']\ncuda_supp"
  },
  {
    "path": "cli/lcm-convert.py",
    "chars": 2422,
    "preview": "#!/usr/bin/env python\nimport os\nimport argparse\nimport torch\nfrom diffusers import StableDiffusionPipeline, StableDiffus"
  },
  {
    "path": "cli/load-unet.py",
    "chars": 4038,
    "preview": "# test for manually loading unet state_dict\n\nimport torch\nimport diffusers\n\n\nclass StateDictStats():\n    cls: str = None"
  },
  {
    "path": "cli/locale-sanitize-override.py",
    "chars": 910,
    "preview": "#!/usr/bin/env python\n\n# Remove the entries that no longer exist in locale from override.\n\nimport sys\nimport json\nfrom r"
  },
  {
    "path": "cli/localize.js",
    "chars": 2698,
    "preview": "#!/usr/bin/env node\n// script used to localize sdnext ui and hints to multiple languages using google gemini ai\n\nconst f"
  },
  {
    "path": "cli/model-keys.py",
    "chars": 3258,
    "preview": "#!/usr/bin/env python\nimport os\nimport sys\nfrom rich import print as pprint\n\n\ndef has(obj, attr, *args):\n    import func"
  },
  {
    "path": "cli/model-metadata.py",
    "chars": 1469,
    "preview": "#!/usr/bin/env python\nimport os\nimport sys\nimport json\nfrom rich import print # pylint: disable=redefined-builtin\n\n\ndef "
  },
  {
    "path": "cli/nvidia-smi.py",
    "chars": 1022,
    "preview": "#!/usr/bin/env python\nimport os\nimport json\nimport shutil\nimport subprocess\nimport xmltodict\nfrom rich import print # py"
  },
  {
    "path": "cli/process.py",
    "chars": 12292,
    "preview": " # pylint: disable=global-statement\nimport os\nimport io\nimport math\nimport base64\nimport numpy as np\nimport mediapipe as"
  },
  {
    "path": "cli/process_options.py",
    "chars": 4643,
    "preview": "from util import Map\n\nembedding = Map({\n    \"id_task\": 0,\n    \"embedding_name\": \"\",\n    \"learn_rate\": -1,\n    \"batch_siz"
  },
  {
    "path": "cli/requirements.txt",
    "chars": 72,
    "preview": "aiohttp\nmediapipe\nextcolors\ncolormap\nfiletype\nalbumentations\nmatplotlib\n"
  },
  {
    "path": "cli/run-benchmark.py",
    "chars": 5245,
    "preview": "#!/usr/bin/env python\n\"\"\"\nsd api txt2img benchmark\n\"\"\"\nimport os\nimport asyncio\nimport base64\nimport io\nimport json\nimpo"
  },
  {
    "path": "cli/sdapi.py",
    "chars": 8051,
    "preview": "#!/usr/bin/env python\n#pylint: disable=redefined-outer-name\n\"\"\"\nhelper methods that creates HTTP session with managed co"
  },
  {
    "path": "cli/search-docs.py",
    "chars": 4732,
    "preview": "#!/usr/bin/env python\nimport os\nimport sys\nimport time\nimport logging\n\n\nlogging.basicConfig(level = logging.INFO, format"
  },
  {
    "path": "cli/test-schedulers.py",
    "chars": 11885,
    "preview": "import os\nimport sys\nimport time\nimport numpy as np\nimport torch\n\n# Ensure we can import modules\nsys.path.append(os.path"
  },
  {
    "path": "cli/test-tagger.py",
    "chars": 35855,
    "preview": "#!/usr/bin/env python\n\"\"\"\nTagger Settings Test Suite\n\nTests all WaifuDiffusion and DeepBooru tagger settings to verify t"
  },
  {
