Full Code of AUTOMATIC1111/stable-diffusion-webui for AI

gitextract_l_rki2tj/

├── .eslintignore
├── .eslintrc.js
├── .git-blame-ignore-revs
├── .github/
│   ├── ISSUE_TEMPLATE/
│   │   ├── bug_report.yml
│   │   ├── config.yml
│   │   └── feature_request.yml
│   ├── pull_request_template.md
│   └── workflows/
│       ├── on_pull_request.yaml
│       ├── run_tests.yaml
│       └── warns_merge_master.yml
├── .gitignore
├── .pylintrc
├── CHANGELOG.md
├── CITATION.cff
├── CODEOWNERS
├── LICENSE.txt
├── README.md
├── _typos.toml
├── configs/
│   ├── alt-diffusion-inference.yaml
│   ├── alt-diffusion-m18-inference.yaml
│   ├── instruct-pix2pix.yaml
│   ├── sd3-inference.yaml
│   ├── sd_xl_inpaint.yaml
│   ├── v1-inference.yaml
│   └── v1-inpainting-inference.yaml
├── environment-wsl2.yaml
├── extensions-builtin/
│   ├── LDSR/
│   │   ├── ldsr_model_arch.py
│   │   ├── preload.py
│   │   ├── scripts/
│   │   │   └── ldsr_model.py
│   │   ├── sd_hijack_autoencoder.py
│   │   ├── sd_hijack_ddpm_v1.py
│   │   └── vqvae_quantize.py
│   ├── Lora/
│   │   ├── extra_networks_lora.py
│   │   ├── lora.py
│   │   ├── lora_logger.py
│   │   ├── lora_patches.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
│   │   ├── preload.py
│   │   ├── scripts/
│   │   │   └── lora_script.py
│   │   ├── ui_edit_user_metadata.py
│   │   └── ui_extra_networks_lora.py
│   ├── ScuNET/
│   │   ├── preload.py
│   │   └── scripts/
│   │       └── scunet_model.py
│   ├── SwinIR/
│   │   ├── preload.py
│   │   └── scripts/
│   │       └── swinir_model.py
│   ├── canvas-zoom-and-pan/
│   │   ├── javascript/
│   │   │   └── zoom.js
│   │   ├── scripts/
│   │   │   └── hotkey_config.py
│   │   └── style.css
│   ├── extra-options-section/
│   │   └── scripts/
│   │       └── extra_options_section.py
│   ├── hypertile/
│   │   ├── hypertile.py
│   │   └── scripts/
│   │       └── hypertile_script.py
│   ├── mobile/
│   │   └── javascript/
│   │       └── mobile.js
│   ├── postprocessing-for-training/
│   │   └── scripts/
│   │       ├── postprocessing_autosized_crop.py
│   │       ├── postprocessing_caption.py
│   │       ├── postprocessing_create_flipped_copies.py
│   │       ├── postprocessing_focal_crop.py
│   │       └── postprocessing_split_oversized.py
│   ├── prompt-bracket-checker/
│   │   └── javascript/
│   │       └── prompt-bracket-checker.js
│   └── soft-inpainting/
│       └── scripts/
│           └── soft_inpainting.py
├── html/
│   ├── extra-networks-card.html
│   ├── extra-networks-copy-path-button.html
│   ├── extra-networks-edit-item-button.html
│   ├── extra-networks-metadata-button.html
│   ├── extra-networks-no-cards.html
│   ├── extra-networks-pane-dirs.html
│   ├── extra-networks-pane-tree.html
│   ├── extra-networks-pane.html
│   ├── extra-networks-tree-button.html
│   ├── footer.html
│   └── licenses.html
├── javascript/
│   ├── aspectRatioOverlay.js
│   ├── contextMenus.js
│   ├── dragdrop.js
│   ├── edit-attention.js
│   ├── edit-order.js
│   ├── extensions.js
│   ├── extraNetworks.js
│   ├── generationParams.js
│   ├── hints.js
│   ├── hires_fix.js
│   ├── imageMaskFix.js
│   ├── imageviewer.js
│   ├── imageviewerGamepad.js
│   ├── inputAccordion.js
│   ├── localStorage.js
│   ├── localization.js
│   ├── notification.js
│   ├── profilerVisualization.js
│   ├── progressbar.js
│   ├── resizeHandle.js
│   ├── settings.js
│   ├── textualInversion.js
│   ├── token-counters.js
│   ├── ui.js
│   └── ui_settings_hints.js
├── launch.py
├── localizations/
│   └── Put localization files here.txt
├── modules/
│   ├── api/
│   │   ├── api.py
│   │   └── models.py
│   ├── cache.py
│   ├── call_queue.py
│   ├── cmd_args.py
│   ├── codeformer_model.py
│   ├── config_states.py
│   ├── dat_model.py
│   ├── deepbooru.py
│   ├── deepbooru_model.py
│   ├── devices.py
│   ├── errors.py
│   ├── esrgan_model.py
│   ├── extensions.py
│   ├── extra_networks.py
│   ├── extra_networks_hypernet.py
│   ├── extras.py
│   ├── face_restoration.py
│   ├── face_restoration_utils.py
│   ├── fifo_lock.py
│   ├── gfpgan_model.py
│   ├── gitpython_hack.py
│   ├── gradio_extensons.py
│   ├── hashes.py
│   ├── hat_model.py
│   ├── hypernetworks/
│   │   ├── hypernetwork.py
│   │   └── ui.py
│   ├── images.py
│   ├── img2img.py
│   ├── import_hook.py
│   ├── infotext_utils.py
│   ├── infotext_versions.py
│   ├── initialize.py
│   ├── initialize_util.py
│   ├── interrogate.py
│   ├── launch_utils.py
│   ├── localization.py
│   ├── logging_config.py
│   ├── lowvram.py
│   ├── mac_specific.py
│   ├── masking.py
│   ├── memmon.py
│   ├── modelloader.py
│   ├── models/
│   │   ├── diffusion/
│   │   │   ├── ddpm_edit.py
│   │   │   └── uni_pc/
│   │   │       ├── __init__.py
│   │   │       ├── sampler.py
│   │   │       └── uni_pc.py
│   │   └── sd3/
│   │       ├── mmdit.py
│   │       ├── other_impls.py
│   │       ├── sd3_cond.py
│   │       ├── sd3_impls.py
│   │       └── sd3_model.py
│   ├── ngrok.py
│   ├── npu_specific.py
│   ├── options.py
│   ├── patches.py
│   ├── paths.py
│   ├── paths_internal.py
│   ├── postprocessing.py
│   ├── processing.py
│   ├── processing_scripts/
│   │   ├── comments.py
│   │   ├── refiner.py
│   │   ├── sampler.py
│   │   └── seed.py
│   ├── profiling.py
│   ├── progress.py
│   ├── prompt_parser.py
│   ├── realesrgan_model.py
│   ├── restart.py
│   ├── rng.py
│   ├── rng_philox.py
│   ├── safe.py
│   ├── script_callbacks.py
│   ├── script_loading.py
│   ├── scripts.py
│   ├── scripts_auto_postprocessing.py
│   ├── scripts_postprocessing.py
│   ├── sd_disable_initialization.py
│   ├── sd_emphasis.py
│   ├── sd_hijack.py
│   ├── sd_hijack_checkpoint.py
│   ├── sd_hijack_clip.py
│   ├── sd_hijack_clip_old.py
│   ├── sd_hijack_ip2p.py
│   ├── sd_hijack_open_clip.py
│   ├── sd_hijack_optimizations.py
│   ├── sd_hijack_unet.py
│   ├── sd_hijack_utils.py
│   ├── sd_hijack_xlmr.py
│   ├── sd_models.py
│   ├── sd_models_config.py
│   ├── sd_models_types.py
│   ├── sd_models_xl.py
│   ├── sd_samplers.py
│   ├── sd_samplers_cfg_denoiser.py
│   ├── sd_samplers_common.py
│   ├── sd_samplers_compvis.py
│   ├── sd_samplers_extra.py
│   ├── sd_samplers_kdiffusion.py
│   ├── sd_samplers_lcm.py
│   ├── sd_samplers_timesteps.py
│   ├── sd_samplers_timesteps_impl.py
│   ├── sd_schedulers.py
│   ├── sd_unet.py
│   ├── sd_vae.py
│   ├── sd_vae_approx.py
│   ├── sd_vae_taesd.py
│   ├── shared.py
│   ├── shared_cmd_options.py
│   ├── shared_gradio_themes.py
│   ├── shared_init.py
│   ├── shared_items.py
│   ├── shared_options.py
│   ├── shared_state.py
│   ├── shared_total_tqdm.py
│   ├── styles.py
│   ├── sub_quadratic_attention.py
│   ├── sysinfo.py
│   ├── textual_inversion/
│   │   ├── autocrop.py
│   │   ├── dataset.py
│   │   ├── image_embedding.py
│   │   ├── learn_schedule.py
│   │   ├── saving_settings.py
│   │   ├── textual_inversion.py
│   │   └── ui.py
│   ├── timer.py
│   ├── torch_utils.py
│   ├── txt2img.py
│   ├── ui.py
│   ├── ui_checkpoint_merger.py
│   ├── ui_common.py
│   ├── ui_components.py
│   ├── ui_extensions.py
│   ├── ui_extra_networks.py
│   ├── ui_extra_networks_checkpoints.py
│   ├── ui_extra_networks_checkpoints_user_metadata.py
│   ├── ui_extra_networks_hypernets.py
│   ├── ui_extra_networks_textual_inversion.py
│   ├── ui_extra_networks_user_metadata.py
│   ├── ui_gradio_extensions.py
│   ├── ui_loadsave.py
│   ├── ui_postprocessing.py
│   ├── ui_prompt_styles.py
│   ├── ui_settings.py
│   ├── ui_tempdir.py
│   ├── ui_toprow.py
│   ├── upscaler.py
│   ├── upscaler_utils.py
│   ├── util.py
│   ├── xlmr.py
│   ├── xlmr_m18.py
│   └── xpu_specific.py
├── package.json
├── pyproject.toml
├── requirements-test.txt
├── requirements.txt
├── requirements_npu.txt
├── requirements_versions.txt
├── script.js
├── scripts/
│   ├── custom_code.py
│   ├── img2imgalt.py
│   ├── loopback.py
│   ├── outpainting_mk_2.py
│   ├── poor_mans_outpainting.py
│   ├── postprocessing_codeformer.py
│   ├── postprocessing_gfpgan.py
│   ├── postprocessing_upscale.py
│   ├── prompt_matrix.py
│   ├── prompts_from_file.py
│   ├── sd_upscale.py
│   └── xyz_grid.py
├── style.css
├── test/
│   ├── __init__.py
│   ├── conftest.py
│   ├── test_extras.py
│   ├── test_face_restorers.py
│   ├── test_files/
│   │   └── empty.pt
│   ├── test_img2img.py
│   ├── test_torch_utils.py
│   ├── test_txt2img.py
│   └── test_utils.py
├── textual_inversion_templates/
│   ├── hypernetwork.txt
│   ├── none.txt
│   ├── style.txt
│   ├── style_filewords.txt
│   ├── subject.txt
│   └── subject_filewords.txt
├── webui-macos-env.sh
├── webui.bat
├── webui.py
└── webui.sh

SYMBOL INDEX (2616 symbols across 230 files)

FILE: extensions-builtin/LDSR/ldsr_model_arch.py
  class LDSR (line 21) | class LDSR:
    method load_model_from_config (line 22) | def load_model_from_config(self, half_attention):
    method __init__ (line 54) | def __init__(self, model_path, yaml_path):
    method run (line 59) | def run(model, selected_path, custom_steps, eta):
    method super_resolution (line 106) | def super_resolution(self, image, steps=100, target_scale=2, half_atte...
  function get_cond (line 157) | def get_cond(selected_path):
  function convsample_ddim (line 176) | def convsample_ddim(model, cond, steps, shape, eta=1.0, callback=None, n...
  function make_convolutional_sample (line 194) | def make_convolutional_sample(batch, model, custom_steps=None, eta=1.0, ...

FILE: extensions-builtin/LDSR/preload.py
  function preload (line 5) | def preload(parser):

FILE: extensions-builtin/LDSR/scripts/ldsr_model.py
  class UpscalerLDSR (line 11) | class UpscalerLDSR(Upscaler):
    method __init__ (line 12) | def __init__(self, user_path):
    method load_model (line 21) | def load_model(self, path: str):
    method do_upscale (line 51) | def do_upscale(self, img, path):
  function on_ui_settings (line 61) | def on_ui_settings():

FILE: extensions-builtin/LDSR/sd_hijack_autoencoder.py
  class VQModel (line 20) | class VQModel(pl.LightningModule):
    method __init__ (line 21) | def __init__(self,
    method ema_scope (line 70) | def ema_scope(self, context=None):
    method init_from_ckpt (line 84) | def init_from_ckpt(self, path, ignore_keys=None):
    method on_train_batch_end (line 99) | def on_train_batch_end(self, *args, **kwargs):
    method encode (line 103) | def encode(self, x):
    method encode_to_prequant (line 109) | def encode_to_prequant(self, x):
    method decode (line 114) | def decode(self, quant):
    method decode_code (line 119) | def decode_code(self, code_b):
    method forward (line 124) | def forward(self, input, return_pred_indices=False):
    method get_input (line 131) | def get_input(self, batch, k):
    method training_step (line 149) | def training_step(self, batch, batch_idx, optimizer_idx):
    method validation_step (line 171) | def validation_step(self, batch, batch_idx):
    method _validation_step (line 177) | def _validation_step(self, batch, batch_idx, suffix=""):
    method configure_optimizers (line 204) | def configure_optimizers(self):
    method get_last_layer (line 237) | def get_last_layer(self):
    method log_images (line 240) | def log_images(self, batch, only_inputs=False, plot_ema=False, **kwargs):
    method to_rgb (line 263) | def to_rgb(self, x):
  class VQModelInterface (line 272) | class VQModelInterface(VQModel):
    method __init__ (line 273) | def __init__(self, embed_dim, *args, **kwargs):
    method encode (line 277) | def encode(self, x):
    method decode (line 282) | def decode(self, h, force_not_quantize=False):

FILE: extensions-builtin/LDSR/sd_hijack_ddpm_v1.py
  function disabled_train (line 33) | def disabled_train(self, mode=True):
  function uniform_on_device (line 39) | def uniform_on_device(r1, r2, shape, device):
  class DDPMV1 (line 43) | class DDPMV1(pl.LightningModule):
    method __init__ (line 45) | def __init__(self,
    method register_schedule (line 116) | def register_schedule(self, given_betas=None, beta_schedule="linear", ...
    method ema_scope (line 171) | def ema_scope(self, context=None):
    method init_from_ckpt (line 185) | def init_from_ckpt(self, path, ignore_keys=None, only_model=False):
    method q_mean_variance (line 203) | def q_mean_variance(self, x_start, t):
    method predict_start_from_noise (line 215) | def predict_start_from_noise(self, x_t, t, noise):
    method q_posterior (line 221) | def q_posterior(self, x_start, x_t, t):
    method p_mean_variance (line 230) | def p_mean_variance(self, x, t, clip_denoised: bool):
    method p_sample (line 243) | def p_sample(self, x, t, clip_denoised=True, repeat_noise=False):
    method p_sample_loop (line 252) | def p_sample_loop(self, shape, return_intermediates=False):
    method sample (line 267) | def sample(self, batch_size=16, return_intermediates=False):
    method q_sample (line 273) | def q_sample(self, x_start, t, noise=None):
    method get_loss (line 278) | def get_loss(self, pred, target, mean=True):
    method p_losses (line 293) | def p_losses(self, x_start, t, noise=None):
    method forward (line 322) | def forward(self, x, *args, **kwargs):
    method get_input (line 328) | def get_input(self, batch, k):
    method shared_step (line 336) | def shared_step(self, batch):
    method training_step (line 341) | def training_step(self, batch, batch_idx):
    method validation_step (line 357) | def validation_step(self, batch, batch_idx):
    method on_train_batch_end (line 365) | def on_train_batch_end(self, *args, **kwargs):
    method _get_rows_from_list (line 369) | def _get_rows_from_list(self, samples):
    method log_images (line 377) | def log_images(self, batch, N=8, n_row=2, sample=True, return_keys=Non...
    method configure_optimizers (line 414) | def configure_optimizers(self):
  class LatentDiffusionV1 (line 423) | class LatentDiffusionV1(DDPMV1):
    method __init__ (line 425) | def __init__(self,
    method make_cond_schedule (line 470) | def make_cond_schedule(self, ):
    method on_train_batch_start (line 477) | def on_train_batch_start(self, batch, batch_idx, dataloader_idx):
    method register_schedule (line 492) | def register_schedule(self,
    method instantiate_first_stage (line 501) | def instantiate_first_stage(self, config):
    method instantiate_cond_stage (line 508) | def instantiate_cond_stage(self, config):
    method _get_denoise_row_from_list (line 529) | def _get_denoise_row_from_list(self, samples, desc='', force_no_decode...
    method get_first_stage_encoding (line 541) | def get_first_stage_encoding(self, encoder_posterior):
    method get_learned_conditioning (line 550) | def get_learned_conditioning(self, c):
    method meshgrid (line 563) | def meshgrid(self, h, w):
    method delta_border (line 570) | def delta_border(self, h, w):
    method get_weighting (line 584) | def get_weighting(self, h, w, Ly, Lx, device):
    method get_fold_unfold (line 600) | def get_fold_unfold(self, x, kernel_size, stride, uf=1, df=1):  # todo...
    method get_input (line 653) | def get_input(self, batch, k, return_first_stage_outputs=False, force_...
    method decode_first_stage (line 705) | def decode_first_stage(self, z, predict_cids=False, force_not_quantize...
    method differentiable_decode_first_stage (line 765) | def differentiable_decode_first_stage(self, z, predict_cids=False, for...
    method encode_first_stage (line 825) | def encode_first_stage(self, x):
    method shared_step (line 864) | def shared_step(self, batch, **kwargs):
    method forward (line 869) | def forward(self, x, c, *args, **kwargs):
    method apply_model (line 880) | def apply_model(self, x_noisy, t, cond, return_ids=False):
    method _predict_eps_from_xstart (line 983) | def _predict_eps_from_xstart(self, x_t, t, pred_xstart):
    method _prior_bpd (line 987) | def _prior_bpd(self, x_start):
    method p_losses (line 1001) | def p_losses(self, x_start, cond, t, noise=None):
    method p_mean_variance (line 1036) | def p_mean_variance(self, x, c, t, clip_denoised: bool, return_codeboo...
    method p_sample (line 1068) | def p_sample(self, x, c, t, clip_denoised=False, repeat_noise=False,
    method progressive_denoising (line 1099) | def progressive_denoising(self, cond, shape, verbose=True, callback=No...
    method p_sample_loop (line 1157) | def p_sample_loop(self, cond, shape, return_intermediates=False,
    method sample (line 1210) | def sample(self, cond, batch_size=16, return_intermediates=False, x_T=...
    method sample_log (line 1228) | def sample_log(self,cond,batch_size,ddim, ddim_steps,**kwargs):
    method log_images (line 1244) | def log_images(self, batch, N=8, n_row=4, sample=True, ddim_steps=200,...
    method configure_optimizers (line 1354) | def configure_optimizers(self):
    method to_rgb (line 1379) | def to_rgb(self, x):
  class DiffusionWrapperV1 (line 1388) | class DiffusionWrapperV1(pl.LightningModule):
    method __init__ (line 1389) | def __init__(self, diff_model_config, conditioning_key):
    method forward (line 1395) | def forward(self, x, t, c_concat: list = None, c_crossattn: list = None):
  class Layout2ImgDiffusionV1 (line 1417) | class Layout2ImgDiffusionV1(LatentDiffusionV1):
    method __init__ (line 1419) | def __init__(self, cond_stage_key, *args, **kwargs):
    method log_images (line 1423) | def log_images(self, batch, N=8, *args, **kwargs):

FILE: extensions-builtin/LDSR/vqvae_quantize.py
  class VectorQuantizer2 (line 30) | class VectorQuantizer2(nn.Module):
    method __init__ (line 39) | def __init__(self, n_e, e_dim, beta, remap=None, unknown_index="random",
    method remap_to_used (line 65) | def remap_to_used(self, inds):
    method unmap_to_all (line 79) | def unmap_to_all(self, inds):
    method forward (line 89) | def forward(self, z, temp=None, rescale_logits=False, return_logits=Fa...
    method get_codebook_entry (line 132) | def get_codebook_entry(self, indices, shape):

FILE: extensions-builtin/Lora/extra_networks_lora.py
  class ExtraNetworkLora (line 5) | class ExtraNetworkLora(extra_networks.ExtraNetwork):
    method __init__ (line 6) | def __init__(self):
    method activate (line 14) | def activate(self, p, params_list):
    method deactivate (line 58) | def deactivate(self, p):

FILE: extensions-builtin/Lora/lora_logger.py
  class ColoredFormatter (line 6) | class ColoredFormatter(logging.Formatter):
    method format (line 16) | def format(self, record):

FILE: extensions-builtin/Lora/lora_patches.py
  class LoraPatches (line 7) | class LoraPatches:
    method __init__ (line 8) | def __init__(self):
    method undo (line 20) | def undo(self):

FILE: extensions-builtin/Lora/lyco_helpers.py
  function make_weight_cp (line 4) | def make_weight_cp(t, wa, wb):
  function rebuild_conventional (line 9) | def rebuild_conventional(up, down, shape, dyn_dim=None):
  function rebuild_cp_decomposition (line 18) | def rebuild_cp_decomposition(up, down, mid):
  function factorization (line 25) | def factorization(dimension: int, factor:int=-1) -> tuple[int, int]:

FILE: extensions-builtin/Lora/network.py
  class SdVersion (line 17) | class SdVersion(enum.Enum):
  class NetworkOnDisk (line 24) | class NetworkOnDisk:
    method __init__ (line 25) | def __init__(self, name, filename):
    method detect_version (line 61) | def detect_version(self):
    method set_hash (line 71) | def set_hash(self, v):
    method read_hash (line 79) | def read_hash(self):
    method get_alias (line 83) | def get_alias(self):
  class Network (line 91) | class Network:  # LoraModule
    method __init__ (line 92) | def __init__(self, name, network_on_disk: NetworkOnDisk):
  class ModuleType (line 106) | class ModuleType:
    method create_module (line 107) | def create_module(self, net: Network, weights: NetworkWeights) -> Netw...
  class NetworkModule (line 111) | class NetworkModule:
    method __init__ (line 112) | def __init__(self, net: Network, weights: NetworkWeights):
    method multiplier (line 161) | def multiplier(self):
    method calc_scale (line 167) | def calc_scale(self):
    method apply_weight_decompose (line 175) | def apply_weight_decompose(self, updown, orig_weight):
    method finalize_updown (line 196) | def finalize_updown(self, updown, orig_weight, output_shape, ex_bias=N...
    method calc_updown (line 218) | def calc_updown(self, target):
    method forward (line 221) | def forward(self, x, y):

FILE: extensions-builtin/Lora/network_full.py
  class ModuleTypeFull (line 4) | class ModuleTypeFull(network.ModuleType):
    method create_module (line 5) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleFull (line 12) | class NetworkModuleFull(network.NetworkModule):
    method __init__ (line 13) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 19) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/network_glora.py
  class ModuleTypeGLora (line 4) | class ModuleTypeGLora(network.ModuleType):
    method create_module (line 5) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleGLora (line 12) | class NetworkModuleGLora(network.NetworkModule):
    method __init__ (line 13) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 24) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/network_hada.py
  class ModuleTypeHada (line 5) | class ModuleTypeHada(network.ModuleType):
    method create_module (line 6) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleHada (line 13) | class NetworkModuleHada(network.NetworkModule):
    method __init__ (line 14) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 29) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/network_ia3.py
  class ModuleTypeIa3 (line 4) | class ModuleTypeIa3(network.ModuleType):
    method create_module (line 5) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleIa3 (line 12) | class NetworkModuleIa3(network.NetworkModule):
    method __init__ (line 13) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 19) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/network_lokr.py
  class ModuleTypeLokr (line 7) | class ModuleTypeLokr(network.ModuleType):
    method create_module (line 8) | def create_module(self, net: network.Network, weights: network.Network...
  function make_kron (line 17) | def make_kron(orig_shape, w1, w2):
  class NetworkModuleLokr (line 24) | class NetworkModuleLokr(network.NetworkModule):
    method __init__ (line 25) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 38) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/network_lora.py
  class ModuleTypeLora (line 9) | class ModuleTypeLora(network.ModuleType):
    method create_module (line 10) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleLora (line 24) | class NetworkModuleLora(network.NetworkModule):
    method __init__ (line 25) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method create_module (line 34) | def create_module(self, weights, key, none_ok=False):
    method calc_updown (line 71) | def calc_updown(self, orig_weight):
    method forward (line 88) | def forward(self, x, y):

FILE: extensions-builtin/Lora/network_norm.py
  class ModuleTypeNorm (line 4) | class ModuleTypeNorm(network.ModuleType):
    method create_module (line 5) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleNorm (line 12) | class NetworkModuleNorm(network.NetworkModule):
    method __init__ (line 13) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 19) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/network_oft.py
  class ModuleTypeOFT (line 6) | class ModuleTypeOFT(network.ModuleType):
    method create_module (line 7) | def create_module(self, net: network.Network, weights: network.Network...
  class NetworkModuleOFT (line 15) | class NetworkModuleOFT(network.NetworkModule):
    method __init__ (line 16) | def __init__(self,  net: network.Network, weights: network.NetworkWeig...
    method calc_updown (line 70) | def calc_updown(self, orig_weight):

FILE: extensions-builtin/Lora/networks.py
  function convert_diffusers_name_to_compvis (line 56) | def convert_diffusers_name_to_compvis(key, is_sd2):
  function assign_network_names_to_compvis_modules (line 122) | def assign_network_names_to_compvis_modules(sd_model):
  class BundledTIHash (line 150) | class BundledTIHash(str):
    method __init__ (line 151) | def __init__(self, hash_str):
    method __str__ (line 154) | def __str__(self):
  function load_network (line 158) | def load_network(name, network_on_disk):
  function purge_networks_from_memory (line 273) | def purge_networks_from_memory():
  function load_networks (line 281) | def load_networks(names, te_multipliers=None, unet_multipliers=None, dyn...
  function allowed_layer_without_weight (line 369) | def allowed_layer_without_weight(layer):
  function store_weights_backup (line 376) | def store_weights_backup(weight):
  function restore_weights_backup (line 383) | def restore_weights_backup(obj, field, weight):
  function network_restore_weights_from_backup (line 391) | def network_restore_weights_from_backup(self: Union[torch.nn.Conv2d, tor...
  function network_apply_weights (line 411) | def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, ...
  function network_forward (line 545) | def network_forward(org_module, input, original_forward):
  function network_reset_cached_weight (line 572) | def network_reset_cached_weight(self: Union[torch.nn.Conv2d, torch.nn.Li...
  function network_Linear_forward (line 578) | def network_Linear_forward(self, input):
  function network_Linear_load_state_dict (line 587) | def network_Linear_load_state_dict(self, *args, **kwargs):
  function network_Conv2d_forward (line 593) | def network_Conv2d_forward(self, input):
  function network_Conv2d_load_state_dict (line 602) | def network_Conv2d_load_state_dict(self, *args, **kwargs):
  function network_GroupNorm_forward (line 608) | def network_GroupNorm_forward(self, input):
  function network_GroupNorm_load_state_dict (line 617) | def network_GroupNorm_load_state_dict(self, *args, **kwargs):
  function network_LayerNorm_forward (line 623) | def network_LayerNorm_forward(self, input):
  function network_LayerNorm_load_state_dict (line 632) | def network_LayerNorm_load_state_dict(self, *args, **kwargs):
  function network_MultiheadAttention_forward (line 638) | def network_MultiheadAttention_forward(self, *args, **kwargs):
  function network_MultiheadAttention_load_state_dict (line 644) | def network_MultiheadAttention_load_state_dict(self, *args, **kwargs):
  function process_network_files (line 650) | def process_network_files(names: list[str] | None = None):
  function update_available_networks_by_names (line 675) | def update_available_networks_by_names(names: list[str]):
  function list_available_networks (line 679) | def list_available_networks():
  function infotext_pasted (line 694) | def infotext_pasted(infotext, params):

FILE: extensions-builtin/Lora/preload.py
  function preload (line 6) | def preload(parser):

FILE: extensions-builtin/Lora/scripts/lora_script.py
  function unload (line 15) | def unload():
  function before_ui (line 19) | def before_ui():
  function create_lora_json (line 53) | def create_lora_json(obj: network.NetworkOnDisk):
  function api_networks (line 62) | def api_networks(_: gr.Blocks, app: FastAPI):
  function infotext_pasted (line 77) | def infotext_pasted(infotext, d):

FILE: extensions-builtin/Lora/ui_edit_user_metadata.py
  function is_non_comma_tagset (line 11) | def is_non_comma_tagset(tags):
  function build_tags (line 21) | def build_tags(metadata):
  class LoraUserMetadataEditor (line 48) | class LoraUserMetadataEditor(ui_extra_networks_user_metadata.UserMetadat...
    method __init__ (line 49) | def __init__(self, ui, tabname, page):
    method save_lora_user_metadata (line 59) | def save_lora_user_metadata(self, name, desc, sd_version, activation_t...
    method get_metadata_table (line 70) | def get_metadata_table(self, name):
    method put_values_into_components (line 117) | def put_values_into_components(self, name):
    method generate_random_prompt (line 138) | def generate_random_prompt(self, name):
    method generate_random_prompt_from_tags (line 145) | def generate_random_prompt_from_tags(self, tags):
    method create_extra_default_items_in_left_column (line 160) | def create_extra_default_items_in_left_column(self):
    method create_editor (line 165) | def create_editor(self):

FILE: extensions-builtin/Lora/ui_extra_networks_lora.py
  class ExtraNetworksPageLora (line 11) | class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage):
    method __init__ (line 12) | def __init__(self):
    method refresh (line 15) | def refresh(self):
    method create_item (line 18) | def create_item(self, name, index=None, enable_filter=True):
    method list_items (line 78) | def list_items(self):
    method allowed_directories_for_previews (line 86) | def allowed_directories_for_previews(self):
    method create_user_metadata_editor (line 89) | def create_user_metadata_editor(self, ui, tabname):

FILE: extensions-builtin/ScuNET/preload.py
  function preload (line 5) | def preload(parser):

FILE: extensions-builtin/ScuNET/scripts/scunet_model.py
  class UpscalerScuNET (line 9) | class UpscalerScuNET(modules.upscaler.Upscaler):
    method __init__ (line 10) | def __init__(self, dirname):
    method do_upscale (line 38) | def do_upscale(self, img: PIL.Image.Image, selected_file):
    method load_model (line 57) | def load_model(self, path: str):
  function on_ui_settings (line 67) | def on_ui_settings():

FILE: extensions-builtin/SwinIR/preload.py
  function preload (line 5) | def preload(parser):

FILE: extensions-builtin/SwinIR/scripts/swinir_model.py
  class UpscalerSwinIR (line 15) | class UpscalerSwinIR(Upscaler):
    method __init__ (line 16) | def __init__(self, dirname):
    method do_upscale (line 35) | def do_upscale(self, img: Image.Image, model_file: str) -> Image.Image:
    method load_model (line 60) | def load_model(self, path, scale=4):
    method _get_device (line 83) | def _get_device(self):
  function on_ui_settings (line 87) | def on_ui_settings():

FILE: extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
  function getActiveTab (line 31) | function getActiveTab(elements, all = false) {
  function getTabId (line 45) | function getTabId(elements) {
  function waitForOpts (line 52) | async function waitForOpts() {
  function hasHorizontalScrollbar (line 62) | function hasHorizontalScrollbar(element) {
  function isModifierKey (line 67) | function isModifierKey(event, key) {
  function isValidHotkey (line 81) | function isValidHotkey(value) {
  function normalizeHotkey (line 92) | function normalizeHotkey(hotkey) {
  function formatHotkeyForDisplay (line 97) | function formatHotkeyForDisplay(hotkey) {
  function createHotkeyConfig (line 102) | function createHotkeyConfig(defaultHotkeysConfig, hotkeysConfigOpts) {
  function disableFunctions (line 153) | function disableFunctions(config, disabledFunctions) {
  function restoreImgRedMask (line 177) | function restoreImgRedMask(elements) {
  function applyZoomAndPan (line 279) | function applyZoomAndPan(elemId, isExtension = true) {

FILE: extensions-builtin/extra-options-section/scripts/extra_options_section.py
  class ExtraOptionsSection (line 8) | class ExtraOptionsSection(scripts.Script):
    method __init__ (line 11) | def __init__(self):
    method title (line 15) | def title(self):
    method show (line 18) | def show(self, is_img2img):
    method ui (line 21) | def ui(self, is_img2img):
    method before_process (line 66) | def before_process(self, p, *args):

FILE: extensions-builtin/hypertile/hypertile.py
  class HypertileParams (line 22) | class HypertileParams:
  function get_divisors (line 192) | def get_divisors(value: int, min_value: int, /, max_options: int = 1) ->...
  function random_divisor (line 205) | def random_divisor(value: int, min_value: int, /, max_options: int = 1) ...
  function set_hypertile_seed (line 217) | def set_hypertile_seed(seed: int) -> None:
  function largest_tile_size_available (line 222) | def largest_tile_size_available(width: int, height: int) -> int:
  function iterative_closest_divisors (line 234) | def iterative_closest_divisors(hw:int, aspect_ratio:float) -> tuple[int,...
  function find_hw_candidates (line 248) | def find_hw_candidates(hw:int, aspect_ratio:float) -> tuple[int, int]:
  function self_attn_forward (line 269) | def self_attn_forward(params: HypertileParams, scale_depth=True) -> Call...
  function hypertile_hook_model (line 318) | def hypertile_hook_model(model: nn.Module, width, height, *, enable=Fals...