    "path": "cli/test-weighted-lists.py",
    "chars": 3719,
    "preview": "#!/usr/bin/env python\n\nimport sys, os\nfrom collections import Counter\n\nscript_dir = os.path.dirname(os.path.dirname(os.p"
  },
  {
    "path": "cli/util.py",
    "chars": 4119,
    "preview": "#!/usr/bin/env python\n\"\"\"\ngeneric helper methods\n\"\"\"\n\nimport os\nimport string\nimport logging\nimport warnings\n\nlog_format"
  },
  {
    "path": "cli/validate-locale.py",
    "chars": 1606,
    "preview": "#!/usr/bin/env python\n\nimport os\nimport sys\nimport json\nfrom rich import print # pylint: disable=redefined-builtin\n\nif _"
  },
  {
    "path": "cli/video-extract.py",
    "chars": 3391,
    "preview": "#!/usr/bin/env python\n\"\"\"\nuse ffmpeg for animation processing\n\"\"\"\nimport os\nimport json\nimport subprocess\nimport pathlib"
  },
  {
    "path": "cli/zluda-python.py",
    "chars": 1176,
    "preview": "import os\nimport sys\nfrom typing import Dict, Mapping\n\n\nclass Interpreter:\n    env_globals: Dict\n    env_locals: Mapping"
  },
  {
    "path": "configs/Dockerfile.cuda",
    "chars": 2159,
    "preview": "# SD.Next Dockerfile\n# docs: <https://github.com/vladmandic/sdnext/wiki/Docker>\n\n# base image\nFROM pytorch/pytorch:2.8.0"
  },
  {
    "path": "configs/Dockerfile.ipex",
    "chars": 3254,
    "preview": "# SD.Next IPEX Dockerfile\n# docs: <https://github.com/vladmandic/sdnext/wiki/Docker>\n\n# base image\nFROM ubuntu:noble\n\n# "
  },
  {
    "path": "configs/Dockerfile.openvino",
    "chars": 2901,
    "preview": "# SD.Next OpenVINO Dockerfile\n# docs: <https://github.com/vladmandic/sdnext/wiki/Docker>\n\n# base image\nFROM ubuntu:noble"
  },
  {
    "path": "configs/Dockerfile.rocm",
    "chars": 2662,
    "preview": "# SD.Next ROCm Dockerfile\n# docs: <https://github.com/vladmandic/sdnext/wiki/Docker>\n\n# base image\n\n# rocm runtime (3gb)"
  },
  {
    "path": "configs/chroma/model_index.json",
    "chars": 405,
    "preview": "{\n  \"_class_name\": \"ChromaPipeline\",\n  \"_diffusers_version\": \"0.34.0.dev0\",\n  \"scheduler\": [\n    \"diffusers\",\n    \"FlowM"
  },
  {
    "path": "configs/chroma/scheduler/scheduler_config.json",
    "chars": 486,
    "preview": "{\n  \"_class_name\": \"FlowMatchEulerDiscreteScheduler\",\n  \"_diffusers_version\": \"0.34.0.dev0\",\n  \"base_image_seq_len\": 256"
  },
  {
    "path": "configs/chroma/text_encoder/config.json",
    "chars": 784,
    "preview": "{\n  \"_name_or_path\": \"google/t5-v1_1-xxl\",\n    \"architectures\": [\n    \"T5EncoderModel\"\n  ],\n  \"classifier_dropout\": 0.0,"
  },
  {
    "path": "configs/chroma/tokenizer/added_tokens.json",
    "chars": 2593,
    "preview": "{\n  \"<extra_id_0>\": 32099,\n  \"<extra_id_10>\": 32089,\n  \"<extra_id_11>\": 32088,\n  \"<extra_id_12>\": 32087,\n  \"<extra_id_13"
  },
  {
    "path": "configs/chroma/tokenizer/special_tokens_map.json",
    "chars": 2543,
    "preview": "{\n  \"additional_special_tokens\": [\n    \"<extra_id_0>\",\n    \"<extra_id_1>\",\n    \"<extra_id_2>\",\n    \"<extra_id_3>\",\n    \""
  },
  {