FILE: extensions-builtin/hypertile/scripts/hypertile_script.py
  class ScriptHypertile (line 5) | class ScriptHypertile(scripts.Script):
    method title (line 8) | def title(self):
    method show (line 11) | def show(self, is_img2img):
    method process (line 14) | def process(self, p, *args):
    method before_hr (line 21) | def before_hr(self, p, *args):
    method add_infotext (line 36) | def add_infotext(self, p, add_unet_params=False):
  function configure_hypertile (line 57) | def configure_hypertile(width, height, enable_unet=True):
  function on_ui_settings (line 80) | def on_ui_settings():
  function add_axis_options (line 106) | def add_axis_options():

FILE: extensions-builtin/mobile/javascript/mobile.js
  function isMobile (line 3) | function isMobile() {
  function reportWindowSize (line 14) | function reportWindowSize() {

FILE: extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py
  function center_crop (line 7) | def center_crop(image: Image, w: int, h: int):
  function multicrop_pic (line 18) | def multicrop_pic(image: Image, mindim, maxdim, minarea, maxarea, object...
  class ScriptPostprocessingAutosizedCrop (line 29) | class ScriptPostprocessingAutosizedCrop(scripts_postprocessing.ScriptPos...
    method ui (line 33) | def ui(self):
    method process (line 56) | def process(self, pp: scripts_postprocessing.PostprocessedImage, enabl...

FILE: extensions-builtin/postprocessing-for-training/scripts/postprocessing_caption.py
  class ScriptPostprocessingCeption (line 5) | class ScriptPostprocessingCeption(scripts_postprocessing.ScriptPostproce...
    method ui (line 9) | def ui(self):
    method process (line 18) | def process(self, pp: scripts_postprocessing.PostprocessedImage, enabl...

FILE: extensions-builtin/postprocessing-for-training/scripts/postprocessing_create_flipped_copies.py
  class ScriptPostprocessingCreateFlippedCopies (line 7) | class ScriptPostprocessingCreateFlippedCopies(scripts_postprocessing.Scr...
    method ui (line 11) | def ui(self):
    method process (line 21) | def process(self, pp: scripts_postprocessing.PostprocessedImage, enabl...

FILE: extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py
  class ScriptPostprocessingFocalCrop (line 8) | class ScriptPostprocessingFocalCrop(scripts_postprocessing.ScriptPostpro...
    method ui (line 12) | def ui(self):
    method process (line 27) | def process(self, pp: scripts_postprocessing.PostprocessedImage, enabl...

FILE: extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py
  function split_pic (line 7) | def split_pic(image, inverse_xy, width, height, overlap_ratio):
  class ScriptPostprocessingSplitOversized (line 31) | class ScriptPostprocessingSplitOversized(scripts_postprocessing.ScriptPo...
    method ui (line 35) | def ui(self):
    method process (line 47) | def process(self, pp: scripts_postprocessing.PostprocessedImage, enabl...

FILE: extensions-builtin/prompt-bracket-checker/javascript/prompt-bracket-checker.js
  function checkBrackets (line 6) | function checkBrackets(textArea, counterElt) {
  function setupBracketChecking (line 28) | function setupBracketChecking(id_prompt, id_counter) {

FILE: extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
  class SoftInpaintingSettings (line 9) | class SoftInpaintingSettings:
    method __init__ (line 10) | def __init__(self,
    method add_generation_params (line 24) | def add_generation_params(self, dest):
  function processing_uses_inpainting (line 36) | def processing_uses_inpainting(p):
  function latent_blend (line 50) | def latent_blend(settings, a, b, t):
  function get_modified_nmask (line 108) | def get_modified_nmask(settings, nmask, sigma):
  function apply_adaptive_masks (line 127) | def apply_adaptive_masks(
  function apply_masks (line 205) | def apply_masks(
  function weighted_histogram_filter (line 247) | def weighted_histogram_filter(img, kernel, kernel_center, percentile_min...
  function smoothstep (line 373) | def smoothstep(x):
  function smootherstep (line 381) | def smootherstep(x):
  function get_gaussian_kernel (line 389) | def get_gaussian_kernel(stddev_radius=1.0, max_radius=2):
  class Script (line 486) | class Script(scripts.Script):
    method __init__ (line 487) | def __init__(self):
    method title (line 492) | def title(self):
    method show (line 495) | def show(self, is_img2img):
    method ui (line 498) | def ui(self, is_img2img):
    method process (line 661) | def process(self, p, enabled, power, scale, detail_preservation, mask_...
    method on_mask_blend (line 676) | def on_mask_blend(self, p, mba: scripts.MaskBlendArgs, enabled, power,...
    method post_sample (line 696) | def post_sample(self, p, ps: scripts.PostSampleArgs, enabled, power, s...
    method postprocess_maskoverlay (line 745) | def postprocess_maskoverlay(self, p, ppmo: scripts.PostProcessMaskOver...

FILE: javascript/aspectRatioOverlay.js
  function dimensionChange (line 6) | function dimensionChange(e, is_width, is_height) {

FILE: javascript/contextMenus.js
  function showContextMenu (line 10) | function showContextMenu(event, element, menuEntries) {
  function appendContextMenuOption (line 43) | function appendContextMenuOption(targetElementSelector, entryName, entry...
  function removeContextMenuOption (line 62) | function removeContextMenuOption(uid) {
  function addContextMenuEventListener (line 76) | function addContextMenuEventListener() {

FILE: javascript/dragdrop.js
  function isValidImageList (line 3) | function isValidImageList(files) {
  function dropReplaceImage (line 7) | function dropReplaceImage(imgWrap, files) {
  function eventHasFiles (line 51) | function eventHasFiles(e) {
  function isURL (line 59) | function isURL(url) {
  function dragDropTargetIsPrompt (line 68) | function dragDropTargetIsPrompt(target) {

FILE: javascript/edit-attention.js
  function keyupEditAttention (line 1) | function keyupEditAttention(event) {

FILE: javascript/edit-order.js
  function keyupEditOrder (line 3) | function keyupEditOrder(event) {

FILE: javascript/extensions.js
  function extensions_apply (line 2) | function extensions_apply(_disabled_list, _update_list, disable_all) {
  function extensions_check (line 24) | function extensions_check() {
  function install_extension_from_index (line 46) | function install_extension_from_index(button, url) {
  function config_state_confirm_restore (line 57) | function config_state_confirm_restore(_, config_state_name, config_resto...
  function toggle_all_extensions (line 79) | function toggle_all_extensions(event) {
  function toggle_extension (line 85) | function toggle_extension() {

FILE: javascript/extraNetworks.js
  function toggleCss (line 1) | function toggleCss(key, css, enable) {
  function setupExtraNetworksForTab (line 18) | function setupExtraNetworksForTab(tabname) {
  function extraNetworksMovePromptToTab (line 131) | function extraNetworksMovePromptToTab(tabname, id, showPrompt, showNegat...
  function extraNetworksShowControlsForPage (line 157) | function extraNetworksShowControlsForPage(tabname, tabname_full) {
  function extraNetworksUnrelatedTabSelected (line 165) | function extraNetworksUnrelatedTabSelected(tabname) { // called from pyt...
  function extraNetworksTabSelected (line 171) | function extraNetworksTabSelected(tabname, id, showPrompt, showNegativeP...
  function applyExtraNetworkFilter (line 177) | function applyExtraNetworkFilter(tabname_full) {
  function applyExtraNetworkSort (line 188) | function applyExtraNetworkSort(tabname_full) {
  function setupExtraNetworks (line 199) | function setupExtraNetworks() {
  function tryToRemoveExtraNetworkFromPrompt (line 209) | function tryToRemoveExtraNetworkFromPrompt(textarea, text, isNeg) {
  function updatePromptArea (line 248) | function updatePromptArea(text, textArea, isNeg) {
  function cardClicked (line 256) | function cardClicked(tabname, textToAdd, textToAddNegative, allowNegativ...
  function saveCardPreview (line 266) | function saveCardPreview(event, tabname, filename) {
  function extraNetworksSearchButton (line 279) | function extraNetworksSearchButton(tabname, extra_networks_tabname, even...
  function extraNetworksTreeProcessFileClick (line 288) | function extraNetworksTreeProcessFileClick(event, btn, tabname, extra_ne...
  function extraNetworksTreeProcessDirectoryClick (line 301) | function extraNetworksTreeProcessDirectoryClick(event, btn, tabname, ext...
  function extraNetworksTreeOnClick (line 378) | function extraNetworksTreeOnClick(event, tabname, extra_networks_tabname) {
  function extraNetworksControlSortOnClick (line 398) | function extraNetworksControlSortOnClick(event, tabname, extra_networks_...
  function extraNetworksControlSortDirOnClick (line 413) | function extraNetworksControlSortDirOnClick(event, tabname, extra_networ...
  function extraNetworksControlTreeViewOnClick (line 434) | function extraNetworksControlTreeViewOnClick(event, tabname, extra_netwo...
  function extraNetworksControlRefreshOnClick (line 452) | function extraNetworksControlRefreshOnClick(event, tabname, extra_networ...
  function closePopup (line 472) | function closePopup() {
  function popup (line 477) | function popup(contents) {
  function popupId (line 502) | function popupId(id) {
  function extraNetworksFlattenMetadata (line 510) | function extraNetworksFlattenMetadata(obj) {
  function extraNetworksShowMetadata (line 561) | function extraNetworksShowMetadata(text) {
  function requestGet (line 582) | function requestGet(url, data, handler, errorHandler) {
  function extraNetworksCopyCardPath (line 608) | function extraNetworksCopyCardPath(event) {
  function extraNetworksRequestMetadata (line 613) | function extraNetworksRequestMetadata(event, extraPage) {
  function extraNetworksEditUserMetadata (line 633) | function extraNetworksEditUserMetadata(event, tabname, extraPage) {
  function extraNetworksRefreshSingleCard (line 656) | function extraNetworksRefreshSingleCard(page, tabname, name) {
  function scheduleAfterScriptsCallbacks (line 691) | function scheduleAfterScriptsCallbacks() {

FILE: javascript/generationParams.js
  function attachGalleryListeners (line 26) | function attachGalleryListeners(tab_name) {

FILE: javascript/hints.js
  function updateTooltip (line 116) | function updateTooltip(element) {
  function processTooltipCheckNodes (line 152) | function processTooltipCheckNodes() {

FILE: javascript/hires_fix.js
  function onCalcResolutionHires (line 2) | function onCalcResolutionHires(enable, width, height, hr_scale, hr_resiz...

FILE: javascript/imageMaskFix.js
  function imageMaskResize (line 5) | function imageMaskResize() {

FILE: javascript/imageviewer.js
  function closeModal (line 2) | function closeModal() {
  function showModal (line 6) | function showModal(event) {
  function negmod (line 30) | function negmod(n, m) {
  function updateOnBackgroundChange (line 34) | function updateOnBackgroundChange() {
  function modalImageSwitch (line 52) | function modalImageSwitch(offset) {
  function saveImage (line 74) | function saveImage() {
  function modalSaveImage (line 88) | function modalSaveImage(event) {
  function modalNextImage (line 93) | function modalNextImage(event) {
  function modalPrevImage (line 98) | function modalPrevImage(event) {
  function modalKeyHandler (line 103) | function modalKeyHandler(event) {
  function setupImageForLightbox (line 120) | function setupImageForLightbox(e) {
  function modalZoomSet (line 147) | function modalZoomSet(modalImage, enable) {
  function modalZoomToggle (line 151) | function modalZoomToggle(event) {
  function modalLivePreviewToggle (line 157) | function modalLivePreviewToggle(event) {
  function modalTileImageToggle (line 164) | function modalTileImageToggle(event) {

FILE: javascript/imageviewerGamepad.js
  function sleepUntil (line 53) | function sleepUntil(f, timeout) {

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

FILE: javascript/localStorage.js
  function localSet (line 2) | function localSet(k, v) {
  function localGet (line 10) | function localGet(k, def) {
  function localRemove (line 20) | function localRemove(k) {

FILE: javascript/localization.js
  function hasLocalization (line 27) | function hasLocalization() {
  function textNodesUnder (line 31) | function textNodesUnder(el) {
  function canBeTranslated (line 37) | function canBeTranslated(node, text) {
  function getTranslation (line 59) | function getTranslation(text) {
  function processTextNode (line 74) | function processTextNode(node) {
  function processNode (line 85) | function processNode(node) {
  function localizeWholePage (line 110) | function localizeWholePage() {
  function dumpTranslations (line 139) | function dumpTranslations() {
  function download_localization (line 159) | function download_localization() {

FILE: javascript/profilerVisualization.js
  function createRow (line 2) | function createRow(table, cellName, items) {
  function createVisualizationTable (line 36) | function createVisualizationTable(data, cutoff = 0, sort = "") {
  function showProfile (line 167) | function showProfile(path, cutoff = 0.05) {

FILE: javascript/progressbar.js
  function rememberGallerySelection (line 3) | function rememberGallerySelection() {
  function getGallerySelectedIndex (line 7) | function getGallerySelectedIndex() {
  function request (line 11) | function request(url, data, handler, errorHandler) {
  function pad2 (line 34) | function pad2(x) {
  function formatTime (line 38) | function formatTime(secs) {
  function setTitle (line 55) | function setTitle(progress) {
  function randomId (line 68) | function randomId() {
  function requestProgress (line 75) | function requestProgress(id_task, progressbarContainer, gallery, atEnd, ...

FILE: javascript/resizeHandle.js
  function setLeftColGridTemplate (line 20) | function setLeftColGridTemplate(el, width) {
  function displayResizeHandle (line 24) | function displayResizeHandle(parent) {
  function afterResize (line 39) | function afterResize(parent) {
  function setup (line 54) | function setup(parent) {
  function setupAllResizeHandles (line 195) | function setupAllResizeHandles() {

FILE: javascript/settings.js
  function settingsShowAllTabs (line 8) | function settingsShowAllTabs() {
  function settingsShowOneTab (line 16) | function settingsShowOneTab() {

FILE: javascript/textualInversion.js
  function start_training_textual_inversion (line 4) | function start_training_textual_inversion() {

FILE: javascript/token-counters.js
  function update_txt2img_tokens (line 3) | function update_txt2img_tokens(...args) {
  function update_img2img_tokens (line 13) | function update_img2img_tokens(...args) {
  function update_token_counter (line 23) | function update_token_counter(button_id) {
  function recalculatePromptTokens (line 28) | function recalculatePromptTokens(name) {
  function recalculate_prompts_txt2img (line 32) | function recalculate_prompts_txt2img() {
  function recalculate_prompts_img2img (line 39) | function recalculate_prompts_img2img() {
  function setupTokenCounting (line 46) | function setupTokenCounting(id, id_counter, id_button) {
  function toggleTokenCountingVisibility (line 67) | function toggleTokenCountingVisibility(id, id_counter, id_button) {
  function runCodeForTokenCounters (line 74) | function runCodeForTokenCounters(fun) {

FILE: javascript/ui.js
  function set_theme (line 3) | function set_theme(theme) {
  function all_gallery_buttons (line 10) | function all_gallery_buttons() {
  function selected_gallery_button (line 21) | function selected_gallery_button() {
  function selected_gallery_index (line 25) | function selected_gallery_index() {
  function gallery_container_buttons (line 29) | function gallery_container_buttons(gallery_container) {
  function selected_gallery_index_id (line 33) | function selected_gallery_index_id(gallery_container) {
  function extract_image_from_gallery (line 37) | function extract_image_from_gallery(gallery) {
  function switch_to_txt2img (line 57) | function switch_to_txt2img() {
  function switch_to_img2img_tab (line 63) | function switch_to_img2img_tab(no) {
  function switch_to_img2img (line 67) | function switch_to_img2img() {
  function switch_to_sketch (line 72) | function switch_to_sketch() {
  function switch_to_inpaint (line 77) | function switch_to_inpaint() {
  function switch_to_inpaint_sketch (line 82) | function switch_to_inpaint_sketch() {
  function switch_to_extras (line 87) | function switch_to_extras() {
  function get_tab_index (line 93) | function get_tab_index(tabId) {
  function create_tab_index_args (line 103) | function create_tab_index_args(tabId, args) {
  function get_img2img_tab_index (line 109) | function get_img2img_tab_index() {
  function create_submit_args (line 116) | function create_submit_args(args) {
  function setSubmitButtonsVisibility (line 130) | function setSubmitButtonsVisibility(tabname, showInterrupt, showSkip, sh...
  function showSubmitButtons (line 136) | function showSubmitButtons(tabname, show) {
  function showSubmitInterruptingPlaceholder (line 140) | function showSubmitInterruptingPlaceholder(tabname) {
  function showRestoreProgressButton (line 144) | function showRestoreProgressButton(tabname, show) {
  function submit (line 150) | function submit() {
  function submit_txt2img_upscale (line 169) | function submit_txt2img_upscale() {
  function submit_img2img (line 177) | function submit_img2img() {
  function submit_extras (line 197) | function submit_extras() {
  function restoreProgressTxt2img (line 214) | function restoreProgressTxt2img() {
  function restoreProgressImg2img (line 228) | function restoreProgressImg2img() {
  function setupResolutionPasting (line 248) | function setupResolutionPasting(tabname) {
  function modelmerger (line 274) | function modelmerger() {
  function ask_for_style_name (line 284) | function ask_for_style_name(_, prompt_text, negative_prompt_text) {
  function confirm_clear_prompt (line 289) | function confirm_clear_prompt(prompt, negative_prompt) {
  function restart_reload (line 348) | function restart_reload() {
  function updateInput (line 366) | function updateInput(target) {
  function selectCheckpoint (line 374) | function selectCheckpoint(name) {
  function currentImg2imgSourceResolution (line 379) | function currentImg2imgSourceResolution(w, h, scaleBy) {
  function updateImg2imgResizeToTextAfterChangingImage (line 384) | function updateImg2imgResizeToTextAfterChangingImage() {
  function setRandomSeed (line 398) | function setRandomSeed(elem_id) {
  function switchWidthHeight (line 407) | function switchWidthHeight(tabname) {
  function onEdit (line 425) | function onEdit(editId, elem, afterMs, func) {

FILE: javascript/ui_settings_hints.js
  function settingsHintsShowQuicksettings (line 42) | function settingsHintsShowQuicksettings() {

FILE: launch.py
  function main (line 27) | def main():

FILE: modules/api/api.py
  function script_name_to_index (line 36) | def script_name_to_index(name, scripts):
  function validate_sampler_name (line 43) | def validate_sampler_name(name):
  function setUpscalers (line 51) | def setUpscalers(req: dict):
  function verify_url (line 58) | def verify_url(url):
  function decode_base64_to_image (line 77) | def decode_base64_to_image(encoding):
  function encode_pil_to_base64 (line 102) | def encode_pil_to_base64(image):
  function api_middleware (line 135) | def api_middleware(app: FastAPI):
  class Api (line 199) | class Api:
    method __init__ (line 200) | def __init__(self, app: FastAPI, queue_lock: Lock):
    method add_api_route (line 274) | def add_api_route(self, path: str, endpoint, **kwargs):
    method auth (line 279) | def auth(self, credentials: HTTPBasicCredentials = Depends(HTTPBasic())):
    method get_selectable_script (line 286) | def get_selectable_script(self, script_name, script_runner):
    method get_scripts_list (line 294) | def get_scripts_list(self):
    method get_script_info (line 300) | def get_script_info(self):
    method get_script (line 308) | def get_script(self, script_name, script_runner):
    method init_default_script_args (line 315) | def init_default_script_args(self, script_runner):
    method init_script_args (line 335) | def init_script_args(self, request, default_script_args, selectable_sc...
    method apply_infotext (line 363) | def apply_infotext(self, request, tabname, *, script_runner=None, ment...
    method text2imgapi (line 432) | def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcess...
    method img2imgapi (line 492) | def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessi...
    method extras_single_image_api (line 567) | def extras_single_image_api(self, req: models.ExtrasSingleImageRequest):
    method extras_batch_images_api (line 577) | def extras_batch_images_api(self, req: models.ExtrasBatchImagesRequest):
    method pnginfoapi (line 588) | def pnginfoapi(self, req: models.PNGInfoRequest):
    method progressapi (line 602) | def progressapi(self, req: models.ProgressRequest = Depends()):
    method interrogateapi (line 630) | def interrogateapi(self, interrogatereq: models.InterrogateRequest):
    method interruptapi (line 649) | def interruptapi(self):
    method unloadapi (line 654) | def unloadapi(self):
    method reloadapi (line 659) | def reloadapi(self):
    method skip (line 664) | def skip(self):
    method get_config (line 667) | def get_config(self):
    method set_config (line 678) | def set_config(self, req: dict[str, Any]):
    method get_cmd_flags (line 689) | def get_cmd_flags(self):
    method get_samplers (line 692) | def get_samplers(self):
    method get_schedulers (line 695) | def get_schedulers(self):
    method get_upscalers (line 706) | def get_upscalers(self):
    method get_latent_upscale_modes (line 718) | def get_latent_upscale_modes(self):
    method get_sd_models (line 726) | def get_sd_models(self):
    method get_sd_vaes (line 730) | def get_sd_vaes(self):
    method get_hypernetworks (line 734) | def get_hypernetworks(self):
    method get_face_restorers (line 737) | def get_face_restorers(self):
    method get_realesrgan_models (line 740) | def get_realesrgan_models(self):
    method get_prompt_styles (line 743) | def get_prompt_styles(self):
    method get_embeddings (line 751) | def get_embeddings(self):
    method refresh_embeddings (line 771) | def refresh_embeddings(self):
    method refresh_checkpoints (line 775) | def refresh_checkpoints(self):
    method refresh_vae (line 779) | def refresh_vae(self):
    method create_embedding (line 783) | def create_embedding(self, args: dict):
    method create_hypernetwork (line 795) | def create_hypernetwork(self, args: dict):
    method train_embedding (line 805) | def train_embedding(self, args: dict):
    method train_hypernetwork (line 826) | def train_hypernetwork(self, args: dict):
    method get_memory (line 851) | def get_memory(self):
    method get_extensions_list (line 886) | def get_extensions_list(self):
    method launch (line 905) | def launch(self, server_name, port, root_path):
    method kill_webui (line 917) | def kill_webui(self):
    method restart_webui (line 920) | def restart_webui(self):
    method stop_webui (line 925) | def stop_webui(request):

FILE: modules/api/models.py
  class ModelDef (line 27) | class ModelDef(BaseModel):
  class PydanticModelGenerator (line 37) | class PydanticModelGenerator:
    method __init__ (line 44) | def __init__(
    method generate_model (line 87) | def generate_model(self):
  class TextToImageResponse (line 134) | class TextToImageResponse(BaseModel):
  class ImageToImageResponse (line 139) | class ImageToImageResponse(BaseModel):
  class ExtrasBaseRequest (line 144) | class ExtrasBaseRequest(BaseModel):
  class ExtraBaseResponse (line 159) | class ExtraBaseResponse(BaseModel):
  class ExtrasSingleImageRequest (line 162) | class ExtrasSingleImageRequest(ExtrasBaseRequest):
  class ExtrasSingleImageResponse (line 165) | class ExtrasSingleImageResponse(ExtraBaseResponse):
  class FileData (line 168) | class FileData(BaseModel):
  class ExtrasBatchImagesRequest (line 172) | class ExtrasBatchImagesRequest(ExtrasBaseRequest):
  class ExtrasBatchImagesResponse (line 175) | class ExtrasBatchImagesResponse(ExtraBaseResponse):
  class PNGInfoRequest (line 178) | class PNGInfoRequest(BaseModel):
  class PNGInfoResponse (line 181) | class PNGInfoResponse(BaseModel):
  class ProgressRequest (line 186) | class ProgressRequest(BaseModel):
  class ProgressResponse (line 189) | class ProgressResponse(BaseModel):
  class InterrogateRequest (line 196) | class InterrogateRequest(BaseModel):
  class InterrogateResponse (line 200) | class InterrogateResponse(BaseModel):
  class TrainResponse (line 203) | class TrainResponse(BaseModel):
  class CreateResponse (line 206) | class CreateResponse(BaseModel):
  class SamplerItem (line 233) | class SamplerItem(BaseModel):
  class SchedulerItem (line 238) | class SchedulerItem(BaseModel):
  class UpscalerItem (line 245) | class UpscalerItem(BaseModel):
  class LatentUpscalerModeItem (line 252) | class LatentUpscalerModeItem(BaseModel):
  class SDModelItem (line 255) | class SDModelItem(BaseModel):
  class SDVaeItem (line 263) | class SDVaeItem(BaseModel):
  class HypernetworkItem (line 267) | class HypernetworkItem(BaseModel):
  class FaceRestorerItem (line 271) | class FaceRestorerItem(BaseModel):
  class RealesrganItem (line 275) | class RealesrganItem(BaseModel):
  class PromptStyleItem (line 280) | class PromptStyleItem(BaseModel):
  class EmbeddingItem (line 286) | class EmbeddingItem(BaseModel):
  class EmbeddingsResponse (line 293) | class EmbeddingsResponse(BaseModel):
  class MemoryResponse (line 297) | class MemoryResponse(BaseModel):
  class ScriptsList (line 302) | class ScriptsList(BaseModel):
  class ScriptArg (line 307) | class ScriptArg(BaseModel):
  class ScriptInfo (line 316) | class ScriptInfo(BaseModel):
  class ExtensionItem (line 322) | class ExtensionItem(BaseModel):

FILE: modules/cache.py
  function dump_cache (line 17) | def dump_cache():
  function make_cache (line 23) | def make_cache(subsection: str) -> diskcache.Cache:
  function convert_old_cached_data (line 31) | def convert_old_cached_data():
  function cache (line 56) | def cache(subsection):
  function cached_data_for_file (line 81) | def cached_data_for_file(subsection, title, filename, func):

FILE: modules/call_queue.py
  function wrap_queued_call (line 11) | def wrap_queued_call(func):
  function wrap_gradio_gpu_call (line 21) | def wrap_gradio_gpu_call(func, extra_outputs=None):
  function wrap_gradio_call (line 49) | def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
  function wrap_gradio_call_no_job (line 65) | def wrap_gradio_call_no_job(func, extra_outputs=None, add_stats=False):

FILE: modules/codeformer_model.py
  class FaceRestorerCodeFormer (line 25) | class FaceRestorerCodeFormer(face_restoration_utils.CommonFaceRestoration):
    method name (line 26) | def name(self):
    method load_net (line 29) | def load_net(self) -> torch.Module:
    method get_device (line 44) | def get_device(self):
    method restore (line 47) | def restore(self, np_image, w: float | None = None):
  function setup_model (line 58) | def setup_model(dirname: str) -> None:

FILE: modules/config_states.py
  function list_config_states (line 18) | def list_config_states():
  function get_webui_config (line 48) | def get_webui_config():
  function get_extension_config (line 80) | def get_extension_config():
  function get_config (line 103) | def get_config():
  function restore_webui_config (line 115) | def restore_webui_config(config):
  function restore_extension_config (line 146) | def restore_extension_config(config):

FILE: modules/dat_model.py
  class UpscalerDAT (line 9) | class UpscalerDAT(Upscaler):
    method __init__ (line 10) | def __init__(self, user_path):
    method do_upscale (line 25) | def do_upscale(self, img, path):
    method load_model (line 45) | def load_model(self, path):
  function get_dat_models (line 59) | def get_dat_models(scaler):

FILE: modules/deepbooru.py
  class DeepDanbooru (line 12) | class DeepDanbooru:
    method __init__ (line 13) | def __init__(self):
    method load (line 16) | def load(self):
    method start (line 33) | def start(self):
    method stop (line 37) | def stop(self):
    method tag (line 42) | def tag(self, pil_image):
    method tag_multi (line 49) | def tag_multi(self, pil_image, force_disable_ranks=False):

FILE: modules/deepbooru_model.py
  class DeepDanbooruModel (line 10) | class DeepDanbooruModel(nn.Module):
    method __init__ (line 11) | def __init__(self):
    method forward (line 197) | def forward(self, *inputs):
    method load_state_dict (line 674) | def load_state_dict(self, state_dict, **kwargs):

FILE: modules/devices.py
  function has_xpu (line 15) | def has_xpu() -> bool:
  function has_mps (line 19) | def has_mps() -> bool:
  function cuda_no_autocast (line 26) | def cuda_no_autocast(device_id=None) -> bool:
  function get_cuda_device_id (line 35) | def get_cuda_device_id():
  function get_cuda_device_string (line 43) | def get_cuda_device_string():
  function get_optimal_device_name (line 50) | def get_optimal_device_name():
  function get_optimal_device (line 66) | def get_optimal_device():
  function get_device_for (line 70) | def get_device_for(task):
  function torch_gc (line 77) | def torch_gc():
  function torch_npu_set_device (line 95) | def torch_npu_set_device():
  function enable_tf32 (line 101) | def enable_tf32():
  function cond_cast_unet (line 132) | def cond_cast_unet(input):
  function cond_cast_float (line 138) | def cond_cast_float(input):
  function manual_cast_forward (line 152) | def manual_cast_forward(target_dtype):
  function manual_cast (line 188) | def manual_cast(target_dtype):
  function autocast (line 210) | def autocast(disable=False):
  function without_autocast (line 234) | def without_autocast(disable=False):
  class NansException (line 238) | class NansException(Exception):
  function test_for_nans (line 242) | def test_for_nans(x, where):
  function first_time_calculation (line 269) | def first_time_calculation():
  function force_model_fp16 (line 284) | def force_model_fp16():

FILE: modules/errors.py
  function format_traceback (line 9) | def format_traceback(tb):
  function format_exception (line 13) | def format_exception(e, tb):
  function get_exceptions (line 17) | def get_exceptions():
  function record_exception (line 24) | def record_exception():
  function report (line 38) | def report(message: str, *, exc_info: bool = False) -> None:
  function print_error_explanation (line 52) | def print_error_explanation(message):
  function display (line 64) | def display(e: Exception, task, *, full_traceback=False):
  function display_once (line 85) | def display_once(e: Exception, task):
  function run (line 96) | def run(code, task):
  function check_versions (line 103) | def check_versions():

FILE: modules/esrgan_model.py
  class UpscalerESRGAN (line 7) | class UpscalerESRGAN(Upscaler):
    method __init__ (line 8) | def __init__(self, dirname):
    method do_upscale (line 29) | def do_upscale(self, img, selected_model):
    method load_model (line 38) | def load_model(self, path: str):
  function esrgan_upscale (line 56) | def esrgan_upscale(model, img):

FILE: modules/extensions.py
  function active (line 21) | def active():
  class CallbackOrderInfo (line 31) | class CallbackOrderInfo:
  class ExtensionMetadata (line 37) | class ExtensionMetadata:
    method __init__ (line 43) | def __init__(self, path, canonical_name):
    method get_script_requirements (line 59) | def get_script_requirements(self, field, section, extra_section=None):
    method parse_list (line 79) | def parse_list(self, text):
    method list_callback_order_instructions (line 88) | def list_callback_order_instructions(self):
  class Extension (line 105) | class Extension:
    method __init__ (line 110) | def __init__(self, name, path, enabled=True, is_builtin=False, metadat...
    method to_dict (line 126) | def to_dict(self):
    method from_dict (line 129) | def from_dict(self, d):
    method read_info_from_repo (line 133) | def read_info_from_repo(self):
    method do_read_info_from_repo (line 153) | def do_read_info_from_repo(self):
    method list_files (line 179) | def list_files(self, subdir, extension):
    method check_updates (line 192) | def check_updates(self):
    method fetch_and_reset_hard (line 217) | def fetch_and_reset_hard(self, commit=None):
  function list_extensions (line 228) | def list_extensions():
  function find_extension (line 287) | def find_extension(filename):

FILE: modules/extra_networks.py
  function initialize (line 13) | def initialize():
  function register_extra_network (line 18) | def register_extra_network(extra_network):
  function register_extra_network_alias (line 22) | def register_extra_network_alias(extra_network, alias):
  function register_default_extra_networks (line 26) | def register_default_extra_networks():
  class ExtraNetworkParams (line 31) | class ExtraNetworkParams:
    method __init__ (line 32) | def __init__(self, items=None):
    method __eq__ (line 44) | def __eq__(self, other):
  class ExtraNetwork (line 48) | class ExtraNetwork:
    method __init__ (line 49) | def __init__(self, name):
    method activate (line 52) | def activate(self, p, params_list):
    method deactivate (line 82) | def deactivate(self, p):
  function lookup_extra_networks (line 90) | def lookup_extra_networks(extra_network_data):
  function activate (line 126) | def activate(p, extra_network_data):
  function deactivate (line 153) | def deactivate(p, extra_network_data):
  function parse_prompt (line 178) | def parse_prompt(prompt):
  function parse_prompts (line 194) | def parse_prompts(prompts):
  function get_user_metadata (line 209) | def get_user_metadata(filename, lister=None):

FILE: modules/extra_networks_hypernet.py
  class ExtraNetworkHypernet (line 5) | class ExtraNetworkHypernet(extra_networks.ExtraNetwork):
    method __init__ (line 6) | def __init__(self):
    method activate (line 9) | def activate(self, p, params_list):
    method deactivate (line 27) | def deactivate(self, p):

FILE: modules/extras.py
  function run_pnginfo (line 16) | def run_pnginfo(image):
  function create_config (line 39) | def create_config(ckpt_result, config_source, a, b, c):
  function to_half (line 68) | def to_half(tensor, enable):
  function read_metadata (line 75) | def read_metadata(primary_model_name, secondary_model_name, tertiary_mod...
  function run_modelmerger (line 88) | def run_modelmerger(id_task, primary_model_name, secondary_model_name, t...

FILE: modules/face_restoration.py
  class FaceRestoration (line 4) | class FaceRestoration:
    method name (line 5) | def name(self):
    method restore (line 8) | def restore(self, np_image):
  function restore_faces (line 12) | def restore_faces(np_image):

FILE: modules/face_restoration_utils.py
  function bgr_image_to_rgb_tensor (line 20) | def bgr_image_to_rgb_tensor(img: np.ndarray) -> torch.Tensor:
  function rgb_tensor_to_bgr_image (line 29) | def rgb_tensor_to_bgr_image(tensor: torch.Tensor, *, min_max=(0.0, 1.0))...
  function create_face_helper (line 42) | def create_face_helper(device) -> FaceRestoreHelper:
  function restore_with_face_helper (line 58) | def restore_with_face_helper(
  class CommonFaceRestoration (line 113) | class CommonFaceRestoration(face_restoration.FaceRestoration):
    method __init__ (line 118) | def __init__(self, model_path: str):
    method face_helper (line 125) | def face_helper(self) -> FaceRestoreHelper:
    method send_model_to (line 128) | def send_model_to(self, device):
    method get_device (line 137) | def get_device(self):
    method load_net (line 140) | def load_net(self) -> torch.Module:
    method restore_with_helper (line 143) | def restore_with_helper(
  function patch_facexlib (line 163) | def patch_facexlib(dirname: str) -> None:

FILE: modules/fifo_lock.py
  class FIFOLock (line 6) | class FIFOLock(object):
    method __init__ (line 7) | def __init__(self):
    method acquire (line 12) | def acquire(self, blocking=True):
    method release (line 26) | def release(self):
    method __exit__ (line 36) | def __exit__(self, t, v, tb):

FILE: modules/gfpgan_model.py
  class FaceRestorerGFPGAN (line 23) | class FaceRestorerGFPGAN(face_restoration_utils.CommonFaceRestoration):
    method name (line 24) | def name(self):
    method get_device (line 27) | def get_device(self):
    method load_net (line 30) | def load_net(self) -> torch.Module:
    method restore (line 46) | def restore(self, np_image):
  function gfpgan_fix_faces (line 54) | def gfpgan_fix_faces(np_image):
  function setup_model (line 61) | def setup_model(dirname: str) -> None:

FILE: modules/gitpython_hack.py
  class Git (line 9) | class Git(git.Git):
    method _get_persistent_cmd (line 14) | def _get_persistent_cmd(self, attr_name, cmd_name, *args, **kwargs):
    method get_object_header (line 17) | def get_object_header(self, ref: str | bytes) -> tuple[str, str, int]:
    method stream_object_data (line 26) | def stream_object_data(self, ref: str) -> tuple[str, str, int, Git.Cat...
  class Repo (line 41) | class Repo(git.Repo):

FILE: modules/gradio_extensons.py
  function add_classes_to_gradio_component (line 6) | def add_classes_to_gradio_component(comp):
  function IOComponent_init (line 17) | def IOComponent_init(self, *args, **kwargs):
  function Block_get_config (line 37) | def Block_get_config(self):
  function BlockContext_init (line 49) | def BlockContext_init(self, *args, **kwargs):
  function Blocks_get_config_file (line 67) | def Blocks_get_config_file(self, *args, **kwargs):

FILE: modules/hashes.py
  function calculate_sha256 (line 11) | def calculate_sha256(filename):
  function sha256_from_cache (line 22) | def sha256_from_cache(filename, title, use_addnet_hash=False):
  function sha256 (line 41) | def sha256(filename, title, use_addnet_hash=False):
  function addnet_hash_safetensors (line 69) | def addnet_hash_safetensors(b):

FILE: modules/hat_model.py
  class UpscalerHAT (line 10) | class UpscalerHAT(Upscaler):
    method __init__ (line 11) | def __init__(self, dirname):
    method do_upscale (line 22) | def do_upscale(self, img, selected_model):
    method load_model (line 36) | def load_model(self, path: str):

FILE: modules/hypernetworks/hypernetwork.py
  class HypernetworkModule (line 25) | class HypernetworkModule(torch.nn.Module):
    method __init__ (line 37) | def __init__(self, dim, state_dict=None, layer_structure=None, activat...
    method fix_old_state_dict (line 101) | def fix_old_state_dict(self, state_dict):
    method forward (line 117) | def forward(self, x):
    method trainables (line 120) | def trainables(self):
  function parse_dropout_structure (line 129) | def parse_dropout_structure(layer_structure, use_dropout, last_layer_dro...
  class Hypernetwork (line 144) | class Hypernetwork:
    method __init__ (line 148) | def __init__(self, name=None, enable_sizes=None, layer_structure=None,...
    method weights (line 178) | def weights(self):
    method train (line 185) | def train(self, mode=True):
    method to (line 192) | def to(self, device):
    method set_multiplier (line 199) | def set_multiplier(self, multiplier):
    method eval (line 206) | def eval(self):
    method save (line 213) | def save(self, filename):
    method load (line 243) | def load(self, filename):
    method shorthash (line 306) | def shorthash(self):
  function list_hypernetworks (line 312) | def list_hypernetworks(path):
  function load_hypernetwork (line 322) | def load_hypernetwork(name):
  function load_hypernetworks (line 337) | def load_hypernetworks(names, multipliers=None):
  function apply_single_hypernetwork (line 358) | def apply_single_hypernetwork(hypernetwork, context_k, context_v, layer=...
  function apply_hypernetworks (line 373) | def apply_hypernetworks(hypernetworks, context, layer=None):
  function attention_CrossAttention_forward (line 382) | def attention_CrossAttention_forward(self, x, context=None, mask=None, *...
  function stack_conds (line 410) | def stack_conds(conds):
  function statistics (line 425) | def statistics(data):
  function create_hypernetwork (line 440) | def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structu...
  function train_hypernetwork (line 472) | def train_hypernetwork(id_task, hypernetwork_name: str, learn_rate: floa...
  function save_hypernetwork (line 770) | def save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, filen...

FILE: modules/hypernetworks/ui.py
  function create_hypernetwork (line 11) | def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structu...
  function train_hypernetwork (line 17) | def train_hypernetwork(*args):

FILE: modules/images.py
  function get_font (line 29) | def get_font(fontsize: int):
  function image_grid (line 36) | def image_grid(imgs, batch_size=1, rows=None):
  class Grid (line 69) | class Grid(namedtuple("_Grid", ["tiles", "tile_w", "tile_h", "image_w", ...
    method tile_count (line 71) | def tile_count(self) -> int:
  function split_grid (line 78) | def split_grid(image: Image.Image, tile_w: int = 512, tile_h: int = 512,...
  function combine_grid (line 114) | def combine_grid(grid):
  class GridAnnotation (line 144) | class GridAnnotation:
    method __init__ (line 145) | def __init__(self, text='', is_active=True):
  function draw_grid_annotations (line 151) | def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margi...
  function draw_prompt_matrix (line 239) | def draw_prompt_matrix(im, width, height, all_prompts, margin=0):
  function resize_image (line 252) | def resize_image(resize_mode, im, width, height, upscaler_name=None):
  function sanitize_filename_part (line 342) | def sanitize_filename_part(text, replace_spaces=True):
  function get_scheduler_str (line 356) | def get_scheduler_str(sampler_name, scheduler_name):
  function get_sampler_scheduler_str (line 365) | def get_sampler_scheduler_str(sampler_name, scheduler_name):
  function get_sampler_scheduler (line 370) | def get_sampler_scheduler(p, sampler):
  class FilenameGenerator (line 381) | class FilenameGenerator:
    method __init__ (line 420) | def __init__(self, p, seed, prompt, image, zip=False, basename=""):
    method get_vae_filename (line 428) | def get_vae_filename(self):
    method hasprompt (line 444) | def hasprompt(self, *args):
    method prompt_no_style (line 460) | def prompt_no_style(self):
    method prompt_words (line 474) | def prompt_words(self):
    method datetime (line 480) | def datetime(self, *args):
    method image_hash (line 497) | def image_hash(self, *args):
    method string_hash (line 501) | def string_hash(self, text, *args):
    method apply (line 505) | def apply(self, x):
  function get_next_sequence_number (line 543) | def get_next_sequence_number(path, basename):
  function save_image_with_geninfo (line 565) | def save_image_with_geninfo(image, geninfo, filename, extension=None, ex...
  function save_image (line 624) | def save_image(image, path, basename, seed=None, prompt=None, extension=...
  function read_info_from_image (line 777) | def read_info_from_image(image: Image.Image) -> tuple[str | None, dict]:
  function image_data (line 820) | def image_data(data):
  function flatten (line 841) | def flatten(img, bgcolor):
  function read (line 852) | def read(fp, **kwargs):
  function fix_image (line 859) | def fix_image(image: Image.Image):
  function fix_png_transparency (line 872) | def fix_png_transparency(image: Image.Image):

FILE: modules/img2img.py
  function process_batch (line 20) | def process_batch(p, input, output_dir, inpaint_mask_dir, args, to_scale...
  function img2img (line 152) | def img2img(id_task: str, request: gr.Request, mode: int, prompt: str, n...

FILE: modules/infotext_utils.py
  class ParamBinding (line 23) | class ParamBinding:
    method __init__ (line 24) | def __init__(self, paste_button, tabname, source_text_component=None, ...
  class PasteField (line 34) | class PasteField(tuple):
    method __new__ (line 35) | def __new__(cls, component, target, *, api=None):
    method __init__ (line 38) | def __init__(self, component, target, *, api=None):
  function reset (line 51) | def reset():
  function quote (line 56) | def quote(text):
  function unquote (line 63) | def unquote(text):
  function image_from_url_text (line 73) | def image_from_url_text(filedata):
  function add_paste_fields (line 102) | def add_paste_fields(tabname, init_img, fields, override_settings_compon...
  function create_buttons (line 119) | def create_buttons(tabs_list):
  function bind_buttons (line 126) | def bind_buttons(buttons, send_image, send_generate_info):
  function register_paste_params_button (line 135) | def register_paste_params_button(binding: ParamBinding):
  function connect_paste_params_buttons (line 139) | def connect_paste_params_buttons():
  function send_image_and_dimensions (line 186) | def send_image_and_dimensions(x):
  function restore_old_hires_fix_params (line 202) | def restore_old_hires_fix_params(res):
  function parse_generation_parameters (line 234) | def parse_generation_parameters(x: str, skip_fields: list[str] | None = ...
  function create_override_settings_dict (line 404) | def create_override_settings_dict(text_pairs):
  function get_override_settings (line 434) | def get_override_settings(params, *, skip_fields=None):
  function connect_paste (line 476) | def connect_paste(button, paste_fields, input_comp, override_settings_co...

FILE: modules/infotext_versions.py
  function parse_version (line 12) | def parse_version(text):
  function backcompat (line 26) | def backcompat(d):

FILE: modules/initialize.py
  function imports (line 11) | def imports():
  function check_versions (line 43) | def check_versions():
  function initialize (line 51) | def initialize():
  function initialize_rest (line 78) | def initialize_rest(*, reload_script_modules=False):

FILE: modules/initialize_util.py
  function gradio_server_name (line 10) | def gradio_server_name():
  function fix_torch_version (line 19) | def fix_torch_version():
  function fix_pytorch_lightning (line 27) | def fix_pytorch_lightning():
  function fix_asyncio_event_loop_policy (line 35) | def fix_asyncio_event_loop_policy():
  function restore_config_state_file (line 75) | def restore_config_state_file():
  function validate_tls_options (line 95) | def validate_tls_options():
  function get_gradio_auth_creds (line 114) | def get_gradio_auth_creds():
  function dumpstacks (line 142) | def dumpstacks():
  function configure_sigint_handler (line 158) | def configure_sigint_handler():
  function configure_opts_onchange (line 177) | def configure_opts_onchange():
  function setup_middleware (line 192) | def setup_middleware(app):
  function configure_cors_middleware (line 201) | def configure_cors_middleware(app):

FILE: modules/interrogate.py
  function category_types (line 22) | def category_types():
  function download_default_clip_interrogate_categories (line 26) | def download_default_clip_interrogate_categories(content_dir):
  class InterrogateModels (line 45) | class InterrogateModels:
    method __init__ (line 52) | def __init__(self, content_dir):
    method categories (line 58) | def categories(self):
    method create_fake_fairscale (line 83) | def create_fake_fairscale(self):
    method load_blip_model (line 90) | def load_blip_model(self):
    method load_clip_model (line 106) | def load_clip_model(self):
    method load (line 119) | def load(self):
    method send_clip_to_ram (line 136) | def send_clip_to_ram(self):
    method send_blip_to_ram (line 141) | def send_blip_to_ram(self):
    method unload (line 146) | def unload(self):
    method rank (line 152) | def rank(self, image_features, text_array, top_count=1):
    method generate_caption (line 173) | def generate_caption(self, pil_image):
    method interrogate (line 185) | def interrogate(self, pil_image):

FILE: modules/launch_utils.py
  function check_python_version (line 34) | def check_python_version():
  function commit_hash (line 66) | def commit_hash():
  function git_tag (line 74) | def git_tag():
  function run (line 89) | def run(command, desc=None, errdesc=None, custom_env=None, live: bool = ...
  function is_installed (line 121) | def is_installed(package):
  function repo_dir (line 135) | def repo_dir(name):
  function run_pip (line 139) | def run_pip(command, desc=None, live=default_command_live):
  function check_run_python (line 147) | def check_run_python(code: str) -> bool:
  function git_fix_workspace (line 152) | def git_fix_workspace(dir, name):
  function run_git (line 158) | def run_git(dir, name, command, desc=None, errdesc=None, custom_env=None...
  function git_clone (line 171) | def git_clone(url, dir, name, commithash=None):
  function git_pull_recursive (line 201) | def git_pull_recursive(dir):
  function version_check (line 211) | def version_check(commit):
  function run_extension_installer (line 228) | def run_extension_installer(extension_dir):
  function list_extensions (line 244) | def list_extensions(settings_file):
  function run_extensions_installers (line 265) | def run_extensions_installers(settings_file):
  function requirements_met (line 283) | def requirements_met(requirements_file):
  function prepare_environment (line 318) | def prepare_environment():
  function configure_for_tests (line 449) | def configure_for_tests():
  function start (line 463) | def start():
  function dump_sysinfo (line 472) | def dump_sysinfo():

FILE: modules/localization.py
  function list_localizations (line 9) | def list_localizations(dirname):
  function localization_js (line 26) | def localization_js(current_localization_name: str) -> str:

FILE: modules/logging_config.py
  class TqdmLoggingHandler (line 8) | class TqdmLoggingHandler(logging.Handler):
    method __init__ (line 9) | def __init__(self, fallback_handler: logging.Handler):
    method emit (line 13) | def emit(self, record):
  function setup_logging (line 28) | def setup_logging(loglevel):

FILE: modules/lowvram.py
  function send_everything_to_cpu (line 11) | def send_everything_to_cpu():
  function is_needed (line 20) | def is_needed(sd_model):
  function apply (line 24) | def apply(sd_model):
  function setup_for_low_vram (line 34) | def setup_for_low_vram(sd_model, use_medvram):
  function is_enabled (line 164) | def is_enabled(sd_model):

FILE: modules/mac_specific.py
  function check_for_mps (line 17) | def check_for_mps() -> bool:
  function torch_mps_gc (line 33) | def torch_mps_gc() -> None:
  function cumsum_fix (line 45) | def cumsum_fix(input, cumsum_func, *args, **kwargs):
  function interpolate_with_fp32_fallback (line 56) | def interpolate_with_fp32_fallback(orig_func, *args, **kwargs) -> Tensor:

FILE: modules/masking.py
  function get_crop_region_v2 (line 4) | def get_crop_region_v2(mask, pad=0):
  function get_crop_region (line 22) | def get_crop_region(mask, pad=0):
  function expand_crop_region (line 39) | def expand_crop_region(crop_region, processing_width, processing_height,...
  function fill (line 80) | def fill(image, mask):

FILE: modules/memmon.py
  class MemUsageMonitor (line 8) | class MemUsageMonitor(threading.Thread):
    method __init__ (line 15) | def __init__(self, name, device, opts):
    method cuda_mem_get_info (line 32) | def cuda_mem_get_info(self):
    method run (line 36) | def run(self):
    method dump_debug (line 58) | def dump_debug(self):
    method monitor (line 72) | def monitor(self):
    method read (line 75) | def read(self):
    method stop (line 90) | def stop(self):

FILE: modules/modelloader.py
  function load_file_from_url (line 20) | def load_file_from_url(
  function load_models (line 44) | def load_models(model_path: str, model_url: str = None, command_path: st...
  function friendly_name (line 93) | def friendly_name(file: str):
  function load_upscalers (line 102) | def load_upscalers():
  function _init_spandrel_extra_archs (line 146) | def _init_spandrel_extra_archs() -> None:
  function load_spandrel_model (line 164) | def load_spandrel_model(

FILE: modules/models/diffusion/ddpm_edit.py
  class VQModelInterface (line 34) | class VQModelInterface:
  function disabled_train (line 42) | def disabled_train(self, mode=True):
  function uniform_on_device (line 48) | def uniform_on_device(r1, r2, shape, device):
  class DDPM (line 52) | class DDPM(pl.LightningModule):
    method __init__ (line 54) | def __init__(self,
    method register_schedule (line 133) | def register_schedule(self, given_betas=None, beta_schedule="linear", ...
    method ema_scope (line 188) | def ema_scope(self, context=None):
    method init_from_ckpt (line 202) | def init_from_ckpt(self, path, ignore_keys=None, only_model=False):
    method q_mean_variance (line 243) | def q_mean_variance(self, x_start, t):
    method predict_start_from_noise (line 255) | def predict_start_from_noise(self, x_t, t, noise):
    method q_posterior (line 261) | def q_posterior(self, x_start, x_t, t):
    method p_mean_variance (line 270) | def p_mean_variance(self, x, t, clip_denoised: bool):
    method p_sample (line 283) | def p_sample(self, x, t, clip_denoised=True, repeat_noise=False):
    method p_sample_loop (line 292) | def p_sample_loop(self, shape, return_intermediates=False):
    method sample (line 307) | def sample(self, batch_size=16, return_intermediates=False):
    method q_sample (line 313) | def q_sample(self, x_start, t, noise=None):
    method get_loss (line 318) | def get_loss(self, pred, target, mean=True):
    method p_losses (line 333) | def p_losses(self, x_start, t, noise=None):
    method forward (line 362) | def forward(self, x, *args, **kwargs):
    method get_input (line 368) | def get_input(self, batch, k):
    method shared_step (line 371) | def shared_step(self, batch):
    method training_step (line 376) | def training_step(self, batch, batch_idx):
    method validation_step (line 392) | def validation_step(self, batch, batch_idx):
    method on_train_batch_end (line 400) | def on_train_batch_end(self, *args, **kwargs):
    method _get_rows_from_list (line 404) | def _get_rows_from_list(self, samples):
    method log_images (line 412) | def log_images(self, batch, N=8, n_row=2, sample=True, return_keys=Non...
    method configure_optimizers (line 449) | def configure_optimizers(self):
  class LatentDiffusion (line 458) | class LatentDiffusion(DDPM):
    method __init__ (line 460) | def __init__(self,
    method make_cond_schedule (line 510) | def make_cond_schedule(self, ):
    method on_train_batch_start (line 517) | def on_train_batch_start(self, batch, batch_idx, dataloader_idx):
    method register_schedule (line 532) | def register_schedule(self,
    method instantiate_first_stage (line 541) | def instantiate_first_stage(self, config):
    method instantiate_cond_stage (line 548) | def instantiate_cond_stage(self, config):
    method _get_denoise_row_from_list (line 569) | def _get_denoise_row_from_list(self, samples, desc='', force_no_decode...
    method get_first_stage_encoding (line 581) | def get_first_stage_encoding(self, encoder_posterior):
    method get_learned_conditioning (line 590) | def get_learned_conditioning(self, c):
    method meshgrid (line 603) | def meshgrid(self, h, w):
    method delta_border (line 610) | def delta_border(self, h, w):
    method get_weighting (line 624) | def get_weighting(self, h, w, Ly, Lx, device):
    method get_fold_unfold (line 640) | def get_fold_unfold(self, x, kernel_size, stride, uf=1, df=1):  # todo...
    method get_input (line 693) | def get_input(self, batch, k, return_first_stage_outputs=False, force_...
    method decode_first_stage (line 726) | def decode_first_stage(self, z, predict_cids=False, force_not_quantize...
    method differentiable_decode_first_stage (line 786) | def differentiable_decode_first_stage(self, z, predict_cids=False, for...
    method encode_first_stage (line 846) | def encode_first_stage(self, x):
    method shared_step (line 885) | def shared_step(self, batch, **kwargs):
    method forward (line 890) | def forward(self, x, c, *args, **kwargs):
    method apply_model (line 901) | def apply_model(self, x_noisy, t, cond, return_ids=False):
    method _predict_eps_from_xstart (line 1004) | def _predict_eps_from_xstart(self, x_t, t, pred_xstart):
    method _prior_bpd (line 1008) | def _prior_bpd(self, x_start):
    method p_losses (line 1022) | def p_losses(self, x_start, cond, t, noise=None):
    method p_mean_variance (line 1057) | def p_mean_variance(self, x, c, t, clip_denoised: bool, return_codeboo...
    method p_sample (line 1089) | def p_sample(self, x, c, t, clip_denoised=False, repeat_noise=False,
    method progressive_denoising (line 1120) | def progressive_denoising(self, cond, shape, verbose=True, callback=No...
    method p_sample_loop (line 1178) | def p_sample_loop(self, cond, shape, return_intermediates=False,
    method sample (line 1231) | def sample(self, cond, batch_size=16, return_intermediates=False, x_T=...
    method sample_log (line 1249) | def sample_log(self,cond,batch_size,ddim, ddim_steps,**kwargs):
    method log_images (line 1265) | def log_images(self, batch, N=4, n_row=4, sample=True, ddim_steps=200,...
    method configure_optimizers (line 1376) | def configure_optimizers(self):
    method to_rgb (line 1401) | def to_rgb(self, x):
  class DiffusionWrapper (line 1410) | class DiffusionWrapper(pl.LightningModule):
    method __init__ (line 1411) | def __init__(self, diff_model_config, conditioning_key):
    method forward (line 1417) | def forward(self, x, t, c_concat: list = None, c_crossattn: list = None):
  class Layout2ImgDiffusion (line 1439) | class Layout2ImgDiffusion(LatentDiffusion):
    method __init__ (line 1441) | def __init__(self, cond_stage_key, *args, **kwargs):
    method log_images (line 1445) | def log_images(self, batch, N=8, *args, **kwargs):