    "path": "configs/chroma/tokenizer/tokenizer_config.json",
    "chars": 20817,
    "preview": "{\n  \"add_prefix_space\": true,\n  \"added_tokens_decoder\": {\n    \"0\": {\n      \"content\": \"<pad>\",\n      \"lstrip\": false,\n  "
  },
  {
    "path": "configs/chroma/transformer/config.json",
    "chars": 432,
    "preview": "{\n  \"_class_name\": \"ChromaTransformer2DModel\",\n  \"_diffusers_version\": \"0.34.0.dev0\",\n  \"approximator_hidden_dim\": 5120,"
  },
  {
    "path": "configs/chroma/transformer/diffusion_pytorch_model.safetensors.index.json",
    "chars": 106695,
    "preview": "{\n  \"metadata\": {\n    \"total_size\": 17799966848\n  },\n  \"weight_map\": {\n    \"context_embedder.bias\": \"diffusion_pytorch_m"
  },
  {
    "path": "configs/chroma/vae/config.json",
    "chars": 774,
    "preview": "{\n  \"_class_name\": \"AutoencoderKL\",\n  \"_diffusers_version\": \"0.34.0.dev0\",\n  \"act_fn\": \"silu\",\n  \"block_out_channels\": ["
  },
  {
    "path": "configs/flux/model_index.json",
    "chars": 536,
    "preview": "{\n  \"_class_name\": \"FluxPipeline\",\n  \"_diffusers_version\": \"0.30.0.dev0\",\n  \"scheduler\": [\n    \"diffusers\",\n    \"FlowMat"
  },
  {
    "path": "configs/flux/scheduler/scheduler_config.json",
    "chars": 274,
    "preview": "{\n  \"_class_name\": \"FlowMatchEulerDiscreteScheduler\",\n  \"_diffusers_version\": \"0.30.0.dev0\",\n  \"base_image_seq_len\": 256"
  },
  {
    "path": "configs/flux/text_encoder/config.json",
    "chars": 613,
    "preview": "{\n  \"_name_or_path\": \"openai/clip-vit-large-patch14\",\n  \"architectures\": [\n    \"CLIPTextModel\"\n  ],\n  \"attention_dropout"
  },
  {
    "path": "configs/flux/text_encoder_2/config.json",
    "chars": 782,
    "preview": "{\n  \"_name_or_path\": \"google/t5-v1_1-xxl\",\n  \"architectures\": [\n    \"T5EncoderModel\"\n  ],\n  \"classifier_dropout\": 0.0,\n "
  },
  {
    "path": "configs/flux/text_encoder_2/model.safetensors.index.json",
    "chars": 19885,
    "preview": "{\n  \"metadata\": {\n    \"total_size\": 9524621312\n  },\n  \"weight_map\": {\n    \"encoder.block.0.layer.0.SelfAttention.k.weigh"
  },
  {
    "path": "configs/flux/tokenizer/merges.txt",
    "chars": 515308,
    "preview": "#version: 0.2\ni n\nt h\na n\nr e\na r\ne r\nth e</w>\nin g</w>\no u\no n\ns t\no r\ne n\no n</w>\na l\na t\ne r</w>\ni t\ni n</w>\nt o</w>\n"
  },
  {
    "path": "configs/flux/tokenizer/special_tokens_map.json",
    "chars": 588,
    "preview": "{\n  \"bos_token\": {\n    \"content\": \"<|startoftext|>\",\n    \"lstrip\": false,\n    \"normalized\": true,\n    \"rstrip\": false,\n "
  },
  {
    "path": "configs/flux/tokenizer/tokenizer_config.json",
    "chars": 705,
    "preview": "{\n  \"add_prefix_space\": false,\n  \"added_tokens_decoder\": {\n    \"49406\": {\n      \"content\": \"<|startoftext|>\",\n      \"lst"
  },
  {
    "path": "configs/flux/tokenizer/vocab.json",
    "chars": 1050327,
    "preview": "{\n  \"!\": 0,\n  \"!!\": 1443,\n  \"!!!\": 11194,\n  \"!!!!\": 4003,\n  \"!!!!!!!!\": 11281,\n  \"!!!!!!!!!!!!!!!!\": 30146,\n  \"!!!!!!!!!"