FILE: modules/models/diffusion/uni_pc/sampler.py
  class UniPCSampler (line 9) | class UniPCSampler(object):
    method __init__ (line 10) | def __init__(self, model, **kwargs):
    method register_buffer (line 18) | def register_buffer(self, name, attr):
    method set_hooks (line 24) | def set_hooks(self, before_sample, after_sample, after_update):
    method sample (line 30) | def sample(self,

FILE: modules/models/diffusion/uni_pc/uni_pc.py
  class NoiseScheduleVP (line 6) | class NoiseScheduleVP:
    method __init__ (line 7) | def __init__(
    method marginal_log_mean_coeff (line 125) | def marginal_log_mean_coeff(self, t):
    method marginal_alpha (line 138) | def marginal_alpha(self, t):
    method marginal_std (line 144) | def marginal_std(self, t):
    method marginal_lambda (line 150) | def marginal_lambda(self, t):
    method inverse_lambda (line 158) | def inverse_lambda(self, lamb):
  function model_wrapper (line 177) | def model_wrapper(
  class UniPC (line 372) | class UniPC:
    method __init__ (line 373) | def __init__(
    method dynamic_thresholding_fn (line 403) | def dynamic_thresholding_fn(self, x0, t=None):
    method model (line 414) | def model(self, x, t):
    method noise_prediction_fn (line 429) | def noise_prediction_fn(self, x, t):
    method data_prediction_fn (line 435) | def data_prediction_fn(self, x, t):
    method model_fn (line 450) | def model_fn(self, x, t):
    method get_time_steps (line 459) | def get_time_steps(self, skip_type, t_T, t_0, N, device):
    method get_orders_and_timesteps_for_singlestep_solver (line 476) | def get_orders_and_timesteps_for_singlestep_solver(self, steps, order,...
    method denoise_to_zero_fn (line 507) | def denoise_to_zero_fn(self, x, s):
    method multistep_uni_pc_update (line 513) | def multistep_uni_pc_update(self, x, model_prev_list, t_prev_list, t, ...
    method multistep_uni_pc_vary_update (line 522) | def multistep_uni_pc_vary_update(self, x, model_prev_list, t_prev_list...
    method multistep_uni_pc_bh_update (line 625) | def multistep_uni_pc_bh_update(self, x, model_prev_list, t_prev_list, ...
    method sample (line 746) | def sample(self, x, steps=20, t_start=None, t_end=None, order=3, skip_...
  function interpolate_fn (line 811) | def interpolate_fn(x, xp, yp):
  function expand_dims (line 853) | def expand_dims(v, dims):

FILE: modules/models/sd3/mmdit.py
  class PatchEmbed (line 12) | class PatchEmbed(nn.Module):
    method __init__ (line 14) | def __init__(
    method forward (line 45) | def forward(self, x):
  function modulate (line 53) | def modulate(x, shift, scale):
  function get_2d_sincos_pos_embed (line 64) | def get_2d_sincos_pos_embed(embed_dim, grid_size, cls_token=False, extra...
  function get_2d_sincos_pos_embed_from_grid (line 85) | def get_2d_sincos_pos_embed_from_grid(embed_dim, grid):
  function get_1d_sincos_pos_embed_from_grid (line 94) | def get_1d_sincos_pos_embed_from_grid(embed_dim, pos):
  class TimestepEmbedder (line 116) | class TimestepEmbedder(nn.Module):
    method __init__ (line 119) | def __init__(self, hidden_size, frequency_embedding_size=256, dtype=No...
    method timestep_embedding (line 129) | def timestep_embedding(t, dim, max_period=10000):
    method forward (line 152) | def forward(self, t, dtype, **kwargs):
  class VectorEmbedder (line 158) | class VectorEmbedder(nn.Module):
    method __init__ (line 161) | def __init__(self, input_dim: int, hidden_size: int, dtype=None, devic...
    method forward (line 169) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  class QkvLinear (line 178) | class QkvLinear(torch.nn.Linear):
  function split_qkv (line 181) | def split_qkv(qkv, head_dim):
  function optimized_attention (line 185) | def optimized_attention(qkv, num_heads):
  class SelfAttention (line 188) | class SelfAttention(nn.Module):
    method __init__ (line 191) | def __init__(
    method pre_attention (line 227) | def pre_attention(self, x: torch.Tensor):
    method post_attention (line 235) | def post_attention(self, x: torch.Tensor) -> torch.Tensor:
    method forward (line 240) | def forward(self, x: torch.Tensor) -> torch.Tensor:
  class RMSNorm (line 247) | class RMSNorm(torch.nn.Module):
    method __init__ (line 248) | def __init__(
    method _norm (line 268) | def _norm(self, x):
    method forward (line 278) | def forward(self, x):
  class SwiGLUFeedForward (line 293) | class SwiGLUFeedForward(nn.Module):
    method __init__ (line 294) | def __init__(
    method forward (line 327) | def forward(self, x):
  class DismantledBlock (line 331) | class DismantledBlock(nn.Module):
    method __init__ (line 336) | def __init__(
    method pre_attention (line 378) | def pre_attention(self, x: torch.Tensor, c: torch.Tensor):
    method post_attention (line 398) | def post_attention(self, attn, x, gate_msa, shift_mlp, scale_mlp, gate...
    method forward (line 404) | def forward(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor:
  function block_mixing (line 411) | def block_mixing(context, x, context_block, x_block, c):
  class JointBlock (line 433) | class JointBlock(nn.Module):
    method __init__ (line 436) | def __init__(self, *args, **kwargs):
    method forward (line 443) | def forward(self, *args, **kwargs):
  class FinalLayer (line 447) | class FinalLayer(nn.Module):
    method __init__ (line 452) | def __init__(self, hidden_size: int, patch_size: int, out_channels: in...
    method forward (line 462) | def forward(self, x: torch.Tensor, c: torch.Tensor) -> torch.Tensor:
  class MMDiT (line 469) | class MMDiT(nn.Module):
    method __init__ (line 472) | def __init__(
    method cropped_pos_embed (line 550) | def cropped_pos_embed(self, hw):
    method unpatchify (line 571) | def unpatchify(self, x, hw=None):
    method forward_core_with_concat (line 591) | def forward_core_with_concat(self, x: torch.Tensor, c_mod: torch.Tenso...
    method forward (line 603) | def forward(self, x: torch.Tensor, t: torch.Tensor, y: Optional[torch....

FILE: modules/models/sd3/other_impls.py
  class AutocastLinear (line 16) | class AutocastLinear(nn.Linear):
    method forward (line 24) | def forward(self, x):
  function attention (line 28) | def attention(q, k, v, heads, mask=None):
  class Mlp (line 37) | class Mlp(nn.Module):
    method __init__ (line 39) | def __init__(self, in_features, hidden_features=None, out_features=Non...
    method forward (line 48) | def forward(self, x):
  class CLIPAttention (line 60) | class CLIPAttention(torch.nn.Module):
    method __init__ (line 61) | def __init__(self, embed_dim, heads, dtype, device):
    method forward (line 69) | def forward(self, x, mask=None):
  class CLIPLayer (line 82) | class CLIPLayer(torch.nn.Module):
    method __init__ (line 83) | def __init__(self, embed_dim, heads, intermediate_size, intermediate_a...
    method forward (line 91) | def forward(self, x, mask=None):
  class CLIPEncoder (line 97) | class CLIPEncoder(torch.nn.Module):
    method __init__ (line 98) | def __init__(self, num_layers, embed_dim, heads, intermediate_size, in...
    method forward (line 102) | def forward(self, x, mask=None, intermediate_output=None):
  class CLIPEmbeddings (line 114) | class CLIPEmbeddings(torch.nn.Module):
    method __init__ (line 115) | def __init__(self, embed_dim, vocab_size=49408, num_positions=77, dtyp...
    method forward (line 120) | def forward(self, input_tokens):
  class CLIPTextModel_ (line 124) | class CLIPTextModel_(torch.nn.Module):
    method __init__ (line 125) | def __init__(self, config_dict, dtype, device):
    method forward (line 136) | def forward(self, input_tokens, intermediate_output=None, final_layer_...
  class CLIPTextModel (line 147) | class CLIPTextModel(torch.nn.Module):
    method __init__ (line 148) | def __init__(self, config_dict, dtype, device):
    method get_input_embeddings (line 157) | def get_input_embeddings(self):
    method set_input_embeddings (line 160) | def set_input_embeddings(self, embeddings):
    method forward (line 163) | def forward(self, *args, **kwargs):
  class SDTokenizer (line 169) | class SDTokenizer:
    method __init__ (line 170) | def __init__(self, max_length=77, pad_with_end=True, tokenizer=None, h...
    method tokenize_with_weights (line 190) | def tokenize_with_weights(self, text:str):
  class SDXLClipGTokenizer (line 211) | class SDXLClipGTokenizer(SDTokenizer):
    method __init__ (line 212) | def __init__(self, tokenizer):
  class SD3Tokenizer (line 216) | class SD3Tokenizer:
    method __init__ (line 217) | def __init__(self):
    method tokenize_with_weights (line 223) | def tokenize_with_weights(self, text:str):
  class ClipTokenWeightEncoder (line 231) | class ClipTokenWeightEncoder:
    method encode_token_weights (line 232) | def encode_token_weights(self, token_weight_pairs):
  class SDClipModel (line 243) | class SDClipModel(torch.nn.Module, ClipTokenWeightEncoder):
    method __init__ (line 246) | def __init__(self, device="cpu", max_length=77, layer="last", layer_id...
    method set_clip_options (line 268) | def set_clip_options(self, options):
    method forward (line 277) | def forward(self, tokens):
  class SDXLClipG (line 295) | class SDXLClipG(SDClipModel):
    method __init__ (line 297) | def __init__(self, config, device="cpu", layer="penultimate", layer_id...
  class T5XXLModel (line 304) | class T5XXLModel(SDClipModel):
    method __init__ (line 306) | def __init__(self, config, device="cpu", layer="last", layer_idx=None,...
  class T5XXLTokenizer (line 314) | class T5XXLTokenizer(SDTokenizer):
    method __init__ (line 316) | def __init__(self):
  class T5LayerNorm (line 320) | class T5LayerNorm(torch.nn.Module):
    method __init__ (line 321) | def __init__(self, hidden_size, eps=1e-6, dtype=None, device=None):
    method forward (line 326) | def forward(self, x):
  class T5DenseGatedActDense (line 332) | class T5DenseGatedActDense(torch.nn.Module):
    method __init__ (line 333) | def __init__(self, model_dim, ff_dim, dtype, device):
    method forward (line 339) | def forward(self, x):
  class T5LayerFF (line 347) | class T5LayerFF(torch.nn.Module):
    method __init__ (line 348) | def __init__(self, model_dim, ff_dim, dtype, device):
    method forward (line 353) | def forward(self, x):
  class T5Attention (line 360) | class T5Attention(torch.nn.Module):
    method __init__ (line 361) | def __init__(self, model_dim, inner_dim, num_heads, relative_attention...
    method _relative_position_bucket (line 376) | def _relative_position_bucket(relative_position, bidirectional=True, n...
    method compute_bias (line 418) | def compute_bias(self, query_length, key_length, device):
    method forward (line 433) | def forward(self, x, past_bias=None):
  class T5LayerSelfAttention (line 450) | class T5LayerSelfAttention(torch.nn.Module):
    method __init__ (line 451) | def __init__(self, model_dim, inner_dim, ff_dim, num_heads, relative_a...
    method forward (line 456) | def forward(self, x, past_bias=None):
  class T5Block (line 462) | class T5Block(torch.nn.Module):
    method __init__ (line 463) | def __init__(self, model_dim, inner_dim, ff_dim, num_heads, relative_a...
    method forward (line 469) | def forward(self, x, past_bias=None):
  class T5Stack (line 475) | class T5Stack(torch.nn.Module):
    method __init__ (line 476) | def __init__(self, num_layers, model_dim, inner_dim, ff_dim, num_heads...
    method forward (line 482) | def forward(self, input_ids, intermediate_output=None, final_layer_nor...
  class T5 (line 496) | class T5(torch.nn.Module):
    method __init__ (line 497) | def __init__(self, config_dict, dtype, device):
    method get_input_embeddings (line 503) | def get_input_embeddings(self):
    method set_input_embeddings (line 506) | def set_input_embeddings(self, embeddings):
    method forward (line 509) | def forward(self, *args, **kwargs):

FILE: modules/models/sd3/sd3_cond.py
  class SafetensorsMapping (line 12) | class SafetensorsMapping(typing.Mapping):
    method __init__ (line 13) | def __init__(self, file):
    method __len__ (line 16) | def __len__(self):
    method __iter__ (line 19) | def __iter__(self):
    method __getitem__ (line 23) | def __getitem__(self, key):
  class Sd3ClipLG (line 56) | class Sd3ClipLG(sd_hijack_clip.TextConditionalModel):
    method __init__ (line 57) | def __init__(self, clip_l, clip_g):
    method tokenize (line 72) | def tokenize(self, texts):
    method encode_with_transformers (line 75) | def encode_with_transformers(self, tokens):
    method encode_embedding_init_text (line 93) | def encode_embedding_init_text(self, init_text, nvpt):
  class Sd3T5 (line 97) | class Sd3T5(torch.nn.Module):
    method __init__ (line 98) | def __init__(self, t5xxl):
    method tokenize (line 108) | def tokenize(self, texts):
    method tokenize_line (line 111) | def tokenize_line(self, line, *, target_token_count=None):
    method forward (line 142) | def forward(self, texts, *, token_count):
    method encode_embedding_init_text (line 156) | def encode_embedding_init_text(self, init_text, nvpt):
  class SD3Cond (line 160) | class SD3Cond(torch.nn.Module):
    method __init__ (line 161) | def __init__(self, *args, **kwargs):
    method forward (line 178) | def forward(self, prompts: list[str]):
    method before_load_weights (line 189) | def before_load_weights(self, state_dict):
    method encode_embedding_init_text (line 207) | def encode_embedding_init_text(self, init_text, nvpt):
    method tokenize (line 210) | def tokenize(self, texts):
    method medvram_modules (line 213) | def medvram_modules(self):
    method get_token_count (line 216) | def get_token_count(self, text):
    method get_target_prompt_token_count (line 221) | def get_target_prompt_token_count(self, token_count):

FILE: modules/models/sd3/sd3_impls.py
  class ModelSamplingDiscreteFlow (line 15) | class ModelSamplingDiscreteFlow(torch.nn.Module):
    method __init__ (line 17) | def __init__(self, shift=1.0):
    method sigma_min (line 25) | def sigma_min(self):
    method sigma_max (line 29) | def sigma_max(self):
    method timestep (line 32) | def timestep(self, sigma):
    method sigma (line 35) | def sigma(self, timestep: torch.Tensor):
    method calculate_denoised (line 41) | def calculate_denoised(self, sigma, model_output, model_input):
    method noise_scaling (line 45) | def noise_scaling(self, sigma, noise, latent_image, max_denoise=False):
  class BaseModel (line 49) | class BaseModel(torch.nn.Module):
    method __init__ (line 51) | def __init__(self, shift=1.0, device=None, dtype=torch.float32, state_...
    method apply_model (line 72) | def apply_model(self, x, sigma, c_crossattn=None, y=None):
    method forward (line 78) | def forward(self, *args, **kwargs):
    method get_dtype (line 81) | def get_dtype(self):
  class CFGDenoiser (line 85) | class CFGDenoiser(torch.nn.Module):
    method __init__ (line 87) | def __init__(self, model):
    method forward (line 91) | def forward(self, x, timestep, cond, uncond, cond_scale):
  class SD3LatentFormat (line 100) | class SD3LatentFormat:
    method __init__ (line 102) | def __init__(self):
    method process_in (line 106) | def process_in(self, latent):
    method process_out (line 109) | def process_out(self, latent):
    method decode_latent_to_preview (line 112) | def decode_latent_to_preview(self, x0):
  function append_dims (line 139) | def append_dims(x, target_dims):
  function to_d (line 145) | def to_d(x, sigma, denoised):
  function sample_euler (line 152) | def sample_euler(model, x, sigmas, extra_args=None):
  function Normalize (line 171) | def Normalize(in_channels, num_groups=32, dtype=torch.float32, device=No...
  class ResnetBlock (line 175) | class ResnetBlock(torch.nn.Module):
    method __init__ (line 176) | def __init__(self, *, in_channels, out_channels=None, dtype=torch.floa...
    method forward (line 192) | def forward(self, x):
  class AttnBlock (line 205) | class AttnBlock(torch.nn.Module):
    method __init__ (line 206) | def __init__(self, in_channels, dtype=torch.float32, device=None):
    method forward (line 214) | def forward(self, x):
  class Downsample (line 227) | class Downsample(torch.nn.Module):
    method __init__ (line 228) | def __init__(self, in_channels, dtype=torch.float32, device=None):
    method forward (line 232) | def forward(self, x):
  class Upsample (line 239) | class Upsample(torch.nn.Module):
    method __init__ (line 240) | def __init__(self, in_channels, dtype=torch.float32, device=None):
    method forward (line 244) | def forward(self, x):
  class VAEEncoder (line 250) | class VAEEncoder(torch.nn.Module):
    method __init__ (line 251) | def __init__(self, ch=128, ch_mult=(1,2,4,4), num_res_blocks=2, in_cha...
    method forward (line 284) | def forward(self, x):
  class VAEDecoder (line 305) | class VAEDecoder(torch.nn.Module):
    method __init__ (line 306) | def __init__(self, ch=128, out_ch=3, ch_mult=(1, 2, 4, 4), num_res_blo...
    method forward (line 338) | def forward(self, z):
  class SDVAE (line 358) | class SDVAE(torch.nn.Module):
    method __init__ (line 359) | def __init__(self, dtype=torch.float32, device=None):
    method decode (line 365) | def decode(self, latent):
    method encode (line 369) | def encode(self, image):

FILE: modules/models/sd3/sd3_model.py
  class SD3Denoiser (line 12) | class SD3Denoiser(k_diffusion.external.DiscreteSchedule):
    method __init__ (line 13) | def __init__(self, inner_model, sigmas):
    method forward (line 17) | def forward(self, input, sigma, **kwargs):
  class SD3Inferencer (line 21) | class SD3Inferencer(torch.nn.Module):
    method __init__ (line 22) | def __init__(self, state_dict, shift=3, use_ema=False):
    method cond_stage_model (line 44) | def cond_stage_model(self):
    method before_load_weights (line 47) | def before_load_weights(self, state_dict):
    method ema_scope (line 50) | def ema_scope(self):
    method get_learned_conditioning (line 53) | def get_learned_conditioning(self, batch: list[str]):
    method apply_model (line 56) | def apply_model(self, x, t, cond):
    method decode_first_stage (line 59) | def decode_first_stage(self, latent):
    method encode_first_stage (line 63) | def encode_first_stage(self, image):
    method get_first_stage_encoding (line 67) | def get_first_stage_encoding(self, x):
    method create_denoiser (line 70) | def create_denoiser(self):
    method medvram_fields (line 73) | def medvram_fields(self):
    method add_noise_to_latent (line 80) | def add_noise_to_latent(self, x, noise, amount):
    method fix_dimensions (line 83) | def fix_dimensions(self, width, height):
    method diffusers_weight_mapping (line 86) | def diffusers_weight_mapping(self):

FILE: modules/ngrok.py
  function connect (line 4) | def connect(token, port, options):

FILE: modules/npu_specific.py
  function check_for_npu (line 7) | def check_for_npu():
  function get_npu_device_string (line 20) | def get_npu_device_string():
  function torch_npu_gc (line 26) | def torch_npu_gc():

FILE: modules/options.py
  class OptionInfo (line 13) | class OptionInfo:
    method __init__ (line 14) | def __init__(self, default=None, label="", component=None, component_a...
    method link (line 36) | def link(self, label, url):
    method js (line 40) | def js(self, label, js_func):
    method info (line 44) | def info(self, info):
    method html (line 48) | def html(self, html):
    method needs_restart (line 52) | def needs_restart(self):
    method needs_reload_ui (line 56) | def needs_reload_ui(self):
  class OptionHTML (line 61) | class OptionHTML(OptionInfo):
    method __init__ (line 62) | def __init__(self, text):
  function options_section (line 68) | def options_section(section_identifier, options_dict):
  class Options (line 82) | class Options:
    method __init__ (line 85) | def __init__(self, data_labels: dict[str, OptionInfo], restricted_opts):
    method __setattr__ (line 90) | def __setattr__(self, key, value):
    method __getattr__ (line 131) | def __getattr__(self, item):
    method set (line 144) | def set(self, key, value, is_api=False, run_callbacks=True):
    method get_default (line 173) | def get_default(self, key):
    method save (line 182) | def save(self, filename):
    method same_type (line 188) | def same_type(self, x, y):
    method load (line 197) | def load(self, filename):
    method onchange (line 229) | def onchange(self, key, func, call=True):
    method dumpjson (line 236) | def dumpjson(self):
    method add_option (line 256) | def add_option(self, key, info):
    method reorder (line 261) | def reorder(self):
    method cast_value (line 297) | def cast_value(self, key, value):
  class OptionsCategory (line 321) | class OptionsCategory:
  class OptionsCategories (line 325) | class OptionsCategories:
    method __init__ (line 326) | def __init__(self):
    method register_category (line 329) | def register_category(self, category_id, label):

FILE: modules/patches.py
  function patch (line 4) | def patch(key, obj, field, replacement):
  function undo (line 32) | def undo(key, obj, field):
  function original (line 57) | def original(key, obj, field):

FILE: modules/paths.py
  function mute_sdxl_imports (line 8) | def mute_sdxl_imports():

FILE: modules/postprocessing.py
  function run_postprocessing (line 9) | def run_postprocessing(extras_mode, image, image_folder, input_dir, outp...
  function run_postprocessing_webui (line 132) | def run_postprocessing_webui(id_task, *args, **kwargs):
  function run_extras (line 136) | def run_extras(extras_mode, resize_mode, image, image_folder, input_dir,...

FILE: modules/processing.py
  function setup_color_correction (line 43) | def setup_color_correction(image):
  function apply_color_correction (line 49) | def apply_color_correction(correction, original_image):
  function uncrop (line 65) | def uncrop(image, dest_size, paste_loc):
  function apply_overlay (line 75) | def apply_overlay(image, paste_loc, overlay):
  function create_binary_mask (line 90) | def create_binary_mask(image, round=True):
  function txt2img_image_conditioning (line 100) | def txt2img_image_conditioning(sd_model, x, width, height):
  class StableDiffusionProcessing (line 137) | class StableDiffusionProcessing:
    method __post_init__ (line 228) | def __post_init__(self):
    method fill_fields_from_opts (line 254) | def fill_fields_from_opts(self):
    method sd_model (line 262) | def sd_model(self):
    method sd_model (line 266) | def sd_model(self, value):
    method scripts (line 270) | def scripts(self):
    method scripts (line 274) | def scripts(self, value):
    method script_args (line 281) | def script_args(self):
    method script_args (line 285) | def script_args(self, value):
    method setup_scripts (line 291) | def setup_scripts(self):
    method comment (line 296) | def comment(self, text):
    method txt2img_image_conditioning (line 299) | def txt2img_image_conditioning(self, x, width=None, height=None):
    method depth2img_image_conditioning (line 304) | def depth2img_image_conditioning(self, source_image):
    method edit_image_conditioning (line 323) | def edit_image_conditioning(self, source_image):
    method unclip_image_conditioning (line 328) | def unclip_image_conditioning(self, source_image):
    method inpainting_image_conditioning (line 336) | def inpainting_image_conditioning(self, source_image, latent_image, im...
    method img2img_image_conditioning (line 375) | def img2img_image_conditioning(self, source_image, latent_image, image...
    method init (line 398) | def init(self, all_prompts, all_seeds, all_subseeds):
    method sample (line 401) | def sample(self, conditioning, unconditional_conditioning, seeds, subs...
    method close (line 404) | def close(self):
    method get_token_merging_ratio (line 412) | def get_token_merging_ratio(self, for_hr=False):
    method setup_prompts (line 418) | def setup_prompts(self):
    method cached_params (line 440) | def cached_params(self, required_prompts, steps, extra_network_data, h...
    method get_conds_with_caching (line 460) | def get_conds_with_caching(self, function, required_prompts, steps, ca...
    method setup_conds (line 493) | def setup_conds(self):
    method get_conds (line 505) | def get_conds(self):
    method parse_extra_network_prompts (line 508) | def parse_extra_network_prompts(self):
    method save_samples (line 511) | def save_samples(self) -> bool:
  class Processed (line 516) | class Processed:
    method __init__ (line 517) | def __init__(self, p: StableDiffusionProcessing, images_list, seed=-1,...
    method js (line 571) | def js(self):
    method infotext (line 609) | def infotext(self, p: StableDiffusionProcessing, index):
    method get_token_merging_ratio (line 612) | def get_token_merging_ratio(self, for_hr=False):
  function create_random_tensors (line 616) | def create_random_tensors(shape, seeds, subseeds=None, subseed_strength=...
  class DecodedSamples (line 621) | class DecodedSamples(list):
  function decode_latent_batch (line 625) | def decode_latent_batch(model, batch, target_device=None, check_for_nans...
  function get_fixed_seed (line 675) | def get_fixed_seed(seed):
  function fix_seed (line 690) | def fix_seed(p):
  function program_version (line 695) | def program_version():
  function create_infotext (line 705) | def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=No...
  function process_images (line 819) | def process_images(p: StableDiffusionProcessing) -> Processed:
  function process_images_inner (line 863) | def process_images_inner(p: StableDiffusionProcessing) -> Processed:
  function old_hires_fix_first_pass_dimensions (line 1153) | def old_hires_fix_first_pass_dimensions(width, height):
  class StableDiffusionProcessingTxt2Img (line 1166) | class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
    method __post_init__ (line 1201) | def __post_init__(self):
    method calculate_target_resolution (line 1213) | def calculate_target_resolution(self):
    method init (line 1252) | def init(self, all_prompts, all_seeds, all_subseeds):
    method sample (line 1307) | def sample(self, conditioning, unconditional_conditioning, seeds, subs...
    method sample_hr_pass (line 1364) | def sample_hr_pass(self, samples, decoded_samples, seeds, subseeds, su...
    method close (line 1466) | def close(self):
    method setup_prompts (line 1474) | def setup_prompts(self):
    method calculate_hr_conds (line 1499) | def calculate_hr_conds(self):
    method setup_conds (line 1513) | def setup_conds(self):
    method get_conds (line 1538) | def get_conds(self):
    method parse_extra_network_prompts (line 1544) | def parse_extra_network_prompts(self):
  class StableDiffusionProcessingImg2Img (line 1557) | class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
    method __post_init__ (line 1583) | def __post_init__(self):
    method mask_blur (line 1591) | def mask_blur(self):
    method mask_blur (line 1597) | def mask_blur(self, value):
    method init (line 1602) | def init(self, all_prompts, all_seeds, all_subseeds):
    method sample (line 1759) | def sample(self, conditioning, unconditional_conditioning, seeds, subs...
    method get_token_merging_ratio (line 1791) | def get_token_merging_ratio(self, for_hr=False):

FILE: modules/processing_scripts/comments.py
  function strip_comments (line 5) | def strip_comments(text):
  class ScriptStripComments (line 12) | class ScriptStripComments(scripts.Script):
    method title (line 13) | def title(self):
    method show (line 16) | def show(self, is_img2img):
    method process (line 19) | def process(self, p, *args):
  function before_token_counter (line 37) | def before_token_counter(params: script_callbacks.BeforeTokenCounterPara...

FILE: modules/processing_scripts/refiner.py
  class ScriptRefiner (line 9) | class ScriptRefiner(scripts.ScriptBuiltinUI):
    method __init__ (line 13) | def __init__(self):
    method title (line 16) | def title(self):
    method show (line 19) | def show(self, is_img2img):
    method ui (line 22) | def ui(self, is_img2img):
    method setup (line 42) | def setup(self, p, enable_refiner, refiner_checkpoint, refiner_switch_...

FILE: modules/processing_scripts/sampler.py
  class ScriptSampler (line 8) | class ScriptSampler(scripts.ScriptBuiltinUI):
    method __init__ (line 11) | def __init__(self):
    method title (line 16) | def title(self):
    method ui (line 19) | def ui(self, is_img2img):
    method setup (line 42) | def setup(self, p, steps, sampler_name, scheduler):

FILE: modules/processing_scripts/seed.py
  class ScriptSeed (line 12) | class ScriptSeed(scripts.ScriptBuiltinUI):
    method __init__ (line 16) | def __init__(self):
    method title (line 21) | def title(self):
    method show (line 24) | def show(self, is_img2img):
    method ui (line 27) | def ui(self, is_img2img):
    method setup (line 69) | def setup(self, p, seed, seed_checkbox, subseed, subseed_strength, see...
  function connect_reuse_seed (line 81) | def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generatio...

FILE: modules/profiling.py
  class Profiler (line 6) | class Profiler:
    method __init__ (line 7) | def __init__(self):
    method __enter__ (line 29) | def __enter__(self):
    method __exit__ (line 35) | def __exit__(self, exc_type, exc, exc_tb):
  function webpath (line 44) | def webpath():

FILE: modules/progress.py
  function start_task (line 23) | def start_task(id_task):
  function finish_task (line 30) | def finish_task(id_task):
  function create_task_id (line 40) | def create_task_id(task_type):
  function record_results (line 46) | def record_results(id_task, res):
  function add_task_to_queue (line 52) | def add_task_to_queue(id_job):
  class PendingTasksResponse (line 55) | class PendingTasksResponse(BaseModel):
  class ProgressRequest (line 59) | class ProgressRequest(BaseModel):
  class ProgressResponse (line 65) | class ProgressResponse(BaseModel):
  function setup_progress_api (line 76) | def setup_progress_api(app):
  function get_pending_tasks (line 81) | def get_pending_tasks():
  function progressapi (line 87) | def progressapi(req: ProgressRequest):
  function restore_progress (line 144) | def restore_progress(id_task):

FILE: modules/prompt_parser.py
  function get_learned_conditioning_prompt_schedules (line 28) | def get_learned_conditioning_prompt_schedules(prompts, base_steps, hires...
  class SdConditioning (line 139) | class SdConditioning(list):
    method __init__ (line 144) | def __init__(self, prompts, is_negative_prompt=False, width=None, heig...
  function get_learned_conditioning (line 157) | def get_learned_conditioning(model, prompts: SdConditioning | list[str],...
  function get_multicond_prompt_list (line 209) | def get_multicond_prompt_list(prompts: SdConditioning | list[str]):
  class ComposableScheduledPromptConditioning (line 240) | class ComposableScheduledPromptConditioning:
    method __init__ (line 241) | def __init__(self, schedules, weight=1.0):
  class MulticondLearnedConditioning (line 246) | class MulticondLearnedConditioning:
    method __init__ (line 247) | def __init__(self, shape, batch):
  function get_multicond_learned_conditioning (line 252) | def get_multicond_learned_conditioning(model, prompts, steps, hires_step...
  class DictWithShape (line 270) | class DictWithShape(dict):
    method __init__ (line 271) | def __init__(self, x, shape=None):
    method shape (line 276) | def shape(self):
  function reconstruct_cond_batch (line 280) | def reconstruct_cond_batch(c: list[list[ScheduledPromptConditioning]], c...
  function stack_conds (line 307) | def stack_conds(tensors):
  function reconstruct_multicond_batch (line 321) | def reconstruct_multicond_batch(c: MulticondLearnedConditioning, current...
  function parse_prompt_attention (line 370) | def parse_prompt_attention(text):

FILE: modules/realesrgan_model.py
  class UpscalerRealESRGAN (line 9) | class UpscalerRealESRGAN(Upscaler):
    method __init__ (line 10) | def __init__(self, path):
    method do_upscale (line 29) | def do_upscale(self, img, path):
    method load_model (line 53) | def load_model(self, path):
  function get_realesrgan_models (line 67) | def get_realesrgan_models(scaler: UpscalerRealESRGAN):

FILE: modules/restart.py
  function is_restartable (line 7) | def is_restartable() -> bool:
  function restart_program (line 14) | def restart_program() -> None:
  function stop_program (line 24) | def stop_program() -> None:

FILE: modules/rng.py
  function randn (line 6) | def randn(seed, shape, generator=None):
  function randn_local (line 22) | def randn_local(seed, shape):
  function randn_like (line 36) | def randn_like(x):
  function randn_without_seed (line 50) | def randn_without_seed(shape, generator=None):
  function manual_seed (line 64) | def manual_seed(seed):
  function create_generator (line 75) | def create_generator(seed):
  function slerp (line 85) | def slerp(val, low, high):
  class ImageRNG (line 99) | class ImageRNG:
    method __init__ (line 100) | def __init__(self, shape, seeds, subseeds=None, subseed_strength=0.0, ...
    method first (line 112) | def first(self):
    method next (line 153) | def next(self):

FILE: modules/rng_philox.py
  function uint32 (line 27) | def uint32(x):
  function philox4_round (line 32) | def philox4_round(counter, key):
  function philox4_32 (line 44) | def philox4_32(counter, key, rounds=10):
  function box_muller (line 66) | def box_muller(x, y):
  class Generator (line 77) | class Generator:
    method __init__ (line 80) | def __init__(self, seed):
    method randn (line 84) | def randn(self, shape):

FILE: modules/safe.py
  function encode (line 18) | def encode(*args):
  class RestrictedUnpickler (line 23) | class RestrictedUnpickler(pickle.Unpickler):
    method persistent_load (line 26) | def persistent_load(self, saved_id):
    method find_class (line 34) | def find_class(self, module, name):
  function check_zip_filenames (line 71) | def check_zip_filenames(filename, names):
  function check_pt (line 79) | def check_pt(filename, extra_handler):
  function load (line 107) | def load(filename, *args, **kwargs):
  function load_with_extra (line 111) | def load_with_extra(filename, extra_handler=None, *args, **kwargs):
  class Extra (line 159) | class Extra:
    method __init__ (line 179) | def __init__(self, handler):
    method __enter__ (line 182) | def __enter__(self):
    method __exit__ (line 188) | def __exit__(self, exc_type, exc_val, exc_tb):

FILE: modules/script_callbacks.py
  function report_exception (line 14) | def report_exception(c, job):
  class ImageSaveParams (line 18) | class ImageSaveParams:
    method __init__ (line 19) | def __init__(self, image, p, filename, pnginfo):
  class ExtraNoiseParams (line 33) | class ExtraNoiseParams:
    method __init__ (line 34) | def __init__(self, noise, x, xi):
  class CFGDenoiserParams (line 45) | class CFGDenoiserParams:
    method __init__ (line 46) | def __init__(self, x, image_cond, sigma, sampling_step, total_sampling...
  class CFGDenoisedParams (line 72) | class CFGDenoisedParams:
    method __init__ (line 73) | def __init__(self, x, sampling_step, total_sampling_steps, inner_model):
  class AfterCFGCallbackParams (line 87) | class AfterCFGCallbackParams:
    method __init__ (line 88) | def __init__(self, x, sampling_step, total_sampling_steps):
  class UiTrainTabParams (line 99) | class UiTrainTabParams:
    method __init__ (line 100) | def __init__(self, txt2img_preview_params):
  class ImageGridLoopParams (line 104) | class ImageGridLoopParams:
    method __init__ (line 105) | def __init__(self, imgs, cols, rows):
  class BeforeTokenCounterParams (line 112) | class BeforeTokenCounterParams:
  class ScriptCallback (line 121) | class ScriptCallback:
  function add_callback (line 127) | def add_callback(callbacks, fun, *, name=None, category='unknown', filen...
  function sort_callbacks (line 150) | def sort_callbacks(category, unordered_callbacks, *, enable_user_sort=Tr...
  function ordered_callbacks (line 194) | def ordered_callbacks(category, unordered_callbacks=None, *, enable_user...
  function enumerate_callbacks (line 211) | def enumerate_callbacks():
  function clear_callbacks (line 246) | def clear_callbacks():
  function app_started_callback (line 253) | def app_started_callback(demo: Optional[Blocks], app: FastAPI):
  function app_reload_callback (line 262) | def app_reload_callback():
  function model_loaded_callback (line 270) | def model_loaded_callback(sd_model):
  function ui_tabs_callback (line 278) | def ui_tabs_callback():
  function ui_train_tabs_callback (line 290) | def ui_train_tabs_callback(params: UiTrainTabParams):
  function ui_settings_callback (line 298) | def ui_settings_callback():
  function before_image_saved_callback (line 306) | def before_image_saved_callback(params: ImageSaveParams):
  function image_saved_callback (line 314) | def image_saved_callback(params: ImageSaveParams):
  function extra_noise_callback (line 322) | def extra_noise_callback(params: ExtraNoiseParams):
  function cfg_denoiser_callback (line 330) | def cfg_denoiser_callback(params: CFGDenoiserParams):
  function cfg_denoised_callback (line 338) | def cfg_denoised_callback(params: CFGDenoisedParams):
  function cfg_after_cfg_callback (line 346) | def cfg_after_cfg_callback(params: AfterCFGCallbackParams):
  function before_component_callback (line 354) | def before_component_callback(component, **kwargs):
  function after_component_callback (line 362) | def after_component_callback(component, **kwargs):
  function image_grid_callback (line 370) | def image_grid_callback(params: ImageGridLoopParams):
  function infotext_pasted_callback (line 378) | def infotext_pasted_callback(infotext: str, params: dict[str, Any]):
  function script_unloaded_callback (line 386) | def script_unloaded_callback():
  function before_ui_callback (line 394) | def before_ui_callback():
  function list_optimizers_callback (line 402) | def list_optimizers_callback():
  function list_unets_callback (line 414) | def list_unets_callback():
  function before_token_counter_callback (line 426) | def before_token_counter_callback(params: BeforeTokenCounterParams):
  function remove_current_script_callbacks (line 434) | def remove_current_script_callbacks():
  function remove_callbacks_for_function (line 447) | def remove_callbacks_for_function(callback_func):
  function on_app_started (line 456) | def on_app_started(callback, *, name=None):
  function on_before_reload (line 462) | def on_before_reload(callback, *, name=None):
  function on_model_loaded (line 467) | def on_model_loaded(callback, *, name=None):
  function on_ui_tabs (line 473) | def on_ui_tabs(callback, *, name=None):
  function on_ui_train_tabs (line 486) | def on_ui_train_tabs(callback, *, name=None):
  function on_ui_settings (line 493) | def on_ui_settings(callback, *, name=None):
  function on_before_image_saved (line 499) | def on_before_image_saved(callback, *, name=None):
  function on_image_saved (line 507) | def on_image_saved(callback, *, name=None):
  function on_extra_noise (line 515) | def on_extra_noise(callback, *, name=None):
  function on_cfg_denoiser (line 523) | def on_cfg_denoiser(callback, *, name=None):
  function on_cfg_denoised (line 531) | def on_cfg_denoised(callback, *, name=None):
  function on_cfg_after_cfg (line 539) | def on_cfg_after_cfg(callback, *, name=None):
  function on_before_component (line 547) | def on_before_component(callback, *, name=None):
  function on_after_component (line 559) | def on_after_component(callback, *, name=None):
  function on_image_grid (line 564) | def on_image_grid(callback, *, name=None):
  function on_infotext_pasted (line 572) | def on_infotext_pasted(callback, *, name=None):
  function on_script_unloaded (line 581) | def on_script_unloaded(callback, *, name=None):
  function on_before_ui (line 588) | def on_before_ui(callback, *, name=None):
  function on_list_optimizers (line 594) | def on_list_optimizers(callback, *, name=None):
  function on_list_unets (line 602) | def on_list_unets(callback, *, name=None):
  function on_before_token_counter (line 609) | def on_before_token_counter(callback, *, name=None):

FILE: modules/script_loading.py
  function load_module (line 10) | def load_module(path):
  function preload_extensions (line 19) | def preload_extensions(extensions_dir, parser, extension_list=None):

FILE: modules/scripts.py
  class MaskBlendArgs (line 16) | class MaskBlendArgs:
    method __init__ (line 17) | def __init__(self, current_latent, nmask, init_latent, mask, blended_l...
  class PostSampleArgs (line 28) | class PostSampleArgs:
    method __init__ (line 29) | def __init__(self, samples):
  class PostprocessImageArgs (line 32) | class PostprocessImageArgs:
    method __init__ (line 33) | def __init__(self, image):
  class PostProcessMaskOverlayArgs (line 36) | class PostProcessMaskOverlayArgs:
    method __init__ (line 37) | def __init__(self, index, mask_for_overlay, overlay_image):
  class PostprocessBatchListArgs (line 42) | class PostprocessBatchListArgs:
    method __init__ (line 43) | def __init__(self, images):
  class OnComponent (line 48) | class OnComponent:
  class Script (line 52) | class Script:
    method title (line 99) | def title(self):
    method ui (line 104) | def ui(self, is_img2img):
    method show (line 112) | def show(self, is_img2img):
    method run (line 124) | def run(self, p, *args):
    method setup (line 137) | def setup(self, p, *args):
    method before_process (line 143) | def before_process(self, p, *args):
    method process (line 152) | def process(self, p, *args):
    method before_process_batch (line 161) | def before_process_batch(self, p, *args, **kwargs):
    method after_extra_networks_activate (line 175) | def after_extra_networks_activate(self, p, *args, **kwargs):
    method process_before_every_sampling (line 190) | def process_before_every_sampling(self, p, *args, **kwargs):
    method process_batch (line 197) | def process_batch(self, p, *args, **kwargs):
    method postprocess_batch (line 210) | def postprocess_batch(self, p, *args, **kwargs):
    method postprocess_batch_list (line 221) | def postprocess_batch_list(self, p, pp: PostprocessBatchListArgs, *arg...
    method on_mask_blend (line 240) | def on_mask_blend(self, p, mba: MaskBlendArgs, *args):
    method post_sample (line 250) | def post_sample(self, p, ps: PostSampleArgs, *args):
    method postprocess_image (line 259) | def postprocess_image(self, p, pp: PostprocessImageArgs, *args):
    method postprocess_maskoverlay (line 266) | def postprocess_maskoverlay(self, p, ppmo: PostProcessMaskOverlayArgs,...
    method postprocess_image_after_composite (line 273) | def postprocess_image_after_composite(self, p, pp: PostprocessImageArg...
    method postprocess (line 282) | def postprocess(self, p, processed, *args):
    method before_component (line 290) | def before_component(self, component, **kwargs):
    method after_component (line 300) | def after_component(self, component, **kwargs):
    method on_before_component (line 307) | def on_before_component(self, callback, *, elem_id):
    method on_after_component (line 321) | def on_after_component(self, callback, *, elem_id):
    method describe (line 330) | def describe(self):
    method elem_id (line 334) | def elem_id(self, item_id):
    method before_hr (line 344) | def before_hr(self, p, *args):
  class ScriptBuiltinUI (line 351) | class ScriptBuiltinUI(Script):
    method elem_id (line 354) | def elem_id(self, item_id):
    method show (line 362) | def show(self, is_img2img):
  function basedir (line 369) | def basedir():
  class ScriptWithDependencies (line 385) | class ScriptWithDependencies:
  function list_scripts (line 393) | def list_scripts(scriptdirname, extension, *, include_extensions=True):
  function list_files_with_name (line 471) | def list_files_with_name(filename):
  function load_scripts (line 487) | def load_scripts():
  function wrap_call (line 533) | def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
  class ScriptRunner (line 542) | class ScriptRunner:
    method __init__ (line 543) | def __init__(self):
    method initialize_scripts (line 578) | def initialize_scripts(self, is_img2img):
    method apply_on_before_component_callbacks (line 614) | def apply_on_before_component_callbacks(self):
    method create_script_ui (line 634) | def create_script_ui(self, script):
    method create_script_ui_inner (line 644) | def create_script_ui_inner(self, script):
    method setup_ui_for_section (line 689) | def setup_ui_for_section(self, section, scriptlist=None):
    method prepare_ui (line 705) | def prepare_ui(self):
    method setup_ui (line 708) | def setup_ui(self):
    method run (line 768) | def run(self, p, *args):
    method list_scripts_for_method (line 786) | def list_scripts_for_method(self, method_name):
    method create_ordered_callbacks_list (line 792) | def create_ordered_callbacks_list(self,  method_name, *, enable_user_s...
    method ordered_callbacks (line 805) | def ordered_callbacks(self, method_name, *, enable_user_sort=True):
    method ordered_scripts (line 817) | def ordered_scripts(self, method_name):
    method before_process (line 820) | def before_process(self, p):
    method process (line 828) | def process(self, p):
    method process_before_every_sampling (line 836) | def process_before_every_sampling(self, p, **kwargs):
    method before_process_batch (line 844) | def before_process_batch(self, p, **kwargs):
    method after_extra_networks_activate (line 852) | def after_extra_networks_activate(self, p, **kwargs):
    method process_batch (line 860) | def process_batch(self, p, **kwargs):
    method postprocess (line 868) | def postprocess(self, p, processed):
    method postprocess_batch (line 876) | def postprocess_batch(self, p, images, **kwargs):
    method postprocess_batch_list (line 884) | def postprocess_batch_list(self, p, pp: PostprocessBatchListArgs, **kw...
    method post_sample (line 892) | def post_sample(self, p, ps: PostSampleArgs):
    method on_mask_blend (line 900) | def on_mask_blend(self, p, mba: MaskBlendArgs):
    method postprocess_image (line 908) | def postprocess_image(self, p, pp: PostprocessImageArgs):
    method postprocess_maskoverlay (line 916) | def postprocess_maskoverlay(self, p, ppmo: PostProcessMaskOverlayArgs):
    method postprocess_image_after_composite (line 924) | def postprocess_image_after_composite(self, p, pp: PostprocessImageArgs):
    method before_component (line 932) | def before_component(self, component, **kwargs):
    method after_component (line 945) | def after_component(self, component, **kwargs):
    method script (line 958) | def script(self, title):
    method reload_sources (line 961) | def reload_sources(self, cache):
    method before_hr (line 979) | def before_hr(self, p):
    method setup_scrips (line 987) | def setup_scrips(self, p, *, is_ui=True):
    method set_named_arg (line 998) | def set_named_arg(self, args, script_name, arg_elem_id, value, fuzzy=F...
  function reload_script_body_only (line 1034) | def reload_script_body_only():

FILE: modules/scripts_auto_postprocessing.py
  class ScriptPostprocessingForMainUI (line 4) | class ScriptPostprocessingForMainUI(scripts.Script):
    method __init__ (line 5) | def __init__(self, script_postproc):
    method title (line 9) | def title(self):
    method show (line 12) | def show(self, is_img2img):
    method ui (line 15) | def ui(self, is_img2img):
    method postprocess_image (line 19) | def postprocess_image(self, p, script_pp, *args):
  function create_auto_preprocessing_script_data (line 29) | def create_auto_preprocessing_script_data():

FILE: modules/scripts_postprocessing.py
  class PostprocessedImageSharedInfo (line 9) | class PostprocessedImageSharedInfo:
  class PostprocessedImage (line 14) | class PostprocessedImage:
    method __init__ (line 15) | def __init__(self, image):
    method get_suffix (line 24) | def get_suffix(self, used_suffixes=None):
    method create_copy (line 43) | def create_copy(self, new_image, *, nametags=None, disable_processing=...
  class ScriptPostprocessing (line 56) | class ScriptPostprocessing:
    method ui (line 71) | def ui(self):
    method process (line 80) | def process(self, pp: PostprocessedImage, **args):
    method process_firstpass (line 88) | def process_firstpass(self, pp: PostprocessedImage, **args):
    method image_changed (line 97) | def image_changed(self):
  function wrap_call (line 101) | def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
  class ScriptPostprocessingRunner (line 111) | class ScriptPostprocessingRunner:
    method __init__ (line 112) | def __init__(self):
    method initialize_scripts (line 116) | def initialize_scripts(self, scripts_data):
    method create_script_ui (line 128) | def create_script_ui(self, script, inputs):
    method scripts_in_preferred_order (line 140) | def scripts_in_preferred_order(self):
    method setup_ui (line 160) | def setup_ui(self):
    method run (line 172) | def run(self, pp: PostprocessedImage, args):
    method create_args_for_run (line 210) | def create_args_for_run(self, scripts_args):
    method image_changed (line 227) | def image_changed(self):

FILE: modules/sd_disable_initialization.py
  class ReplaceHelper (line 9) | class ReplaceHelper:
    method __init__ (line 10) | def __init__(self):
    method replace (line 13) | def replace(self, obj, field, func):
    method restore (line 23) | def restore(self):
  class DisableInitialization (line 30) | class DisableInitialization(ReplaceHelper):
    method __init__ (line 46) | def __init__(self, disable_clip=True):
    method replace (line 50) | def replace(self, obj, field, func):
    method __enter__ (line 60) | def __enter__(self):
    method __exit__ (line 111) | def __exit__(self, exc_type, exc_val, exc_tb):
  class InitializeOnMeta (line 115) | class InitializeOnMeta(ReplaceHelper):
    method __enter__ (line 128) | def __enter__(self):
    method __exit__ (line 141) | def __exit__(self, exc_type, exc_val, exc_tb):
  class LoadStateDictOnMeta (line 145) | class LoadStateDictOnMeta(ReplaceHelper):
    method __init__ (line 158) | def __init__(self, state_dict, device, weight_dtype_conversion=None):
    method get_weight_dtype (line 165) | def get_weight_dtype(self, key):
    method __enter__ (line 169) | def __enter__(self):
    method __exit__ (line 231) | def __exit__(self, exc_type, exc_val, exc_tb):

FILE: modules/sd_emphasis.py
  class Emphasis (line 5) | class Emphasis:
    method after_transformers (line 20) | def after_transformers(self):
  class EmphasisNone (line 26) | class EmphasisNone(Emphasis):
  class EmphasisIgnore (line 31) | class EmphasisIgnore(Emphasis):
  class EmphasisOriginal (line 36) | class EmphasisOriginal(Emphasis):
    method after_transformers (line 40) | def after_transformers(self):
  class EmphasisOriginalNoNorm (line 49) | class EmphasisOriginalNoNorm(EmphasisOriginal):
    method after_transformers (line 53) | def after_transformers(self):
  function get_current_option (line 57) | def get_current_option(emphasis_option_name):
  function get_options_descriptions (line 61) | def get_options_descriptions():

FILE: modules/sd_hijack.py
  function list_optimizers (line 48) | def list_optimizers():
  function apply_optimizations (line 59) | def apply_optimizations(option=None):
  function undo_optimizations (line 103) | def undo_optimizations():
  function fix_checkpoint (line 113) | def fix_checkpoint():
  function weighted_loss (line 120) | def weighted_loss(sd_model, pred, target, mean=True):
  function weighted_forward (line 132) | def weighted_forward(sd_model, x, c, w, *args, **kwargs):
  function apply_weighted_forward (line 157) | def apply_weighted_forward(sd_model):
  function undo_weighted_forward (line 161) | def undo_weighted_forward(sd_model):
  class StableDiffusionModelHijack (line 168) | class StableDiffusionModelHijack:
    method __init__ (line 175) | def __init__(self):
    method apply_optimizations (line 184) | def apply_optimizations(self, option=None):
    method convert_sdxl_to_ssd (line 191) | def convert_sdxl_to_ssd(self, m):
    method hijack (line 205) | def hijack(self, m):
    method undo_hijack (line 275) | def undo_hijack(self, m):
    method apply_circular (line 311) | def apply_circular(self, enable):
    method clear_comments (line 320) | def clear_comments(self):
    method get_prompt_lengths (line 324) | def get_prompt_lengths(self, text):
    method redo_hijack (line 335) | def redo_hijack(self, m):
  class EmbeddingsWithFixes (line 340) | class EmbeddingsWithFixes(torch.nn.Module):
    method __init__ (line 341) | def __init__(self, wrapped, embeddings, textual_inversion_key='clip_l'):
    method forward (line 347) | def forward(self, input_ids):
  class TextualInversionEmbeddings (line 369) | class TextualInversionEmbeddings(torch.nn.Embedding):
    method __init__ (line 370) | def __init__(self, num_embeddings: int, embedding_dim: int, textual_in...
    method wrapped (line 377) | def wrapped(self):
    method forward (line 380) | def forward(self, input_ids):
  function add_circular_option_to_conv_2d (line 384) | def add_circular_option_to_conv_2d():
  function register_buffer (line 396) | def register_buffer(self, name, attr):

FILE: modules/sd_hijack_checkpoint.py
  function BasicTransformerBlock_forward (line 7) | def BasicTransformerBlock_forward(self, x, context=None):
  function AttentionBlock_forward (line 11) | def AttentionBlock_forward(self, x):
  function ResBlock_forward (line 15) | def ResBlock_forward(self, x, emb):
  function add (line 22) | def add():
  function remove (line 37) | def remove():

FILE: modules/sd_hijack_clip.py
  class PromptChunk (line 10) | class PromptChunk:
    method __init__ (line 18) | def __init__(self):
  class TextConditionalModel (line 30) | class TextConditionalModel(torch.nn.Module):
    method __init__ (line 31) | def __init__(self):
    method empty_chunk (line 46) | def empty_chunk(self):
    method get_target_prompt_token_count (line 54) | def get_target_prompt_token_count(self, token_count):
    method tokenize (line 59) | def tokenize(self, texts):
    method encode_with_transformers (line 64) | def encode_with_transformers(self, tokens):
    method encode_embedding_init_text (line 75) | def encode_embedding_init_text(self, init_text, nvpt):
    method tokenize_line (line 81) | def tokenize_line(self, line):
    method process_texts (line 176) | def process_texts(self, texts):
    method forward (line 199) | def forward(self, texts):
    method process_tokens (line 253) | def process_tokens(self, remade_batch_tokens, batch_multipliers):
  class FrozenCLIPEmbedderWithCustomWordsBase (line 288) | class FrozenCLIPEmbedderWithCustomWordsBase(TextConditionalModel):
    method __init__ (line 293) | def __init__(self, wrapped, hijack):
    method forward (line 308) | def forward(self, texts):
  class FrozenCLIPEmbedderWithCustomWords (line 316) | class FrozenCLIPEmbedderWithCustomWords(FrozenCLIPEmbedderWithCustomWord...
    method __init__ (line 317) | def __init__(self, wrapped, hijack):
    method tokenize (line 346) | def tokenize(self, texts):
    method encode_with_transformers (line 351) | def encode_with_transformers(self, tokens):
    method encode_embedding_init_text (line 362) | def encode_embedding_init_text(self, init_text, nvpt):
  class FrozenCLIPEmbedderForSDXLWithCustomWords (line 370) | class FrozenCLIPEmbedderForSDXLWithCustomWords(FrozenCLIPEmbedderWithCus...
    method __init__ (line 371) | def __init__(self, wrapped, hijack):
    method encode_with_transformers (line 374) | def encode_with_transformers(self, tokens):

FILE: modules/sd_hijack_clip_old.py
  function process_text_old (line 5) | def process_text_old(self: sd_hijack_clip.FrozenCLIPEmbedderWithCustomWo...
  function forward_old (line 72) | def forward_old(self: sd_hijack_clip.FrozenCLIPEmbedderWithCustomWordsBa...