  },
  {
    "path": "configs/flux/tokenizer_2/special_tokens_map.json",
    "chars": 2543,
    "preview": "{\n  \"additional_special_tokens\": [\n    \"<extra_id_0>\",\n    \"<extra_id_1>\",\n    \"<extra_id_2>\",\n    \"<extra_id_3>\",\n    \""
  },
  {
    "path": "configs/flux/tokenizer_2/tokenizer.json",
    "chars": 2377467,
    "preview": "{\n  \"version\": \"1.0\",\n  \"truncation\": null,\n  \"padding\": null,\n  \"added_tokens\": [\n    {\n      \"id\": 0,\n      \"content\":"
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  {
    "path": "configs/flux/tokenizer_2/tokenizer_config.json",
    "chars": 20817,
    "preview": "{\n  \"add_prefix_space\": true,\n  \"added_tokens_decoder\": {\n    \"0\": {\n      \"content\": \"<pad>\",\n      \"lstrip\": false,\n  "
  },
  {
    "path": "configs/flux/transformer/config.json",
    "chars": 321,
    "preview": "{\n  \"_class_name\": \"FluxTransformer2DModel\",\n  \"_diffusers_version\": \"0.30.0.dev0\",\n  \"attention_head_dim\": 128,\n  \"guid"
  },
  {
    "path": "configs/flux/transformer/diffusion_pytorch_model.safetensors.index.json",
    "chars": 120822,
    "preview": "{\n  \"metadata\": {\n    \"total_size\": 23782357120\n  },\n  \"weight_map\": {\n    \"context_embedder.bias\": \"diffusion_pytorch_m"
  },
  {
    "path": "configs/flux/vae/config.json",
    "chars": 775,
    "preview": "{\n  \"_class_name\": \"AutoencoderKL\",\n  \"_diffusers_version\": \"0.30.0.dev0\",\n  \"act_fn\": \"silu\",\n  \"block_out_channels\": ["
  },
  {
    "path": "configs/olive/sd/text_encoder.json",
    "chars": 3679,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"text_enc"
  },
  {
    "path": "configs/olive/sd/unet.json",
    "chars": 4050,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"unet_loa"
  },
  {
    "path": "configs/olive/sd/vae_decoder.json",
    "chars": 3772,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"vae_deco"
  },
  {
    "path": "configs/olive/sd/vae_encoder.json",
    "chars": 3765,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"vae_enco"
  },
  {
    "path": "configs/olive/sdxl/text_encoder.json",
    "chars": 4675,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"text_enc"
  },
  {
    "path": "configs/olive/sdxl/text_encoder_2.json",
    "chars": 6819,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"text_enc"
  },
  {
    "path": "configs/olive/sdxl/unet.json",
    "chars": 3690,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"unet_loa"
  },
  {
    "path": "configs/olive/sdxl/vae_decoder.json",
    "chars": 4190,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"vae_deco"
  },
  {
    "path": "configs/olive/sdxl/vae_encoder.json",
    "chars": 3366,
    "preview": "{\n  \"input_model\": {\n    \"type\": \"PyTorchModel\",\n    \"config\": {\n      \"model_path\": \"\",\n      \"model_loader\": \"vae_enco"
  },
  {
    "path": "configs/playground-v2.5-1024px-aesthetic.fp16_vae.json",
    "chars": 746,
    "preview": "{\n  \"_class_name\": \"AutoencoderKL\",\n  \"_diffusers_version\": \"0.27.0.dev0\",\n  \"act_fn\": \"silu\",\n  \"block_out_channels\": ["
  },
  {
    "path": "configs/sd15/feature_extractor/preprocessor_config.json",
    "chars": 342,