FILE: modules/sd_hijack_ip2p.py
  function should_hijack_ip2p (line 4) | def should_hijack_ip2p(checkpoint_info):

FILE: modules/sd_hijack_open_clip.py
  class FrozenOpenCLIPEmbedderWithCustomWords (line 10) | class FrozenOpenCLIPEmbedderWithCustomWords(sd_hijack_clip.FrozenCLIPEmb...
    method __init__ (line 11) | def __init__(self, wrapped, hijack):
    method tokenize (line 19) | def tokenize(self, texts):
    method encode_with_transformers (line 26) | def encode_with_transformers(self, tokens):
    method encode_embedding_init_text (line 32) | def encode_embedding_init_text(self, init_text, nvpt):
  class FrozenOpenCLIPEmbedder2WithCustomWords (line 40) | class FrozenOpenCLIPEmbedder2WithCustomWords(sd_hijack_clip.FrozenCLIPEm...
    method __init__ (line 41) | def __init__(self, wrapped, hijack):
    method tokenize (line 49) | def tokenize(self, texts):
    method encode_with_transformers (line 56) | def encode_with_transformers(self, tokens):
    method encode_embedding_init_text (line 66) | def encode_embedding_init_text(self, init_text, nvpt):

FILE: modules/sd_hijack_optimizations.py
  class SdOptimization (line 25) | class SdOptimization:
    method title (line 31) | def title(self):
    method is_available (line 37) | def is_available(self):
    method apply (line 40) | def apply(self):
    method undo (line 43) | def undo(self):
  class SdOptimizationXformers (line 51) | class SdOptimizationXformers(SdOptimization):
    method is_available (line 56) | def is_available(self):
    method apply (line 59) | def apply(self):
  class SdOptimizationSdpNoMem (line 66) | class SdOptimizationSdpNoMem(SdOptimization):
    method is_available (line 72) | def is_available(self):
    method apply (line 75) | def apply(self):
  class SdOptimizationSdp (line 82) | class SdOptimizationSdp(SdOptimizationSdpNoMem):
    method apply (line 88) | def apply(self):
  class SdOptimizationSubQuad (line 95) | class SdOptimizationSubQuad(SdOptimization):
    method priority (line 100) | def priority(self):
    method apply (line 103) | def apply(self):
  class SdOptimizationV1 (line 110) | class SdOptimizationV1(SdOptimization):
    method apply (line 116) | def apply(self):
  class SdOptimizationInvokeAI (line 121) | class SdOptimizationInvokeAI(SdOptimization):
    method priority (line 126) | def priority(self):
    method apply (line 129) | def apply(self):
  class SdOptimizationDoggettx (line 134) | class SdOptimizationDoggettx(SdOptimization):
    method apply (line 139) | def apply(self):
  function list_optimizers (line 146) | def list_optimizers(res):
  function get_available_vram (line 166) | def get_available_vram():
  function split_cross_attention_forward_v1 (line 180) | def split_cross_attention_forward_v1(self, x, context=None, mask=None, *...
  function split_cross_attention_forward (line 221) | def split_cross_attention_forward(self, x, context=None, mask=None, **kw...
  function einsum_op_compvis (line 288) | def einsum_op_compvis(q, k, v):
  function einsum_op_slice_0 (line 294) | def einsum_op_slice_0(q, k, v, slice_size):
  function einsum_op_slice_1 (line 302) | def einsum_op_slice_1(q, k, v, slice_size):
  function einsum_op_mps_v1 (line 310) | def einsum_op_mps_v1(q, k, v):
  function einsum_op_mps_v2 (line 320) | def einsum_op_mps_v2(q, k, v):
  function einsum_op_tensor_mem (line 327) | def einsum_op_tensor_mem(q, k, v, max_tensor_mb):
  function einsum_op_cuda (line 337) | def einsum_op_cuda(q, k, v):
  function einsum_op (line 348) | def einsum_op(q, k, v):
  function split_cross_attention_forward_invokeAI (line 362) | def split_cross_attention_forward_invokeAI(self, x, context=None, mask=N...
  function sub_quad_attention_forward (line 390) | def sub_quad_attention_forward(self, x, context=None, mask=None, **kwargs):
  function sub_quad_attention (line 427) | def sub_quad_attention(q, k, v, q_chunk_size=1024, kv_chunk_size=None, k...
  function get_xformers_flash_attention_op (line 465) | def get_xformers_flash_attention_op(q, k, v):
  function xformers_attention_forward (line 480) | def xformers_attention_forward(self, x, context=None, mask=None, **kwargs):
  function scaled_dot_product_attention_forward (line 508) | def scaled_dot_product_attention_forward(self, x, context=None, mask=Non...
  function scaled_dot_product_no_mem_attention_forward (line 549) | def scaled_dot_product_no_mem_attention_forward(self, x, context=None, m...
  function cross_attention_attnblock_forward (line 554) | def cross_attention_attnblock_forward(self, x):
  function xformers_attnblock_forward (line 613) | def xformers_attnblock_forward(self, x):
  function sdp_attnblock_forward (line 637) | def sdp_attnblock_forward(self, x):
  function sdp_no_mem_attnblock_forward (line 658) | def sdp_no_mem_attnblock_forward(self, x):
  function sub_quad_attnblock_forward (line 663) | def sub_quad_attnblock_forward(self, x):

FILE: modules/sd_hijack_unet.py
  class TorchHijackForUnet (line 10) | class TorchHijackForUnet:
    method __getattr__ (line 16) | def __getattr__(self, item):
    method cat (line 25) | def cat(self, tensors, *args, **kwargs):
  function apply_model (line 40) | def apply_model(orig_func, self, x_noisy, t, cond, **kwargs):
  function timestep_embedding (line 58) | def timestep_embedding(_, timesteps, dim, max_period=10000, repeat_only=...
  function spatial_transformer_forward (line 83) | def spatial_transformer_forward(_, self, x: torch.Tensor, context=None):
  class GELUHijack (line 105) | class GELUHijack(torch.nn.GELU, torch.nn.Module):
    method __init__ (line 106) | def __init__(self, *args, **kwargs):
    method forward (line 108) | def forward(self, x):
  function hijack_ddpm_edit (line 116) | def hijack_ddpm_edit():
  function timestep_embedding_cast_result (line 145) | def timestep_embedding_cast_result(orig_func, timesteps, *args, **kwargs):

FILE: modules/sd_hijack_utils.py
  class CondFunc (line 7) | class CondFunc:
    method __new__ (line 8) | def __new__(cls, orig_func, sub_func, cond_func=always_true_func):
    method __init__ (line 28) | def __init__(self, orig_func, sub_func, cond_func):
    method __call__ (line 32) | def __call__(self, *args, **kwargs):

FILE: modules/sd_hijack_xlmr.py
  class FrozenXLMREmbedderWithCustomWords (line 6) | class FrozenXLMREmbedderWithCustomWords(sd_hijack_clip.FrozenCLIPEmbedde...
    method __init__ (line 7) | def __init__(self, wrapped, hijack):
    method encode_with_transformers (line 16) | def encode_with_transformers(self, tokens):
    method encode_embedding_init_text (line 27) | def encode_embedding_init_text(self, init_text, nvpt):

FILE: modules/sd_models.py
  class ModelType (line 30) | class ModelType(enum.Enum):
  function replace_key (line 38) | def replace_key(d, key, new_key, value):
  class CheckpointInfo (line 56) | class CheckpointInfo:
    method __init__ (line 57) | def __init__(self, filename):
    method register (line 102) | def register(self):
    method calculate_shorthash (line 107) | def calculate_shorthash(self):
  function setup_model (line 140) | def setup_model():
  function checkpoint_tiles (line 149) | def checkpoint_tiles(use_short=False):
  function list_models (line 153) | def list_models():
  function get_closet_checkpoint_match (line 183) | def get_closet_checkpoint_match(search_string):
  function model_hash (line 203) | def model_hash(filename):
  function select_checkpoint (line 218) | def select_checkpoint():
  function transform_checkpoint_dict_key (line 254) | def transform_checkpoint_dict_key(k, replacements):
  function get_state_dict_from_checkpoint (line 262) | def get_state_dict_from_checkpoint(pl_sd):
  function read_metadata_from_safetensors (line 284) | def read_metadata_from_safetensors(filename):
  function read_state_dict (line 312) | def read_state_dict(checkpoint_file, print_global_state=False, map_locat...
  function get_checkpoint_state_dict (line 332) | def get_checkpoint_state_dict(checkpoint_info: CheckpointInfo, timer):
  class SkipWritingToConfig (line 350) | class SkipWritingToConfig:
    method __enter__ (line 356) | def __enter__(self):
    method __exit__ (line 361) | def __exit__(self, exc_type, exc_value, exc_traceback):
  function check_fp8 (line 365) | def check_fp8(model):
  function set_model_type (line 379) | def set_model_type(model, state_dict):
  function set_model_fields (line 405) | def set_model_fields(model):
  function load_model_weights (line 410) | def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dic...
  function enable_midas_autodownload (line 542) | def enable_midas_autodownload():
  function patch_given_betas (line 585) | def patch_given_betas():
  function repair_config (line 599) | def repair_config(sd_config, state_dict=None):
  function rescale_zero_terminal_snr_abar (line 628) | def rescale_zero_terminal_snr_abar(alphas_cumprod):
  function apply_alpha_schedule_override (line 647) | def apply_alpha_schedule_override(sd_model, p=None):
  class SdModelData (line 676) | class SdModelData:
    method __init__ (line 677) | def __init__(self):
    method get_sd_model (line 683) | def get_sd_model(self):
    method set_sd_model (line 703) | def set_sd_model(self, v, already_loaded=False):
  function get_empty_cond (line 722) | def get_empty_cond(sd_model):
  function send_model_to_cpu (line 738) | def send_model_to_cpu(m):
  function model_target_device (line 748) | def model_target_device(m):
  function send_model_to_device (line 755) | def send_model_to_device(m):
  function send_model_to_trash (line 762) | def send_model_to_trash(m):
  function instantiate_from_config (line 767) | def instantiate_from_config(config, state_dict=None):
  function get_obj_from_str (line 778) | def get_obj_from_str(string, reload=False):
  function load_model (line 786) | def load_model(checkpoint_info=None, already_loaded_state_dict=None):
  function reuse_model_from_already_loaded (line 878) | def reuse_model_from_already_loaded(sd_model, checkpoint_info, timer):
  function reload_model_weights (line 940) | def reload_model_weights(sd_model=None, info=None, forced_reload=False):
  function unload_model_weights (line 1005) | def unload_model_weights(sd_model=None, info=None):
  function apply_token_merging (line 1011) | def apply_token_merging(sd_model, token_merging_ratio):

FILE: modules/sd_models_config.py
  function is_using_v_parameterization_for_sd2 (line 29) | def is_using_v_parameterization_for_sd2(state_dict):
  function guess_model_config_from_state_dict (line 72) | def guess_model_config_from_state_dict(sd, filename):
  function find_checkpoint_config (line 117) | def find_checkpoint_config(state_dict, info):
  function find_checkpoint_config_near_filename (line 128) | def find_checkpoint_config_near_filename(info):

FILE: modules/sd_models_types.py
  class WebuiSdModel (line 9) | class WebuiSdModel(LatentDiffusion):

FILE: modules/sd_models_xl.py
  function get_learned_conditioning (line 12) | def get_learned_conditioning(self: sgm.models.diffusion.DiffusionEngine,...
  function apply_model (line 37) | def apply_model(self: sgm.models.diffusion.DiffusionEngine, x, t, cond):
  function get_first_stage_encoding (line 46) | def get_first_stage_encoding(self, x):  # SDXL's encode_first_stage does...
  function encode_embedding_init_text (line 55) | def encode_embedding_init_text(self: sgm.modules.GeneralConditioner, ini...
  function tokenize (line 65) | def tokenize(self: sgm.modules.GeneralConditioner, texts):
  function process_texts (line 73) | def process_texts(self, texts):
  function get_target_prompt_token_count (line 78) | def get_target_prompt_token_count(self, token_count):
  function extend_sdxl (line 90) | def extend_sdxl(model):

FILE: modules/sd_samplers.py
  function find_sampler_config (line 24) | def find_sampler_config(name):
  function create_sampler (line 33) | def create_sampler(name, model):
  function set_samplers (line 47) | def set_samplers():
  function visible_sampler_names (line 61) | def visible_sampler_names():
  function visible_samplers (line 65) | def visible_samplers():
  function get_sampler_from_infotext (line 69) | def get_sampler_from_infotext(d: dict):
  function get_scheduler_from_infotext (line 73) | def get_scheduler_from_infotext(d: dict):
  function get_hr_sampler_and_scheduler (line 77) | def get_hr_sampler_and_scheduler(d: dict):
  function get_hr_sampler_from_infotext (line 92) | def get_hr_sampler_from_infotext(d: dict):
  function get_hr_scheduler_from_infotext (line 96) | def get_hr_scheduler_from_infotext(d: dict):
  function get_sampler_and_scheduler (line 101) | def get_sampler_and_scheduler(sampler_name, scheduler_name, *, convert_a...
  function fix_p_invalid_sampler_and_scheduler (line 125) | def fix_p_invalid_sampler_and_scheduler(p):

FILE: modules/sd_samplers_cfg_denoiser.py
  function catenate_conds (line 11) | def catenate_conds(conds):
  function subscript_cond (line 18) | def subscript_cond(cond, a, b):
  function pad_cond (line 25) | def pad_cond(tensor, repeats, empty):
  class CFGDenoiser (line 33) | class CFGDenoiser(torch.nn.Module):
    method __init__ (line 41) | def __init__(self, sampler):
    method inner_model (line 71) | def inner_model(self):
    method combine_denoised (line 74) | def combine_denoised(self, x_out, conds_list, uncond, cond_scale):
    method combine_denoised_for_edit_model (line 84) | def combine_denoised_for_edit_model(self, x_out, cond_scale):
    method get_pred_x0 (line 90) | def get_pred_x0(self, x_in, x_out, sigma):
    method update_inner_model (line 93) | def update_inner_model(self):
    method pad_cond_uncond (line 100) | def pad_cond_uncond(self, cond, uncond):
    method pad_cond_uncond_v0 (line 113) | def pad_cond_uncond_v0(self, cond, uncond):
    method forward (line 156) | def forward(self, x, sigma, uncond, cond, cond_scale, s_min_uncond, im...

FILE: modules/sd_samplers_common.py
  class SamplerData (line 14) | class SamplerData(SamplerDataTuple):
    method total_steps (line 15) | def total_steps(self, steps):
  function setup_img2img_steps (line 22) | def setup_img2img_steps(p, steps=None):
  function samples_to_images_tensor (line 37) | def samples_to_images_tensor(sample, approximation=None, model=None):
  function single_sample_to_image (line 63) | def single_sample_to_image(sample, approximation=None):
  function decode_first_stage (line 73) | def decode_first_stage(model, x):
  function sample_to_image (line 79) | def sample_to_image(samples, index=0, approximation=None):
  function samples_to_image_grid (line 83) | def samples_to_image_grid(samples, approximation=None):
  function images_tensor_to_samples (line 87) | def images_tensor_to_samples(image, approximation=None, model=None):
  function store_latent (line 115) | def store_latent(decoded):
  function is_sampler_using_eta_noise_seed_delta (line 123) | def is_sampler_using_eta_noise_seed_delta(p):
  class InterruptedException (line 142) | class InterruptedException(BaseException):
  function replace_torchsde_browinan (line 146) | def replace_torchsde_browinan():
  function apply_refiner (line 158) | def apply_refiner(cfg_denoiser, sigma=None):
  class TorchHijack (line 205) | class TorchHijack:
    method __init__ (line 213) | def __init__(self, p):
    method __getattr__ (line 216) | def __getattr__(self, item):
    method randn_like (line 225) | def randn_like(self, x):
  class Sampler (line 229) | class Sampler:
    method __init__ (line 230) | def __init__(self, funcname):
    method callback_state (line 256) | def callback_state(self, d):
    method launch_sampling (line 265) | def launch_sampling(self, steps, func):
    method number_of_needed_noises (line 283) | def number_of_needed_noises(self, p):
    method initialize (line 286) | def initialize(self, p) -> dict:
    method create_noise_sampler (line 334) | def create_noise_sampler(self, x, sigmas, p):
    method sample (line 344) | def sample(self, p, x, conditioning, unconditional_conditioning, steps...
    method sample_img2img (line 347) | def sample_img2img(self, p, x, noise, conditioning, unconditional_cond...
    method add_infotext (line 350) | def add_infotext(self, p):

FILE: modules/sd_samplers_extra.py
  function restart_sampler (line 7) | def restart_sampler(model, x, sigmas, extra_args=None, callback=None, di...

FILE: modules/sd_samplers_kdiffusion.py
  class CFGDenoiserKDiffusion (line 52) | class CFGDenoiserKDiffusion(sd_samplers_cfg_denoiser.CFGDenoiser):
    method inner_model (line 54) | def inner_model(self):
  class KDiffusionSampler (line 67) | class KDiffusionSampler(sd_samplers_common.Sampler):
    method __init__ (line 68) | def __init__(self, funcname, sd_model, options=None):
    method get_sigmas (line 79) | def get_sigmas(self, p, steps):
    method sample_img2img (line 134) | def sample_img2img(self, p, x, noise, conditioning, unconditional_cond...
    method sample (line 190) | def sample(self, p, x, conditioning, unconditional_conditioning, steps...

FILE: modules/sd_samplers_lcm.py
  class LCMCompVisDenoiser (line 10) | class LCMCompVisDenoiser(DiscreteEpsDDPMDenoiser):
    method __init__ (line 11) | def __init__(self, model):
    method get_sigmas (line 23) | def get_sigmas(self, n=None,):
    method sigma_to_t (line 35) | def sigma_to_t(self, sigma, quantize=None):
    method t_to_sigma (line 41) | def t_to_sigma(self, timestep):
    method get_eps (line 46) | def get_eps(self, *args, **kwargs):
    method get_scaled_out (line 50) | def get_scaled_out(self, sigma, output, input):
    method forward (line 60) | def forward(self, input, sigma, **kwargs):
  function sample_lcm (line 66) | def sample_lcm(model, x, sigmas, extra_args=None, callback=None, disable...
  class CFGDenoiserLCM (line 83) | class CFGDenoiserLCM(sd_samplers_cfg_denoiser.CFGDenoiser):
    method inner_model (line 85) | def inner_model(self):
  class LCMSampler (line 93) | class LCMSampler(sd_samplers_kdiffusion.KDiffusionSampler):
    method __init__ (line 94) | def __init__(self, funcname, sd_model, options=None):

FILE: modules/sd_samplers_timesteps.py
  class CompVisTimestepsDenoiser (line 25) | class CompVisTimestepsDenoiser(torch.nn.Module):
    method __init__ (line 26) | def __init__(self, model, *args, **kwargs):
    method forward (line 30) | def forward(self, input, timesteps, **kwargs):
  class CompVisTimestepsVDenoiser (line 34) | class CompVisTimestepsVDenoiser(torch.nn.Module):
    method __init__ (line 35) | def __init__(self, model, *args, **kwargs):
    method predict_eps_from_z_and_v (line 39) | def predict_eps_from_z_and_v(self, x_t, t, v):
    method forward (line 42) | def forward(self, input, timesteps, **kwargs):
  class CFGDenoiserTimesteps (line 48) | class CFGDenoiserTimesteps(CFGDenoiser):
    method __init__ (line 50) | def __init__(self, sampler):
    method get_pred_x0 (line 56) | def get_pred_x0(self, x_in, x_out, sigma):
    method inner_model (line 67) | def inner_model(self):
  class CompVisSampler (line 75) | class CompVisSampler(sd_samplers_common.Sampler):
    method __init__ (line 76) | def __init__(self, funcname, sd_model):
    method get_timesteps (line 86) | def get_timesteps(self, p, steps):
    method sample_img2img (line 98) | def sample_img2img(self, p, x, noise, conditioning, unconditional_cond...
    method sample (line 141) | def sample(self, p, x, conditioning, unconditional_conditioning, steps...

FILE: modules/sd_samplers_timesteps_impl.py
  function ddim (line 12) | def ddim(model, x, timesteps, extra_args=None, callback=None, disable=No...
  function ddim_cfgpp (line 44) | def ddim_cfgpp(model, x, timesteps, extra_args=None, callback=None, disa...
  function plms (line 84) | def plms(model, x, timesteps, extra_args=None, callback=None, disable=No...
  class UniPCCFG (line 145) | class UniPCCFG(uni_pc.UniPC):
    method __init__ (line 146) | def __init__(self, cfg_model, extra_args, callback, *args, **kwargs):
    method get_model_input_time (line 159) | def get_model_input_time(self, t_continuous):
    method model (line 162) | def model(self, x, t):
  function unipc (line 170) | def unipc(model, x, timesteps, extra_args=None, callback=None, disable=N...

FILE: modules/sd_schedulers.py
  function to_d (line 10) | def to_d(x, sigma, denoised):
  class Scheduler (line 19) | class Scheduler:
  function uniform (line 29) | def uniform(n, sigma_min, sigma_max, inner_model, device):
  function sgm_uniform (line 33) | def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
  function get_align_your_steps_sigmas (line 44) | def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device):
  function kl_optimal (line 73) | def kl_optimal(n, sigma_min, sigma_max, device):
  function simple_scheduler (line 81) | def simple_scheduler(n, sigma_min, sigma_max, inner_model, device):
  function normal_scheduler (line 90) | def normal_scheduler(n, sigma_min, sigma_max, inner_model, device, sgm=F...
  function ddim_scheduler (line 107) | def ddim_scheduler(n, sigma_min, sigma_max, inner_model, device):
  function beta_scheduler (line 119) | def beta_scheduler(n, sigma_min, sigma_max, inner_model, device):

FILE: modules/sd_unet.py
  function list_unets (line 10) | def list_unets():
  function get_unet_option (line 17) | def get_unet_option(option=None):
  function apply_unet (line 33) | def apply_unet(option=None):
  class SdUnetOption (line 63) | class SdUnetOption:
    method create_unet (line 70) | def create_unet(self):
  class SdUnet (line 75) | class SdUnet(torch.nn.Module):
    method forward (line 76) | def forward(self, x, timesteps, context, *args, **kwargs):
    method activate (line 79) | def activate(self):
    method deactivate (line 82) | def deactivate(self):
  function create_unet_forward (line 86) | def create_unet_forward(original_forward):

FILE: modules/sd_vae.py
  function get_loaded_vae_name (line 23) | def get_loaded_vae_name():
  function get_loaded_vae_hash (line 30) | def get_loaded_vae_hash():
  function get_base_vae (line 39) | def get_base_vae(model):
  function store_base_vae (line 45) | def store_base_vae(model):
  function delete_base_vae (line 53) | def delete_base_vae():
  function restore_base_vae (line 59) | def restore_base_vae(model):
  function get_filename (line 68) | def get_filename(filepath):
  function refresh_vae_list (line 72) | def refresh_vae_list():
  function find_vae_near_checkpoint (line 109) | def find_vae_near_checkpoint(checkpoint_file):
  class VaeResolution (line 119) | class VaeResolution:
    method tuple (line 124) | def tuple(self):
  function is_automatic (line 128) | def is_automatic():
  function resolve_vae_from_setting (line 132) | def resolve_vae_from_setting() -> VaeResolution:
  function resolve_vae_from_user_metadata (line 146) | def resolve_vae_from_user_metadata(checkpoint_file) -> VaeResolution:
  function resolve_vae_near_checkpoint (line 160) | def resolve_vae_near_checkpoint(checkpoint_file) -> VaeResolution:
  function resolve_vae (line 168) | def resolve_vae(checkpoint_file) -> VaeResolution:
  function load_vae_dict (line 188) | def load_vae_dict(filename, map_location):
  function load_vae (line 194) | def load_vae(model, vae_file=None, vae_source="from unknown source"):
  function _load_vae_dict (line 238) | def _load_vae_dict(model, vae_dict_1):
  function clear_loaded_vae (line 243) | def clear_loaded_vae():
  function reload_vae_weights (line 251) | def reload_vae_weights(sd_model=None, vae_file=unspecified):

FILE: modules/sd_vae_approx.py
  class VAEApprox (line 10) | class VAEApprox(nn.Module):
    method __init__ (line 11) | def __init__(self, latent_channels=4):
    method forward (line 22) | def forward(self, x):
  function download_model (line 34) | def download_model(model_path, model_url):
  function model (line 42) | def model():
  function cheap_approximation (line 70) | def cheap_approximation(sample):

FILE: modules/sd_vae_taesd.py
  function conv (line 16) | def conv(n_in, n_out, **kwargs):
  class Clamp (line 20) | class Clamp(nn.Module):
    method forward (line 22) | def forward(x):
  class Block (line 26) | class Block(nn.Module):
    method __init__ (line 27) | def __init__(self, n_in, n_out):
    method forward (line 33) | def forward(self, x):
  function decoder (line 37) | def decoder(latent_channels=4):
  function encoder (line 47) | def encoder(latent_channels=4):
  class TAESDDecoder (line 57) | class TAESDDecoder(nn.Module):
    method __init__ (line 61) | def __init__(self, decoder_path="taesd_decoder.pth", latent_channels=N...
  class TAESDEncoder (line 73) | class TAESDEncoder(nn.Module):
    method __init__ (line 77) | def __init__(self, encoder_path="taesd_encoder.pth", latent_channels=N...
  function download_model (line 89) | def download_model(model_path, model_url):
  function decoder_model (line 97) | def decoder_model():
  function encoder_model (line 122) | def encoder_model():

FILE: modules/shared_gradio_themes.py
  function reload_gradio_theme (line 44) | def reload_gradio_theme(theme_name=None):
  function resolve_var (line 74) | def resolve_var(name: str, gradio_theme=None, history=None):

FILE: modules/shared_init.py
  function initialize (line 9) | def initialize():

FILE: modules/shared_items.py
  function realesrgan_models_names (line 9) | def realesrgan_models_names():
  function dat_models_names (line 14) | def dat_models_names():
  function postprocessing_scripts (line 19) | def postprocessing_scripts():
  function sd_vae_items (line 25) | def sd_vae_items():
  function refresh_vae_list (line 31) | def refresh_vae_list():
  function cross_attention_optimizations (line 37) | def cross_attention_optimizations():
  function sd_unet_items (line 43) | def sd_unet_items():
  function refresh_unet_list (line 49) | def refresh_unet_list():
  function list_checkpoint_tiles (line 55) | def list_checkpoint_tiles(use_short=False):
  function refresh_checkpoints (line 60) | def refresh_checkpoints():
  function list_samplers (line 65) | def list_samplers():
  function reload_hypernetworks (line 70) | def reload_hypernetworks():
  function get_infotext_names (line 77) | def get_infotext_names():
  function ui_reorder_categories (line 109) | def ui_reorder_categories():
  function callbacks_order_settings (line 124) | def callbacks_order_settings():
  class Shared (line 163) | class Shared(sys.modules[__name__].__class__):
    method sd_model (line 172) | def sd_model(self):
    method sd_model (line 178) | def sd_model(self, value):

FILE: modules/shared_state.py
  class State (line 12) | class State:
    method __init__ (line 33) | def __init__(self):
    method need_restart (line 37) | def need_restart(self) -> bool:
    method need_restart (line 42) | def need_restart(self, value: bool) -> None:
    method server_command (line 48) | def server_command(self):
    method server_command (line 52) | def server_command(self, value: Optional[str]) -> None:
    method wait_for_server_command (line 59) | def wait_for_server_command(self, timeout: Optional[float] = None) -> ...
    method request_restart (line 70) | def request_restart(self) -> None:
    method skip (line 75) | def skip(self):
    method interrupt (line 79) | def interrupt(self):
    method stop_generating (line 83) | def stop_generating(self):
    method nextjob (line 87) | def nextjob(self):
    method dict (line 95) | def dict(self):
    method begin (line 110) | def begin(self, job: str = "(unknown)"):
    method end (line 129) | def end(self):
    method set_current_image (line 137) | def set_current_image(self):
    method do_set_current_image (line 145) | def do_set_current_image(self):
    method assign_current_image (line 164) | def assign_current_image(self, image):

FILE: modules/shared_total_tqdm.py
  class TotalTQDM (line 6) | class TotalTQDM:
    method __init__ (line 7) | def __init__(self):
    method reset (line 10) | def reset(self):
    method update (line 18) | def update(self):
    method updateTotal (line 25) | def updateTotal(self, new_total):
    method clear (line 32) | def clear(self):

FILE: modules/styles.py
  class PromptStyle (line 10) | class PromptStyle(typing.NamedTuple):
  function merge_prompts (line 17) | def merge_prompts(style_prompt: str, prompt: str) -> str:
  function apply_styles_to_prompt (line 27) | def apply_styles_to_prompt(prompt, styles):
  function extract_style_text_from_prompt (line 34) | def extract_style_text_from_prompt(style_text, prompt):
  function extract_original_prompts (line 62) | def extract_original_prompts(style: PromptStyle, prompt, negative_prompt):
  class StyleDatabase (line 82) | class StyleDatabase:
    method __init__ (line 83) | def __init__(self, paths: list[str | Path]):
    method reload (line 101) | def reload(self):
    method load_from_csv (line 132) | def load_from_csv(self, path: str | Path):
    method get_style_paths (line 150) | def get_style_paths(self) -> set:
    method get_style_prompts (line 169) | def get_style_prompts(self, styles):
    method get_negative_style_prompts (line 172) | def get_negative_style_prompts(self, styles):
    method apply_styles_to_prompt (line 175) | def apply_styles_to_prompt(self, prompt, styles):
    method apply_negative_styles_to_prompt (line 180) | def apply_negative_styles_to_prompt(self, prompt, styles):
    method save_styles (line 185) | def save_styles(self, path: str = None) -> None:
    method extract_styles_from_prompt (line 210) | def extract_styles_from_prompt(self, prompt, negative_prompt):

FILE: modules/sub_quadratic_attention.py
  function narrow_trunc (line 21) | def narrow_trunc(
  class AttnChunk (line 30) | class AttnChunk(NamedTuple):
  class SummarizeChunk (line 36) | class SummarizeChunk:
    method __call__ (line 38) | def __call__(
  class ComputeQueryChunkAttn (line 45) | class ComputeQueryChunkAttn:
    method __call__ (line 47) | def __call__(
  function _summarize_chunk (line 54) | def _summarize_chunk(
  function _query_chunk_attention (line 75) | def _query_chunk_attention(
  function _get_attention_scores_no_kv_chunking (line 117) | def _get_attention_scores_no_kv_chunking(
  class ScannedChunk (line 136) | class ScannedChunk(NamedTuple):
  function efficient_dot_product_attention (line 141) | def efficient_dot_product_attention(

FILE: modules/sysinfo.py
  function pretty_bytes (line 38) | def pretty_bytes(num, suffix="B"):
  function get (line 45) | def get():
  function check (line 59) | def check(x):
  function get_cpu_info (line 70) | def get_cpu_info():
  function get_ram_info (line 81) | def get_ram_info():
  function get_packages (line 90) | def get_packages():
  function get_dict (line 102) | def get_dict():
  function get_environment (line 130) | def get_environment():
  function get_argv (line 134) | def get_argv():
  function get_torch_sysinfo (line 154) | def get_torch_sysinfo():
  function run_git (line 164) | def run_git(path, *args):
  function git_status (line 171) | def git_status(path):
  function get_info_from_repo_path (line 176) | def get_info_from_repo_path(path: Path):
  function get_extensions (line 187) | def get_extensions(*, enabled, fallback_disabled_extensions=None):
  function get_config (line 206) | def get_config():

FILE: modules/textual_inversion/autocrop.py
  function crop_image (line 14) | def crop_image(im, settings):
  function focal_point (line 74) | def focal_point(im, settings):
  function image_face_points (line 142) | def image_face_points(im, settings):
  function image_corner_points (line 200) | def image_corner_points(im, settings):
  function image_entropy_points (line 228) | def image_entropy_points(im, settings):
  function image_entropy (line 260) | def image_entropy(im):
  function centroid (line 269) | def centroid(pois):
  function poi_average (line 275) | def poi_average(pois, settings):
  function is_landscape (line 289) | def is_landscape(w, h):
  function is_portrait (line 293) | def is_portrait(w, h):
  function is_square (line 297) | def is_square(w, h):
  function download_and_cache_models (line 310) | def download_and_cache_models():
  class PointOfInterest (line 320) | class PointOfInterest:
    method __init__ (line 321) | def __init__(self, x, y, weight=1.0, size=10):
    method bounding (line 327) | def bounding(self, size):
  class Settings (line 336) | class Settings:
    method __init__ (line 337) | def __init__(self, crop_width=512, crop_height=512, corner_points_weig...

FILE: modules/textual_inversion/dataset.py
  class DatasetEntry (line 20) | class DatasetEntry:
    method __init__ (line 21) | def __init__(self, filename=None, filename_text=None, latent_dist=None...
  class PersonalizedBase (line 32) | class PersonalizedBase(Dataset):
    method __init__ (line 33) | def __init__(self, data_root, width, height, repeats, flip_p=0.5, plac...
    method create_text (line 152) | def create_text(self, filename_text):
    method __len__ (line 163) | def __len__(self):
    method __getitem__ (line 166) | def __getitem__(self, i):
  class GroupedBatchSampler (line 175) | class GroupedBatchSampler(Sampler):
    method __init__ (line 176) | def __init__(self, data_source: PersonalizedBase, batch_size: int):
    method __len__ (line 188) | def __len__(self):
    method __iter__ (line 191) | def __iter__(self):
  class PersonalizedDataLoader (line 209) | class PersonalizedDataLoader(DataLoader):
    method __init__ (line 210) | def __init__(self, dataset, latent_sampling_method="once", batch_size=...
  class BatchLoader (line 218) | class BatchLoader:
    method __init__ (line 219) | def __init__(self, data):
    method pin_memory (line 230) | def pin_memory(self):
  function collate_wrapper (line 234) | def collate_wrapper(batch):
  class BatchLoaderRandom (line 237) | class BatchLoaderRandom(BatchLoader):
    method __init__ (line 238) | def __init__(self, data):
    method pin_memory (line 241) | def pin_memory(self):
  function collate_wrapper_random (line 244) | def collate_wrapper_random(batch):

FILE: modules/textual_inversion/image_embedding.py
  class EmbeddingEncoder (line 15) | class EmbeddingEncoder(json.JSONEncoder):
    method default (line 16) | def default(self, obj):
  class EmbeddingDecoder (line 22) | class EmbeddingDecoder(json.JSONDecoder):
    method __init__ (line 23) | def __init__(self, *args, **kwargs):
    method object_hook (line 26) | def object_hook(self, d):
  function embedding_to_b64 (line 32) | def embedding_to_b64(data):
  function embedding_from_b64 (line 37) | def embedding_from_b64(data):
  function lcg (line 42) | def lcg(m=2**32, a=1664525, c=1013904223, seed=0):
  function xor_block (line 48) | def xor_block(block):
  function style_block (line 54) | def style_block(block, sequence):
  function insert_image_data_embed (line 72) | def insert_image_data_embed(image, data):
  function crop_black (line 108) | def crop_black(img, tol=0):
  function extract_image_data_embed (line 116) | def extract_image_data_embed(image):
  function caption_image_overlay (line 137) | def caption_image_overlay(srcimage, title, footerLeft, footerMid, footer...

FILE: modules/textual_inversion/learn_schedule.py
  class LearnScheduleIterator (line 4) | class LearnScheduleIterator:
    method __init__ (line 5) | def __init__(self, learn_rate, max_steps, cur_step=0):
    method __iter__ (line 39) | def __iter__(self):
    method __next__ (line 42) | def __next__(self):
  class LearnRateScheduler (line 50) | class LearnRateScheduler:
    method __init__ (line 51) | def __init__(self, learn_rate, max_steps, cur_step=0, verbose=True):
    method step (line 61) | def step(self, step_number):
    method apply (line 72) | def apply(self, optimizer, step_number):

FILE: modules/textual_inversion/saving_settings.py
  function save_settings_to_file (line 52) | def save_settings_to_file(log_directory, all_params):

FILE: modules/textual_inversion/textual_inversion.py
  function list_textual_inversion_templates (line 27) | def list_textual_inversion_templates():
  class Embedding (line 39) | class Embedding:
    method __init__ (line 40) | def __init__(self, vec, name, step=None):
    method save (line 54) | def save(self, filename):
    method checksum (line 73) | def checksum(self):
    method set_hash (line 86) | def set_hash(self, v):
  class DirWithTextualInversionEmbeddings (line 91) | class DirWithTextualInversionEmbeddings:
    method __init__ (line 92) | def __init__(self, path):
    method has_changed (line 96) | def has_changed(self):
    method update (line 104) | def update(self):
  class EmbeddingDatabase (line 111) | class EmbeddingDatabase:
    method __init__ (line 112) | def __init__(self):
    method add_embedding_dir (line 120) | def add_embedding_dir(self, path):
    method clear_embedding_dirs (line 123) | def clear_embedding_dirs(self):
    method register_embedding (line 126) | def register_embedding(self, embedding, model):
    method register_embedding_by_name (line 129) | def register_embedding_by_name(self, embedding, model, name):
    method get_expected_shape (line 152) | def get_expected_shape(self):
    method load_from_file (line 157) | def load_from_file(self, path, filename):
    method load_from_dir (line 195) | def load_from_dir(self, embdir):
    method load_textual_inversion_embeddings (line 212) | def load_textual_inversion_embeddings(self, force_reload=False):
    method find_embedding_at_position (line 245) | def find_embedding_at_position(self, tokens, offset):
  function create_embedding (line 259) | def create_embedding(name, num_vectors_per_token, overwrite_old, init_te...
  function create_embedding_from_data (line 287) | def create_embedding_from_data(data, name, filename='unknown embedding f...
  function write_loss (line 326) | def write_loss(log_directory, filename, step, epoch_len, values):
  function tensorboard_setup (line 350) | def tensorboard_setup(log_directory):
  function tensorboard_add (line 357) | def tensorboard_add(tensorboard_writer, loss, global_step, step, learn_r...
  function tensorboard_add_scaler (line 363) | def tensorboard_add_scaler(tensorboard_writer, tag, value, step):
  function tensorboard_add_image (line 367) | def tensorboard_add_image(tensorboard_writer, tag, pil_image, step):
  function validate_train_inputs (line 376) | def validate_train_inputs(model_name, learn_rate, batch_size, gradient_s...
  function train_embedding (line 400) | def train_embedding(id_task, embedding_name, learn_rate, batch_size, gra...
  function save_embedding (line 691) | def save_embedding(embedding, optimizer, checkpoint, embedding_name, fil...

FILE: modules/textual_inversion/ui.py
  function create_embedding (line 9) | def create_embedding(name, initialization_text, nvpt, overwrite_old):
  function train_embedding (line 17) | def train_embedding(*args):

FILE: modules/timer.py
  class TimerSubcategory (line 5) | class TimerSubcategory:
    method __init__ (line 6) | def __init__(self, timer, category):
    method __enter__ (line 12) | def __enter__(self):
    method __exit__ (line 20) | def __exit__(self, exc_type, exc_val, exc_tb):
  class Timer (line 28) | class Timer:
    method __init__ (line 29) | def __init__(self, print_log=False):
    method elapsed (line 37) | def elapsed(self):
    method add_time_to_record (line 43) | def add_time_to_record(self, category, amount):
    method record (line 49) | def record(self, category, extra_time=0, disable_log=False):
    method subcategory (line 59) | def subcategory(self, name):
    method summary (line 65) | def summary(self):
    method dump (line 78) | def dump(self):
    method reset (line 81) | def reset(self):

FILE: modules/torch_utils.py
  function get_param (line 7) | def get_param(model) -> torch.nn.Parameter:
  function float64 (line 21) | def float64(t: torch.Tensor):

FILE: modules/txt2img.py
  function txt2img_create_processing (line 14) | def txt2img_create_processing(id_task: str, request: gr.Request, prompt:...
  function txt2img_upscale (line 58) | def txt2img_upscale(id_task: str, request: gr.Request, gallery, gallery_...
  function txt2img (line 102) | def txt2img(id_task: str, request: gr.Request, *args):

FILE: modules/ui.py
  function gr_show (line 62) | def gr_show(visible=True):
  function send_gradio_gallery_to_image (line 87) | def send_gradio_gallery_to_image(x):
  function calc_resolution_hires (line 93) | def calc_resolution_hires(enable, width, height, hr_scale, hr_resize_x, ...
  function resize_from_to_html (line 103) | def resize_from_to_html(width, height, scale_by):
  function process_interrogate (line 113) | def process_interrogate(interrogation_function, mode, ii_input_dir, ii_o...
  function interrogate (line 136) | def interrogate(image):
  function interrogate_deepbooru (line 141) | def interrogate_deepbooru(image):
  function connect_clear_prompt (line 146) | def connect_clear_prompt(button):
  function update_token_counter (line 156) | def update_token_counter(text, steps, styles, *, is_positive=True):
  function update_negative_prompt_token_counter (line 189) | def update_negative_prompt_token_counter(*args):
  function setup_progressbar (line 193) | def setup_progressbar(*args, **kwargs):
  function apply_setting (line 197) | def apply_setting(key, value):
  function create_output_panel (line 230) | def create_output_panel(tabname, outdir, toprow=None):
  function ordered_ui_categories (line 234) | def ordered_ui_categories():
  function create_override_settings_dropdown (line 241) | def create_override_settings_dropdown(tabname, row):
  function create_ui (line 253) | def create_ui():
  function versions_html (line 1178) | def versions_html():
  function setup_ui_api (line 1207) | def setup_ui_api(app):

FILE: modules/ui_checkpoint_merger.py
  function update_interp_description (line 9) | def update_interp_description(value):
  function modelmerger (line 19) | def modelmerger(*args):
  class UiCheckpointMerger (line 29) | class UiCheckpointMerger:
    method __init__ (line 30) | def __init__(self):
    method setup_ui (line 86) | def setup_ui(self, dummy_component, sd_model_checkpoint_component):

FILE: modules/ui_common.py
  function update_generation_info (line 20) | def update_generation_info(generation_info, html_info, img_index):
  function plaintext_to_html (line 32) | def plaintext_to_html(text, classname=None):
  function update_logfile (line 38) | def update_logfile(logfile_path, fields):
  function save_files (line 64) | def save_files(js_data, images, do_make_zip, index):
  class OutputPanel (line 156) | class OutputPanel:
  function create_output_panel (line 164) | def create_output_panel(tabname, outdir, toprow=None):
  function create_refresh_button (line 284) | def create_refresh_button(refresh_component, refresh_method, refreshed_a...
  function setup_dialog (line 312) | def setup_dialog(button_show, dialog, *, button_close=None):

FILE: modules/ui_components.py
  class FormComponent (line 4) | class FormComponent:
    method get_expected_parent (line 5) | def get_expected_parent(self):
  class ToolButton (line 12) | class ToolButton(FormComponent, gr.Button):
    method __init__ (line 15) | def __init__(self, *args, **kwargs):
    method get_block_name (line 19) | def get_block_name(self):
  class ResizeHandleRow (line 23) | class ResizeHandleRow(gr.Row):
    method __init__ (line 26) | def __init__(self, **kwargs):
    method get_block_name (line 31) | def get_block_name(self):
  class FormRow (line 35) | class FormRow(FormComponent, gr.Row):
    method get_block_name (line 38) | def get_block_name(self):
  class FormColumn (line 42) | class FormColumn(FormComponent, gr.Column):
    method get_block_name (line 45) | def get_block_name(self):
  class FormGroup (line 49) | class FormGroup(FormComponent, gr.Group):
    method get_block_name (line 52) | def get_block_name(self):
  class FormHTML (line 56) | class FormHTML(FormComponent, gr.HTML):
    method get_block_name (line 59) | def get_block_name(self):
  class FormColorPicker (line 63) | class FormColorPicker(FormComponent, gr.ColorPicker):
    method get_block_name (line 66) | def get_block_name(self):
  class DropdownMulti (line 70) | class DropdownMulti(FormComponent, gr.Dropdown):
    method __init__ (line 72) | def __init__(self, **kwargs):
    method get_block_name (line 75) | def get_block_name(self):
  class DropdownEditable (line 79) | class DropdownEditable(FormComponent, gr.Dropdown):
    method __init__ (line 81) | def __init__(self, **kwargs):
    method get_block_name (line 84) | def get_block_name(self):
  class InputAccordion (line 88) | class InputAccordion(gr.Checkbox):
    method __init__ (line 96) | def __init__(self, value, **kwargs):
    method extra (line 120) | def extra(self):
    method __enter__ (line 136) | def __enter__(self):
    method __exit__ (line 140) | def __exit__(self, exc_type, exc_val, exc_tb):
    method get_block_name (line 143) | def get_block_name(self):

FILE: modules/ui_extensions.py
  function check_access (line 22) | def check_access():
  function apply_and_restart (line 26) | def apply_and_restart(disable_list, update_list, disable_all):
  function save_config_state (line 59) | def save_config_state(name):
  function restore_config_state (line 76) | def restore_config_state(confirmed, config_state_name, restore_type):
  function check_updates (line 100) | def check_updates(id_task, disable_list):
  function make_commit_link (line 125) | def make_commit_link(commit_hash, remote, text=None):
  function extension_table (line 137) | def extension_table():
  function update_config_states_table (line 194) | def update_config_states_table(state_name):
  function normalize_git_url (line 331) | def normalize_git_url(url):
  function get_extension_dirname_from_url (line 339) | def get_extension_dirname_from_url(url):
  function install_extension_from_url (line 344) | def install_extension_from_url(dirname, url, branch_name=None):
  function install_extension_from_index (line 399) | def install_extension_from_index(url, selected_tags, showing_type, filte...
  function refresh_available_extensions (line 407) | def refresh_available_extensions(url, selected_tags, showing_type, filte...
  function refresh_available_extensions_for_tags (line 421) | def refresh_available_extensions_for_tags(selected_tags, showing_type, f...
  function search_extensions (line 427) | def search_extensions(filter_text, selected_tags, showing_type, filterin...
  function get_date (line 446) | def get_date(info: dict, key):
  function refresh_available_extensions_from_data (line 453) | def refresh_available_extensions_from_data(selected_tags, showing_type, ...
  function preload_extensions_git_metadata (line 539) | def preload_extensions_git_metadata():
  function create_ui (line 544) | def create_ui():

FILE: modules/ui_extra_networks.py
  function allowed_preview_extensions_with_extra (line 25) | def allowed_preview_extensions_with_extra(extra_extensions=None):
  function allowed_preview_extensions (line 29) | def allowed_preview_extensions():
  class ExtraNetworksItem (line 34) | class ExtraNetworksItem:
  function get_tree (line 39) | def get_tree(paths: Union[str, list[str]], items: dict[str, ExtraNetwork...
  function register_page (line 89) | def register_page(page):
  function fetch_file (line 97) | def fetch_file(filename: str = ""):
  function fetch_cover_images (line 114) | def fetch_cover_images(page: str = "", item: str = "", index: int = 0):
  function get_metadata (line 139) | def get_metadata(page: str = "", item: str = ""):
  function get_single_card (line 155) | def get_single_card(page: str = "", tabname: str = "", name: str = ""):
  function add_pages_to_demo (line 173) | def add_pages_to_demo(app):
  function quote_js (line 180) | def quote_js(s):
  class ExtraNetworksPage (line 186) | class ExtraNetworksPage:
    method __init__ (line 187) | def __init__(self, title):
    method refresh (line 207) | def refresh(self):
    method read_user_metadata (line 210) | def read_user_metadata(self, item, use_cache=True):
    method link_preview (line 220) | def link_preview(self, filename):
    method search_terms_from_path (line 225) | def search_terms_from_path(self, filename, possible_directories=None):
    method create_item_html (line 234) | def create_item_html(
    method create_tree_dir_item_html (line 353) | def create_tree_dir_item_html(
    method create_tree_file_item_html (line 405) | def create_tree_file_item_html(self, tabname: str, file_path: str, ite...
    method create_tree_view_html (line 455) | def create_tree_view_html(self, tabname: str) -> str:
    method create_dirs_view_html (line 511) | def create_dirs_view_html(self, tabname: str) -> str:
    method create_card_view_html (line 552) | def create_card_view_html(self, tabname: str, *, none_message) -> str:
    method create_html (line 575) | def create_html(self, tabname, *, empty=False):
    method create_item (line 625) | def create_item(self, name, index=None):
    method list_items (line 628) | def list_items(self):
    method allowed_directories_for_previews (line 631) | def allowed_directories_for_previews(self):
    method get_sort_keys (line 634) | def get_sort_keys(self, path):
    method find_preview (line 647) | def find_preview(self, path):
    method find_embedded_preview (line 660) | def find_embedded_preview(self, path, name, metadata):
    method find_description (line 671) | def find_description(self, path):
    method create_user_metadata_editor (line 686) | def create_user_metadata_editor(self, ui, tabname):
  function initialize (line 690) | def initialize():
  function register_default_pages (line 694) | def register_default_pages():
  class ExtraNetworksUi (line 703) | class ExtraNetworksUi:
    method __init__ (line 704) | def __init__(self):
  function pages_in_preferred_order (line 719) | def pages_in_preferred_order(pages):
  function create_ui (line 735) | def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
  function path_is_parent (line 795) | def path_is_parent(parent_path, child_path):
  function setup_ui (line 802) | def setup_ui(ui, gallery):

FILE: modules/ui_extra_networks_checkpoints.py
  class ExtraNetworksPageCheckpoints (line 8) | class ExtraNetworksPageCheckpoints(ui_extra_networks.ExtraNetworksPage):
    method __init__ (line 9) | def __init__(self):
    method refresh (line 14) | def refresh(self):
    method create_item (line 17) | def create_item(self, name, index=None, enable_filter=True):
    method list_items (line 39) | def list_items(self):
    method allowed_directories_for_previews (line 47) | def allowed_directories_for_previews(self):
    method create_user_metadata_editor (line 50) | def create_user_metadata_editor(self, ui, tabname):

FILE: modules/ui_extra_networks_checkpoints_user_metadata.py
  class CheckpointUserMetadataEditor (line 7) | class CheckpointUserMetadataEditor(ui_extra_networks_user_metadata.UserM...
    method __init__ (line 8) | def __init__(self, ui, tabname, page):
    method save_user_metadata (line 13) | def save_user_metadata(self, name, desc, notes, vae):
    method update_vae (line 21) | def update_vae(self, name):
    method put_values_into_components (line 25) | def put_values_into_components(self, name):
    method create_editor (line 34) | def create_editor(self):

FILE: modules/ui_extra_networks_hypernets.py
  class ExtraNetworksPageHypernetworks (line 8) | class ExtraNetworksPageHypernetworks(ui_extra_networks.ExtraNetworksPage):
    method __init__ (line 9) | def __init__(self):
    method refresh (line 12) | def refresh(self):
    method create_item (line 15) | def create_item(self, name, index=None, enable_filter=True):
    method list_items (line 38) | def list_items(self):
    method allowed_directories_for_previews (line 46) | def allowed_directories_for_previews(self):

FILE: modules/ui_extra_networks_textual_inversion.py
  class ExtraNetworksPageTextualInversion (line 7) | class ExtraNetworksPageTextualInversion(ui_extra_networks.ExtraNetworksP...
    method __init__ (line 8) | def __init__(self):
    method refresh (line 12) | def refresh(self):
    method create_item (line 15) | def create_item(self, name, index=None, enable_filter=True):
    method list_items (line 36) | def list_items(self):
    method allowed_directories_for_previews (line 44) | def allowed_directories_for_previews(self):

FILE: modules/ui_extra_networks_user_metadata.py
  class UserMetadataEditor (line 11) | class UserMetadataEditor:
    method __init__ (line 13) | def __init__(self, ui, tabname, page):
    method get_user_metadata (line 35) | def get_user_metadata(self, name):
    method create_extra_default_items_in_left_column (line 45) | def create_extra_default_items_in_left_column(self):
    method create_default_editor_elems (line 48) | def create_default_editor_elems(self):
    method create_default_buttons (line 60) | def create_default_buttons(self):
    method get_card_html (line 71) | def get_card_html(self, name):
    method relative_path (line 92) | def relative_path(self, path):
    method get_metadata_table (line 99) | def get_metadata_table(self, name):
    method put_values_into_components (line 118) | def put_values_into_components(self, name):
    method write_user_metadata (line 131) | def write_user_metadata(self, name, metadata):
    method save_user_metadata (line 141) | def save_user_metadata(self, name, desc, notes):
    method setup_save_handler (line 148) | def setup_save_handler(self, button, func, components):
    method create_editor (line 153) | def create_editor(self):
    method create_ui (line 166) | def create_ui(self):
    method save_preview (line 175) | def save_preview(self, index, gallery, name):
    method setup_ui (line 194) | def setup_ui(self, gallery):

FILE: modules/ui_gradio_extensions.py
  function webpath (line 8) | def webpath(fn):
  function javascript_html (line 12) | def javascript_html():
  function css_html (line 31) | def css_html():
  function reload_javascript (line 52) | def reload_javascript():

FILE: modules/ui_loadsave.py
  function radio_choices (line 10) | def radio_choices(comp):  # gradio 3.41 changes choices from list of val...
  class UiLoadsave (line 14) | class UiLoadsave:
    method __init__ (line 17) | def __init__(self, filename):
    method add_component (line 36) | def add_component(self, path, x):
    method add_block (line 127) | def add_block(self, x, path=""):
    method read_from_file (line 141) | def read_from_file(self):
    method write_to_file (line 145) | def write_to_file(self, current_ui_settings):
    method dump_defaults (line 149) | def dump_defaults(self):
    method iter_changes (line 157) | def iter_changes(self, current_ui_settings, values):
    method ui_view (line 184) | def ui_view(self, *values):
    method ui_apply (line 199) | def ui_apply(self, *values):
    method create_ui (line 215) | def create_ui(self):
    method setup_ui (line 231) | def setup_ui(self):

FILE: modules/ui_postprocessing.py
  function create_ui (line 7) | def create_ui():

FILE: modules/ui_prompt_styles.py
  function select_style (line 10) | def select_style(name):
  function save_style (line 21) | def save_style(name, prompt, negative_prompt):
  function delete_style (line 35) | def delete_style(name):
  function materialize_styles (line 45) | def materialize_styles(prompt, negative_prompt, styles):
  function refresh_styles (line 52) | def refresh_styles():
  class UiPromptStyles (line 56) | class UiPromptStyles:
    method __init__ (line 57) | def __init__(self, tabname, main_ui_prompt, main_ui_negative_prompt):
    method setup_apply_button (line 117) | def setup_apply_button(self, button):

FILE: modules/ui_settings.py
  function get_value_for_setting (line 12) | def get_value_for_setting(key):
  function create_setting_component (line 22) | def create_setting_component(key, is_quicksettings=False):
  class UiSettings (line 58) | class UiSettings:
    method run_settings (line 72) | def run_settings(self, *args):
    method run_settings_single (line 91) | def run_settings_single(self, value, key):
    method register_settings (line 102) | def register_settings(self):
    method create_ui (line 105) | def create_ui(self, loadsave, dummy_component):
    method add_quicksettings (line 290) | def add_quicksettings(self):
    method add_functionality (line 296) | def add_functionality(self, demo):
    method search (line 342) | def search(self, text):

FILE: modules/ui_tempdir.py
  function register_tmp_file (line 16) | def register_tmp_file(gradio, filename):
  function check_tmp_file (line 24) | def check_tmp_file(gradio, filename):
  function save_pil_to_file (line 34) | def save_pil_to_file(self, pil_image, dir=None, format="png"):
  function install_ui_tempdir_override (line 59) | def install_ui_tempdir_override():
  function on_tmpdir_changed (line 64) | def on_tmpdir_changed():
  function cleanup_tmpdr (line 73) | def cleanup_tmpdr():
  function is_gradio_temp_path (line 88) | def is_gradio_temp_path(path):

FILE: modules/ui_toprow.py
  class Toprow (line 9) | class Toprow:
    method __init__ (line 38) | def __init__(self, is_img2img, is_compact=False, id_part=None):
    method create_classic_toprow (line 52) | def create_classic_toprow(self):
    method create_inline_toprow_prompts (line 62) | def create_inline_toprow_prompts(self):
    method create_inline_toprow_image (line 74) | def create_inline_toprow_image(self):
    method create_prompts (line 80) | def create_prompts(self):
    method create_submit_box (line 96) | def create_submit_box(self):
    method create_tools_row (line 116) | def create_tools_row(self):
    method create_styles_ui (line 142) | def create_styles_ui(self):

FILE: modules/upscaler.py
  class Upscaler (line 14) | class Upscaler:
    method __init__ (line 26) | def __init__(self, create_dirs=False):
    method do_upscale (line 51) | def do_upscale(self, img: PIL.Image, selected_model: str):
    method upscale (line 54) | def upscale(self, img: PIL.Image, scale, selected_model: str = None):
    method load_model (line 79) | def load_model(self, path: str):
    method find_models (line 82) | def find_models(self, ext_filter=None) -> list:
    method update_status (line 85) | def update_status(self, prompt):
  class UpscalerData (line 89) | class UpscalerData:
    method __init__ (line 96) | def __init__(self, name: str, path: str, upscaler: Upscaler = None, sc...
    method __repr__ (line 104) | def __repr__(self):
  class UpscalerNone (line 108) | class UpscalerNone(Upscaler):
    method load_model (line 112) | def load_model(self, path):
    method do_upscale (line 115) | def do_upscale(self, img, selected_model=None):
    method __init__ (line 118) | def __init__(self, dirname=None):
  class UpscalerLanczos (line 123) | class UpscalerLanczos(Upscaler):
    method do_upscale (line 126) | def do_upscale(self, img, selected_model=None):
    method load_model (line 129) | def load_model(self, _):
    method __init__ (line 132) | def __init__(self, dirname=None):
  class UpscalerNearest (line 138) | class UpscalerNearest(Upscaler):
    method do_upscale (line 141) | def do_upscale(self, img, selected_model=None):
    method load_model (line 144) | def load_model(self, _):
    method __init__ (line 147) | def __init__(self, dirname=None):

FILE: modules/upscaler_utils.py
  function pil_image_to_torch_bgr (line 14) | def pil_image_to_torch_bgr(img: Image.Image) -> torch.Tensor:
  function torch_bgr_to_pil_image (line 22) | def torch_bgr_to_pil_image(tensor: torch.Tensor) -> Image.Image:
  function upscale_pil_patch (line 38) | def upscale_pil_patch(model, img: Image.Image) -> Image.Image:
  function upscale_with_model (line 51) | def upscale_with_model(
  function tiled_upscale_2 (line 91) | def tiled_upscale_2(
  function upscale_2 (line 165) | def upscale_2(

FILE: modules/util.py
  function natural_sort_key (line 8) | def natural_sort_key(s, regex=re.compile('([0-9]+)')):
  function listfiles (line 12) | def listfiles(dirname):
  function html_path (line 17) | def html_path(filename):
  function html (line 21) | def html(filename):
  function walk_files (line 31) | def walk_files(path, allowed_extensions=None):
  function ldm_print (line 54) | def ldm_print(*args, **kwargs):
  function truncate_path (line 61) | def truncate_path(target_path, base_path=cwd):
  class MassFileListerCachedDir (line 71) | class MassFileListerCachedDir:
    method __init__ (line 74) | def __init__(self, dirname):
    method update_entry (line 84) | def update_entry(self, filename):
  class MassFileLister (line 96) | class MassFileLister:
    method __init__ (line 99) | def __init__(self):
    method