    "preview": "{\n  \"crop_size\": 224,\n  \"do_center_crop\": true,\n  \"do_convert_rgb\": true,\n  \"do_normalize\": true,\n  \"do_resize\": true,\n "
  },
  {
    "path": "configs/sd15/model_index.json",
    "chars": 541,
    "preview": "{\n  \"_class_name\": \"StableDiffusionPipeline\",\n  \"_diffusers_version\": \"0.6.0\",\n  \"feature_extractor\": [\n    \"transformer"
  },
  {
    "path": "configs/sd15/safety_checker/config.json",
    "chars": 4723,
    "preview": "{\n  \"_commit_hash\": \"4bb648a606ef040e7685bde262611766a5fdd67b\",\n  \"_name_or_path\": \"CompVis/stable-diffusion-safety-chec"
  },
  {
    "path": "configs/sd15/scheduler/scheduler_config.json",
    "chars": 308,
    "preview": "{\n  \"_class_name\": \"PNDMScheduler\",\n  \"_diffusers_version\": \"0.6.0\",\n  \"beta_end\": 0.012,\n  \"beta_schedule\": \"scaled_lin"
  },
  {
    "path": "configs/sd15/text_encoder/config.json",
    "chars": 617,
    "preview": "{\n  \"_name_or_path\": \"openai/clip-vit-large-patch14\",\n  \"architectures\": [\n    \"CLIPTextModel\"\n  ],\n  \"attention_dropout"
  },
  {
    "path": "configs/sd15/tokenizer/merges.txt",
    "chars": 515308,
    "preview": "#version: 0.2\ni n\nt h\na n\nr e\na r\ne r\nth e</w>\nin g</w>\no u\no n\ns t\no r\ne n\no n</w>\na l\na t\ne r</w>\ni t\ni n</w>\nt o</w>\n"
  },
  {
    "path": "configs/sd15/tokenizer/special_tokens_map.json",
    "chars": 472,
    "preview": "{\n  \"bos_token\": {\n    \"content\": \"<|startoftext|>\",\n    \"lstrip\": false,\n    \"normalized\": true,\n    \"rstrip\": false,\n "
  },
  {
    "path": "configs/sd15/tokenizer/tokenizer_config.json",
    "chars": 806,
    "preview": "{\n  \"add_prefix_space\": false,\n  \"bos_token\": {\n    \"__type\": \"AddedToken\",\n    \"content\": \"<|startoftext|>\",\n    \"lstri"
  },
  {
    "path": "configs/sd15/tokenizer/vocab.json",
    "chars": 1050327,
    "preview": "{\n  \"!\": 0,\n  \"!!\": 1443,\n  \"!!!\": 11194,\n  \"!!!!\": 4003,\n  \"!!!!!!!!\": 11281,\n  \"!!!!!!!!!!!!!!!!\": 30146,\n  \"!!!!!!!!!"
  },
  {
    "path": "configs/sd15/unet/config.json",
    "chars": 743,
    "preview": "{\n  \"_class_name\": \"UNet2DConditionModel\",\n  \"_diffusers_version\": \"0.6.0\",\n  \"act_fn\": \"silu\",\n  \"attention_head_dim\": "
  },
  {
    "path": "configs/sd15/vae/config.json",
    "chars": 572,
    "preview": "{\n  \"_class_name\": \"AutoencoderKL\",\n  \"_diffusers_version\": \"0.6.0\",\n  \"act_fn\": \"silu\",\n  \"block_out_channels\": [\n    1"
  },
  {
    "path": "configs/sd3/model_index.json",
    "chars": 766,
    "preview": "{\n  \"_class_name\": \"StableDiffusion3Pipeline\",\n  \"_diffusers_version\": \"0.29.0.dev0\",\n  \"_name_or_path\": \"stabilityai/st"
  },
  {
    "path": "configs/sd3/scheduler/scheduler_config.json",
    "chars": 141,
    "preview": "{\n  \"_class_name\": \"FlowMatchEulerDiscreteScheduler\",\n  \"_diffusers_version\": \"0.29.0.dev0\",\n  \"num_train_timesteps\": 10"
  },
  {
    "path": "configs/sd3/text_encoder/config.json",
    "chars": 737,
    "preview": "{\n  \"_name_or_path\": \"/raid/.cache/huggingface/models--stabilityai--stable-diffusion-3-medium/snapshots/84a9ff37a0a30f72"
  },
  {
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// ... and 1102 more files (download for full content)