[
  {
    "path": ".eslintignore",
    "chars": 48,
    "preview": "extensions\nextensions-disabled\nrepositories\nvenv"
  },
  {
    "path": ".eslintrc.js",
    "chars": 3423,
    "preview": "/* global module */\nmodule.exports = {\n    env: {\n        browser: true,\n        es2021: true,\n    },\n    extends: \"esli"
  },
  {
    "path": ".git-blame-ignore-revs",
    "chars": 55,
    "preview": "# Apply ESlint\n9c54b78d9dde5601e916f308d9a9d6953ec39430"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/bug_report.yml",
    "chars": 4405,
    "preview": "name: Bug Report\ndescription: You think something is broken in the UI\ntitle: \"[Bug]: \"\nlabels: [\"bug-report\"]\n\nbody:\n  -"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/config.yml",
    "chars": 203,
    "preview": "blank_issues_enabled: false\ncontact_links:\n  - name: WebUI Community Support\n    url: https://github.com/AUTOMATIC1111/s"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/feature_request.yml",
    "chars": 1413,
    "preview": "name: Feature request\ndescription: Suggest an idea for this project\ntitle: \"[Feature Request]: \"\nlabels: [\"enhancement\"]"
  },
  {
    "path": ".github/pull_request_template.md",
    "chars": 577,
    "preview": "## Description\n\n* a simple description of what you're trying to accomplish\n* a summary of changes in code\n* which issues"
  },
  {
    "path": ".github/workflows/on_pull_request.yaml",
    "chars": 1231,
    "preview": "name: Linter\n\non:\n  - push\n  - pull_request\n\njobs:\n  lint-python:\n    name: ruff\n    runs-on: ubuntu-latest\n    if: gith"
  },
  {
    "path": ".github/workflows/run_tests.yaml",
    "chars": 2529,
    "preview": "name: Tests\n\non:\n  - push\n  - pull_request\n\njobs:\n  test:\n    name: tests on CPU with empty model\n    runs-on: ubuntu-la"
  },
  {
    "path": ".github/workflows/warns_merge_master.yml",
    "chars": 424,
    "preview": "name: Pull requests can't target master branch\n\n\"on\":\n  pull_request:\n    types:\n      - opened\n      - synchronize\n    "
  },
  {
    "path": ".gitignore",
    "chars": 573,
    "preview": "__pycache__\n*.ckpt\n*.safetensors\n*.pth\n.DS_Store\n/ESRGAN/*\n/SwinIR/*\n/repositories\n/venv\n/tmp\n/model.ckpt\n/models/**/*\n/"
  },
  {
    "path": ".pylintrc",
    "chars": 119,
    "preview": "# See https://pylint.pycqa.org/en/latest/user_guide/messages/message_control.html\n[MESSAGES CONTROL]\ndisable=C,R,W,E,I\n"
  },
  {
    "path": "CHANGELOG.md",
    "chars": 97076,
    "preview": "## 1.10.1\r\n\r\n### Bug Fixes:\r\n* fix image upscale on cpu ([#16275](https://github.com/AUTOMATIC1111/stable-diffusion-webu"
  },
  {
    "path": "CITATION.cff",
    "chars": 243,
    "preview": "cff-version: 1.2.0\nmessage: \"If you use this software, please cite it as below.\"\nauthors:\n  - given-names: AUTOMATIC1111"
  },
  {
    "path": "CODEOWNERS",
    "chars": 657,
    "preview": "*       @AUTOMATIC1111\r\n\r\n# if you were managing a localization and were removed from this file, this is because\r\n# the "
  },
  {
    "path": "LICENSE.txt",
    "chars": 35240,
    "preview": "                    GNU AFFERO GENERAL PUBLIC LICENSE\r\n                       Version 3, 19 November 2007\r\n\r\n           "
  },
  {
    "path": "README.md",
    "chars": 12924,
    "preview": "# Stable Diffusion web UI\r\nA web interface for Stable Diffusion, implemented using Gradio library.\r\n\r\n![](screenshot.png"
  },
  {
    "path": "_typos.toml",
    "chars": 146,
    "preview": "[default.extend-words]\n# Part of \"RGBa\" (Pillow's pre-multiplied alpha RGB mode)\nBa = \"Ba\"\n# HSA is something AMD uses f"
  },
  {
    "path": "configs/alt-diffusion-inference.yaml",
    "chars": 1913,
    "preview": "model:\n  base_learning_rate: 1.0e-04\n  target: ldm.models.diffusion.ddpm.LatentDiffusion\n  params:\n    linear_start: 0.0"
  },
  {
    "path": "configs/alt-diffusion-m18-inference.yaml",
    "chars": 1968,
    "preview": "model:\n  base_learning_rate: 1.0e-04\n  target: ldm.models.diffusion.ddpm.LatentDiffusion\n  params:\n    linear_start: 0.0"
  },
  {
    "path": "configs/instruct-pix2pix.yaml",
    "chars": 2601,
    "preview": "# File modified by authors of InstructPix2Pix from original (https://github.com/CompVis/stable-diffusion).\n# See more de"
  },
  {
    "path": "configs/sd3-inference.yaml",
    "chars": 104,
    "preview": "model:\n  target: modules.models.sd3.sd3_model.SD3Inferencer\n  params:\n    shift: 3\n    state_dict: null\n"
  },
  {
    "path": "configs/sd_xl_inpaint.yaml",
    "chars": 3248,
    "preview": "model:\n  target: sgm.models.diffusion.DiffusionEngine\n  params:\n    scale_factor: 0.13025\n    disable_first_stage_autoca"
  },
  {
    "path": "configs/v1-inference.yaml",
    "chars": 1874,
    "preview": "model:\n  base_learning_rate: 1.0e-04\n  target: ldm.models.diffusion.ddpm.LatentDiffusion\n  params:\n    linear_start: 0.0"
  },
  {
    "path": "configs/v1-inpainting-inference.yaml",
    "chars": 1992,
    "preview": "model:\n  base_learning_rate: 7.5e-05\n  target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion\n  params:\n    linear_sta"
  },
  {
    "path": "environment-wsl2.yaml",
    "chars": 167,
    "preview": "name: automatic\nchannels:\n  - pytorch\n  - defaults\ndependencies:\n  - python=3.10\n  - pip=23.0\n  - cudatoolkit=11.8\n  - p"
  },
  {
    "path": "extensions-builtin/LDSR/ldsr_model_arch.py",
    "chars": 9759,
    "preview": "import os\nimport gc\nimport time\n\nimport numpy as np\nimport torch\nimport torchvision\nfrom PIL import Image\nfrom einops im"
  },
  {
    "path": "extensions-builtin/LDSR/preload.py",
    "chars": 221,
    "preview": "import os\r\nfrom modules import paths\r\n\r\n\r\ndef preload(parser):\r\n    parser.add_argument(\"--ldsr-models-path\", type=str, "
  },
  {
    "path": "extensions-builtin/LDSR/scripts/ldsr_model.py",
    "chars": 3128,
    "preview": "import os\n\nfrom modules.modelloader import load_file_from_url\nfrom modules.upscaler import Upscaler, UpscalerData\nfrom l"
  },
  {
    "path": "extensions-builtin/LDSR/sd_hijack_autoencoder.py",
    "chars": 11836,
    "preview": "# The content of this file comes from the ldm/models/autoencoder.py file of the compvis/stable-diffusion repo\n# The VQMo"
  },
  {
    "path": "extensions-builtin/LDSR/sd_hijack_ddpm_v1.py",
    "chars": 67254,
    "preview": "# This script is copied from the compvis/stable-diffusion repo (aka the SD V1 repo)\n# Original filename: ldm/models/diff"
  },
  {
    "path": "extensions-builtin/LDSR/vqvae_quantize.py",
    "chars": 6478,
    "preview": "# Vendored from https://raw.githubusercontent.com/CompVis/taming-transformers/24268930bf1dce879235a7fddd0b2355b84d7ea6/t"
  },
  {
    "path": "extensions-builtin/Lora/extra_networks_lora.py",
    "chars": 2647,
    "preview": "from modules import extra_networks, shared\r\nimport networks\r\n\r\n\r\nclass ExtraNetworkLora(extra_networks.ExtraNetwork):\r\n "
  },
  {
    "path": "extensions-builtin/Lora/lora.py",
    "chars": 357,
    "preview": "import networks\r\n\r\nlist_available_loras = networks.list_available_networks\r\n\r\navailable_loras = networks.available_netwo"
  },
  {
    "path": "extensions-builtin/Lora/lora_logger.py",
    "chars": 929,
    "preview": "import sys\nimport copy\nimport logging\n\n\nclass ColoredFormatter(logging.Formatter):\n    COLORS = {\n        \"DEBUG\": \"\\033"
  },
  {
    "path": "extensions-builtin/Lora/lora_patches.py",
    "chars": 2556,
    "preview": "import torch\r\n\r\nimport networks\r\nfrom modules import patches\r\n\r\n\r\nclass LoraPatches:\r\n    def __init__(self):\r\n        s"
  },
  {
    "path": "extensions-builtin/Lora/lyco_helpers.py",
    "chars": 2403,
    "preview": "import torch\r\n\r\n\r\ndef make_weight_cp(t, wa, wb):\r\n    temp = torch.einsum('i j k l, j r -> i r k l', t, wb)\r\n    return "
  },
  {
    "path": "extensions-builtin/Lora/network.py",
    "chars": 7944,
    "preview": "from __future__ import annotations\r\nimport os\r\nfrom collections import namedtuple\r\nimport enum\r\n\r\nimport torch.nn as nn\r"
  },
  {
    "path": "extensions-builtin/Lora/network_full.py",
    "chars": 904,
    "preview": "import network\r\n\r\n\r\nclass ModuleTypeFull(network.ModuleType):\r\n    def create_module(self, net: network.Network, weights"
  },
  {
    "path": "extensions-builtin/Lora/network_glora.py",
    "chars": 1246,
    "preview": "\nimport network\n\nclass ModuleTypeGLora(network.ModuleType):\n    def create_module(self, net: network.Network, weights: n"
  },
  {
    "path": "extensions-builtin/Lora/network_hada.py",
    "chars": 1985,
    "preview": "import lyco_helpers\r\nimport network\r\n\r\n\r\nclass ModuleTypeHada(network.ModuleType):\r\n    def create_module(self, net: net"
  },
  {
    "path": "extensions-builtin/Lora/network_ia3.py",
    "chars": 908,
    "preview": "import network\r\n\r\n\r\nclass ModuleTypeIa3(network.ModuleType):\r\n    def create_module(self, net: network.Network, weights:"
  },
  {
    "path": "extensions-builtin/Lora/network_lokr.py",
    "chars": 2354,
    "preview": "import torch\r\n\r\nimport lyco_helpers\r\nimport network\r\n\r\n\r\nclass ModuleTypeLokr(network.ModuleType):\r\n    def create_modul"
  },
  {
    "path": "extensions-builtin/Lora/network_lora.py",
    "chars": 4116,
    "preview": "import torch\r\n\r\nimport lyco_helpers\r\nimport modules.models.sd3.mmdit\r\nimport network\r\nfrom modules import devices\r\n\r\n\r\nc"
  },
  {
    "path": "extensions-builtin/Lora/network_norm.py",
    "chars": 889,
    "preview": "import network\n\n\nclass ModuleTypeNorm(network.ModuleType):\n    def create_module(self, net: network.Network, weights: ne"
  },
  {
    "path": "extensions-builtin/Lora/network_oft.py",
    "chars": 5247,
    "preview": "import torch\nimport network\nfrom einops import rearrange\n\n\nclass ModuleTypeOFT(network.ModuleType):\n    def create_modul"
  },
  {
    "path": "extensions-builtin/Lora/networks.py",
    "chars": 29205,
    "preview": "from __future__ import annotations\r\nimport gradio as gr\r\nimport logging\r\nimport os\r\nimport re\r\n\r\nimport lora_patches\r\nim"
  },
  {
    "path": "extensions-builtin/Lora/preload.py",
    "chars": 513,
    "preview": "import os\r\nfrom modules import paths\r\nfrom modules.paths_internal import normalized_filepath\r\n\r\n\r\ndef preload(parser):\r\n"
  },
  {
    "path": "extensions-builtin/Lora/scripts/lora_script.py",
    "chars": 4182,
    "preview": "import re\r\n\r\nimport gradio as gr\r\nfrom fastapi import FastAPI\r\n\r\nimport network\r\nimport networks\r\nimport lora  # noqa:F4"
  },
  {
    "path": "extensions-builtin/Lora/ui_edit_user_metadata.py",
    "chars": 8703,
    "preview": "import datetime\r\nimport html\r\nimport random\r\n\r\nimport gradio as gr\r\nimport re\r\n\r\nfrom modules import ui_extra_networks_u"
  },
  {
    "path": "extensions-builtin/Lora/ui_extra_networks_lora.py",
    "chars": 3796,
    "preview": "import os\r\n\r\nimport network\r\nimport networks\r\n\r\nfrom modules import shared, ui_extra_networks\r\nfrom modules.ui_extra_net"
  },
  {
    "path": "extensions-builtin/ScuNET/preload.py",
    "chars": 227,
    "preview": "import os\r\nfrom modules import paths\r\n\r\n\r\ndef preload(parser):\r\n    parser.add_argument(\"--scunet-models-path\", type=str"
  },
  {
    "path": "extensions-builtin/ScuNET/scripts/scunet_model.py",
    "chars": 3095,
    "preview": "import sys\n\nimport PIL.Image\n\nimport modules.upscaler\nfrom modules import devices, errors, modelloader, script_callbacks"
  },
  {
    "path": "extensions-builtin/SwinIR/preload.py",
    "chars": 227,
    "preview": "import os\r\nfrom modules import paths\r\n\r\n\r\ndef preload(parser):\r\n    parser.add_argument(\"--swinir-models-path\", type=str"
  },
  {
    "path": "extensions-builtin/SwinIR/scripts/swinir_model.py",
    "chars": 3767,
    "preview": "import logging\nimport sys\n\nimport torch\nfrom PIL import Image\n\nfrom modules import devices, modelloader, script_callback"
  },
  {
    "path": "extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js",
    "chars": 36827,
    "preview": "onUiLoaded(async() => {\n    const elementIDs = {\n        img2imgTabs: \"#mode_img2img .tab-nav\",\n        inpaint: \"#img2m"
  },
  {
    "path": "extensions-builtin/canvas-zoom-and-pan/scripts/hotkey_config.py",
    "chars": 1961,
    "preview": "import gradio as gr\nfrom modules import shared\n\nshared.options_templates.update(shared.options_section(('canvas_hotkey',"
  },
  {
    "path": "extensions-builtin/canvas-zoom-and-pan/style.css",
    "chars": 1097,
    "preview": ".canvas-tooltip-info {\n  position: absolute;\n  top: 10px;\n  left: 10px;\n  cursor: help;\n  background-color: rgba(0, 0, 0"
  },
  {
    "path": "extensions-builtin/extra-options-section/scripts/extra_options_section.py",
    "chars": 4065,
    "preview": "import math\r\n\r\nimport gradio as gr\r\nfrom modules import scripts, shared, ui_components, ui_settings, infotext_utils, err"
  },
  {
    "path": "extensions-builtin/hypertile/hypertile.py",
    "chars": 14160,
    "preview": "\"\"\"\nHypertile module for splitting attention layers in SD-1.5 U-Net and SD-1.5 VAE\nWarn: The patch works well only if th"
  },
  {
    "path": "extensions-builtin/hypertile/scripts/hypertile_script.py",
    "chars": 7451,
    "preview": "import hypertile\r\nfrom modules import scripts, script_callbacks, shared\r\n\r\n\r\nclass ScriptHypertile(scripts.Script):\r\n   "
  },
  {
    "path": "extensions-builtin/mobile/javascript/mobile.js",
    "chars": 1089,
    "preview": "var isSetupForMobile = false;\n\nfunction isMobile() {\n    for (var tab of [\"txt2img\", \"img2img\"]) {\n        var imageTab "
  },
  {
    "path": "extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py",
    "chars": 3145,
    "preview": "from PIL import Image\r\n\r\nfrom modules import scripts_postprocessing, ui_components\r\nimport gradio as gr\r\n\r\n\r\ndef center_"
  },
  {
    "path": "extensions-builtin/postprocessing-for-training/scripts/postprocessing_caption.py",
    "chars": 971,
    "preview": "from modules import scripts_postprocessing, ui_components, deepbooru, shared\r\nimport gradio as gr\r\n\r\n\r\nclass ScriptPostp"
  },
  {
    "path": "extensions-builtin/postprocessing-for-training/scripts/postprocessing_create_flipped_copies.py",
    "chars": 1150,
    "preview": "from PIL import ImageOps, Image\r\n\r\nfrom modules import scripts_postprocessing, ui_components\r\nimport gradio as gr\r\n\r\n\r\nc"
  },
  {
    "path": "extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py",
    "chars": 2392,
    "preview": "\r\nfrom modules import scripts_postprocessing, ui_components, errors\r\nimport gradio as gr\r\n\r\nfrom modules.textual_inversi"
  },
  {
    "path": "extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py",
    "chars": 2481,
    "preview": "import math\r\n\r\nfrom modules import scripts_postprocessing, ui_components\r\nimport gradio as gr\r\n\r\n\r\ndef split_pic(image, "
  },
  {
    "path": "extensions-builtin/prompt-bracket-checker/javascript/prompt-bracket-checker.js",
    "chars": 1714,
    "preview": "// Stable Diffusion WebUI - Bracket checker\n// By Hingashi no Florin/Bwin4L & @akx\n// Counts open and closed brackets (r"
  },
  {
    "path": "extensions-builtin/soft-inpainting/scripts/soft_inpainting.py",
    "chars": 30877,
    "preview": "import numpy as np\nimport gradio as gr\nimport math\nfrom modules.ui_components import InputAccordion\nimport modules.scrip"
  },
  {
    "path": "html/extra-networks-card.html",
    "chars": 360,
    "preview": "<div class=\"card\" style=\"{style}\" onclick=\"{card_clicked}\" data-name=\"{name}\" {sort_keys}>\n\t{background_image}\n\t<div cla"
  },
  {
    "path": "html/extra-networks-copy-path-button.html",
    "chars": 168,
    "preview": "<div class=\"copy-path-button card-button\"\n    title=\"Copy path to clipboard\"\n    onclick=\"extraNetworksCopyCardPath(even"
  },
  {
    "path": "html/extra-networks-edit-item-button.html",
    "chars": 162,
    "preview": "<div class=\"edit-button card-button\"\n    title=\"Edit metadata\"\n    onclick=\"extraNetworksEditUserMetadata(event, '{tabna"
  },
  {
    "path": "html/extra-networks-metadata-button.html",
    "chars": 161,
    "preview": "<div class=\"metadata-button card-button\"\n    title=\"Show internal metadata\"\n    onclick=\"extraNetworksRequestMetadata(ev"
  },
  {
    "path": "html/extra-networks-no-cards.html",
    "chars": 119,
    "preview": "<div class='nocards'>\n<h1>Nothing here. Add some content to the following directories:</h1>\n\n<ul>\n{dirs}\n</ul>\n</div>\n\n"
  },
  {
    "path": "html/extra-networks-pane-dirs.html",
    "chars": 322,
    "preview": "    <div class=\"extra-network-pane-content-dirs\">\r\n        <div id='{tabname}_{extra_networks_tabname}_dirs' class='extr"
  },
  {
    "path": "html/extra-networks-pane-tree.html",
    "chars": 423,
    "preview": "    <div class=\"extra-network-pane-content-tree resize-handle-row\">\r\n        <div id='{tabname}_{extra_networks_tabname}"
  },
  {
    "path": "html/extra-networks-pane.html",
    "chars": 3675,
    "preview": "<div id='{tabname}_{extra_networks_tabname}_pane' class='extra-network-pane {tree_view_div_default_display_class}'>\n    "
  },
  {
    "path": "html/extra-networks-tree-button.html",
    "chars": 912,
    "preview": "<span data-filterable-item-text hidden>{search_terms}</span>\n<div class=\"tree-list-content {subclass}\"\n    type=\"button\""
  },
  {
    "path": "html/footer.html",
    "chars": 532,
    "preview": "<div>\r\n        <a href=\"{api_docs}\">API</a>\r\n         • \r\n        <a href=\"https://github.com/AUTOMATIC1111/stable-diffu"
  },
  {
    "path": "html/licenses.html",
    "chars": 20645,
    "preview": "<style>\r\n    #licenses h2 {font-size: 1.2em; font-weight: bold; margin-bottom: 0.2em;}\r\n    #licenses small {font-size: "
  },
  {
    "path": "javascript/aspectRatioOverlay.js",
    "chars": 3994,
    "preview": "\nlet currentWidth = null;\nlet currentHeight = null;\nlet arFrameTimeout = setTimeout(function() {}, 0);\n\nfunction dimensi"
  },
  {
    "path": "javascript/contextMenus.js",
    "chars": 5658,
    "preview": "\nvar contextMenuInit = function() {\n    let eventListenerApplied = false;\n    let menuSpecs = new Map();\n\n    const uid "
  },
  {
    "path": "javascript/dragdrop.js",
    "chars": 5150,
    "preview": "// allows drag-dropping files into gradio image elements, and also pasting images from clipboard\n\nfunction isValidImageL"
  },
  {
    "path": "javascript/edit-attention.js",
    "chars": 5842,
    "preview": "function keyupEditAttention(event) {\n    let target = event.originalTarget || event.composedPath()[0];\n    if (!target.m"
  },
  {
    "path": "javascript/edit-order.js",
    "chars": 1597,
    "preview": "/* alt+left/right moves text in prompt */\n\nfunction keyupEditOrder(event) {\n    if (!opts.keyedit_move) return;\n\n    let"
  },
  {
    "path": "javascript/extensions.js",
    "chars": 3072,
    "preview": "\nfunction extensions_apply(_disabled_list, _update_list, disable_all) {\n    var disable = [];\n    var update = [];\n    c"
  },
  {
    "path": "javascript/extraNetworks.js",
    "chars": 26954,
    "preview": "function toggleCss(key, css, enable) {\n    var style = document.getElementById(key);\n    if (enable && !style) {\n       "
  },
  {
    "path": "javascript/generationParams.js",
    "chars": 1504,
    "preview": "// attaches listeners to the txt2img and img2img galleries to update displayed generation param text when the image chan"
  },
  {
    "path": "javascript/hints.js",
    "chars": 14565,
    "preview": "// mouseover tooltips for various UI elements\n\nvar titles = {\n    \"Sampling steps\": \"How many times to improve the gener"
  },
  {
    "path": "javascript/hires_fix.js",
    "chars": 886,
    "preview": "\nfunction onCalcResolutionHires(enable, width, height, hr_scale, hr_resize_x, hr_resize_y) {\n    function setInactive(el"
  },
  {
    "path": "javascript/imageMaskFix.js",
    "chars": 1354,
    "preview": "/**\n * temporary fix for https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/668\n * @see https://github.com/g"
  },
  {
    "path": "javascript/imageviewer.js",
    "chars": 9450,
    "preview": "// A full size 'lightbox' preview modal shown when left clicking on gallery previews\nfunction closeModal() {\n    gradioA"
  },
  {
    "path": "javascript/imageviewerGamepad.js",
    "chars": 1844,
    "preview": "let gamepads = [];\n\nwindow.addEventListener('gamepadconnected', (e) => {\n    const index = e.gamepad.index;\n    let isWa"
  },
  {
    "path": "javascript/inputAccordion.js",
    "chars": 2325,
    "preview": "function inputAccordionChecked(id, checked) {\n    var accordion = gradioApp().getElementById(id);\n    accordion.visibleC"
  },
  {
    "path": "javascript/localStorage.js",
    "chars": 534,
    "preview": "\nfunction localSet(k, v) {\n    try {\n        localStorage.setItem(k, v);\n    } catch (e) {\n        console.warn(`Failed "
  },
  {
    "path": "javascript/localization.js",
    "chars": 5708,
    "preview": "\n// localization = {} -- the dict with translations is created by the backend\n\nvar ignore_ids_for_localization = {\n    s"
  },
  {
    "path": "javascript/notification.js",
    "chars": 1676,
    "preview": "// Monitors the gallery and sends a browser notification when the leading image is new.\n\nlet lastHeadImg = null;\n\nlet no"
  },
  {
    "path": "javascript/profilerVisualization.js",
    "chars": 4939,
    "preview": "\nfunction createRow(table, cellName, items) {\n    var tr = document.createElement('tr');\n    var res = [];\n\n    items.fo"
  },
  {
    "path": "javascript/progressbar.js",
    "chars": 6542,
    "preview": "// code related to showing and updating progressbar shown as the image is being made\n\nfunction rememberGallerySelection("
  },
  {
    "path": "javascript/resizeHandle.js",
    "chars": 6623,
    "preview": "(function() {\n    const GRADIO_MIN_WIDTH = 320;\n    const PAD = 16;\n    const DEBOUNCE_TIME = 100;\n    const DOUBLE_TAP_"
  },
  {
    "path": "javascript/settings.js",
    "chars": 2272,
    "preview": "let settingsExcludeTabsFromShowAll = {\n    settings_tab_defaults: 1,\n    settings_tab_sysinfo: 1,\n    settings_tab_actio"
  },
  {
    "path": "javascript/textualInversion.js",
    "chars": 441,
    "preview": "\n\n\nfunction start_training_textual_inversion() {\n    gradioApp().querySelector('#ti_error').innerHTML = '';\n\n    var id "
  },
  {
    "path": "javascript/token-counters.js",
    "chars": 2737,
    "preview": "let promptTokenCountUpdateFunctions = {};\n\nfunction update_txt2img_tokens(...args) {\n    // Called from Gradio\n    updat"
  },
  {
    "path": "javascript/ui.js",
    "chars": 13380,
    "preview": "// various functions for interaction with ui.py not large enough to warrant putting them in separate files\n\nfunction set"
  },
  {
    "path": "javascript/ui_settings_hints.js",
    "chars": 2311,
    "preview": "// various hints and extra info for the settings tab\n\nvar settingsHintsSetup = false;\n\nonOptionsChanged(function() {\n   "
  },
  {
    "path": "launch.py",
    "chars": 1297,
    "preview": "from modules import launch_utils\r\n\r\nargs = launch_utils.args\r\npython = launch_utils.python\r\ngit = launch_utils.git\r\ninde"
  },
  {
    "path": "localizations/Put localization files here.txt",
    "chars": 0,
    "preview": ""
  },
  {
    "path": "modules/api/api.py",
    "chars": 42038,
    "preview": "import base64\nimport io\nimport os\nimport time\nimport datetime\nimport uvicorn\nimport ipaddress\nimport requests\nimport gra"
  },
  {
    "path": "modules/api/models.py",
    "chars": 16555,
    "preview": "import inspect\n\nfrom pydantic import BaseModel, Field, create_model\nfrom typing import Any, Optional, Literal\nfrom infle"
  },
  {
    "path": "modules/cache.py",
    "chars": 4132,
    "preview": "import json\r\nimport os\r\nimport os.path\r\nimport threading\r\n\r\nimport diskcache\r\nimport tqdm\r\n\r\nfrom modules.paths import d"
  },
  {
    "path": "modules/call_queue.py",
    "chars": 5012,
    "preview": "import os.path\r\nfrom functools import wraps\r\nimport html\r\nimport time\r\n\r\nfrom modules import shared, progress, errors, d"
  },
  {
    "path": "modules/cmd_args.py",
    "chars": 18344,
    "preview": "import argparse\r\nimport json\r\nimport os\r\nfrom modules.paths_internal import normalized_filepath, models_path, script_pat"
  },
  {
    "path": "modules/codeformer_model.py",
    "chars": 1911,
    "preview": "from __future__ import annotations\r\n\r\nimport logging\r\n\r\nimport torch\r\n\r\nfrom modules import (\r\n    devices,\r\n    errors,"
  },
  {
    "path": "modules/config_states.py",
    "chars": 5875,
    "preview": "\"\"\"\nSupports saving and restoring webui and extensions from a known working set of commits\n\"\"\"\n\nimport os\nimport json\nim"
  },
  {
    "path": "modules/dat_model.py",
    "chars": 2684,
    "preview": "import os\n\nfrom modules import modelloader, errors\nfrom modules.shared import cmd_opts, opts\nfrom modules.upscaler impor"
  },
  {
    "path": "modules/deepbooru.py",
    "chars": 3039,
    "preview": "import os\nimport re\n\nimport torch\nimport numpy as np\n\nfrom modules import modelloader, paths, deepbooru_model, devices, "
  },
  {
    "path": "modules/deepbooru_model.py",
    "chars": 36341,
    "preview": "import torch\r\nimport torch.nn as nn\r\nimport torch.nn.functional as F\r\n\r\nfrom modules import devices\r\n\r\n# see https://git"
  },
  {
    "path": "modules/devices.py",
    "chars": 8827,
    "preview": "import sys\nimport contextlib\nfrom functools import lru_cache\n\nimport torch\nfrom modules import errors, shared, npu_speci"
  },
  {
    "path": "modules/errors.py",
    "chars": 4585,
    "preview": "import sys\r\nimport textwrap\r\nimport traceback\r\n\r\n\r\nexception_records = []\r\n\r\n\r\ndef format_traceback(tb):\r\n    return [[f"
  },
  {
    "path": "modules/esrgan_model.py",
    "chars": 2188,
    "preview": "from modules import modelloader, devices, errors\r\nfrom modules.shared import opts\r\nfrom modules.upscaler import Upscaler"
  },
  {
    "path": "modules/extensions.py",
    "chars": 11320,
    "preview": "from __future__ import annotations\r\n\r\nimport configparser\r\nimport dataclasses\r\nimport os\r\nimport threading\r\nimport re\r\n\r"
  },
  {
    "path": "modules/extra_networks.py",
    "chars": 7290,
    "preview": "import json\r\nimport os\r\nimport re\r\nimport logging\r\nfrom collections import defaultdict\r\n\r\nfrom modules import errors\r\n\r\n"
  },
  {
    "path": "modules/extra_networks_hypernet.py",
    "chars": 1148,
    "preview": "from modules import extra_networks, shared\r\nfrom modules.hypernetworks import hypernetwork\r\n\r\n\r\nclass ExtraNetworkHypern"
  },
  {
    "path": "modules/extras.py",
    "chars": 12610,
    "preview": "import os\r\nimport re\r\nimport shutil\r\nimport json\r\n\r\n\r\nimport torch\r\nimport tqdm\r\n\r\nfrom modules import shared, images, s"
  },
  {
    "path": "modules/face_restoration.py",
    "chars": 494,
    "preview": "from modules import shared\r\n\r\n\r\nclass FaceRestoration:\r\n    def name(self):\r\n        return \"None\"\r\n\r\n    def restore(se"
  },
  {
    "path": "modules/face_restoration_utils.py",
    "chars": 6443,
    "preview": "from __future__ import annotations\n\nimport logging\nimport os\nfrom functools import cached_property\nfrom typing import TY"
  },
  {
    "path": "modules/fifo_lock.py",
    "chars": 1020,
    "preview": "import threading\nimport collections\n\n\n# reference: https://gist.github.com/vitaliyp/6d54dd76ca2c3cdfc1149d33007dc34a\ncla"
  },
  {
    "path": "modules/gfpgan_model.py",
    "chars": 2097,
    "preview": "from __future__ import annotations\r\n\r\nimport logging\r\nimport os\r\n\r\nimport torch\r\n\r\nfrom modules import (\r\n    devices,\r\n"
  },
  {
    "path": "modules/gitpython_hack.py",
    "chars": 1464,
    "preview": "from __future__ import annotations\n\nimport io\nimport subprocess\n\nimport git\n\n\nclass Git(git.Git):\n    \"\"\"\n    Git subcla"
  },
  {
    "path": "modules/gradio_extensons.py",
    "chars": 2743,
    "preview": "import gradio as gr\r\n\r\nfrom modules import scripts, ui_tempdir, patches\r\n\r\n\r\ndef add_classes_to_gradio_component(comp):\r"
  },
  {
    "path": "modules/hashes.py",
    "chars": 2197,
    "preview": "import hashlib\r\nimport os.path\r\n\r\nfrom modules import shared\r\nimport modules.cache\r\n\r\ndump_cache = modules.cache.dump_ca"
  },
  {
    "path": "modules/hat_model.py",
    "chars": 1685,
    "preview": "import os\r\nimport sys\r\n\r\nfrom modules import modelloader, devices\r\nfrom modules.shared import opts\r\nfrom modules.upscale"
  },
  {
    "path": "modules/hypernetworks/hypernetwork.py",
    "chars": 35924,
    "preview": "import datetime\r\nimport glob\r\nimport html\r\nimport os\r\nimport inspect\r\nfrom contextlib import closing\r\n\r\nimport modules.t"
  },
  {
    "path": "modules/hypernetworks/ui.py",
    "chars": 1520,
    "preview": "import html\r\n\r\nimport gradio as gr\r\nimport modules.hypernetworks.hypernetwork\r\nfrom modules import devices, sd_hijack, s"
  },
  {
    "path": "modules/images.py",
    "chars": 35653,
    "preview": "from __future__ import annotations\r\n\r\nimport datetime\r\nimport functools\r\nimport pytz\r\nimport io\r\nimport math\r\nimport os\r"
  },
  {
    "path": "modules/img2img.py",
    "chars": 11799,
    "preview": "import os\r\nfrom contextlib import closing\r\nfrom pathlib import Path\r\n\r\nimport numpy as np\r\nfrom PIL import Image, ImageO"
  },
  {
    "path": "modules/import_hook.py",
    "chars": 654,
    "preview": "import sys\n\n# this will break any attempt to import xformers which will prevent stability diffusion repo from trying to "
  },
  {
    "path": "modules/infotext_utils.py",
    "chars": 19851,
    "preview": "from __future__ import annotations\r\nimport base64\r\nimport io\r\nimport json\r\nimport os\r\nimport re\r\nimport sys\r\n\r\nimport gr"
  },
  {
    "path": "modules/infotext_versions.py",
    "chars": 1113,
    "preview": "from modules import shared\r\nfrom packaging import version\r\nimport re\r\n\r\n\r\nv160 = version.parse(\"1.6.0\")\r\nv170_tsnr = ver"
  },
  {
    "path": "modules/initialize.py",
    "chars": 5887,
    "preview": "import importlib\r\nimport logging\r\nimport os\r\nimport sys\r\nimport warnings\r\nfrom threading import Thread\r\n\r\nfrom modules.t"
  },
  {
    "path": "modules/initialize_util.py",
    "chars": 8465,
    "preview": "import json\r\nimport os\r\nimport signal\r\nimport sys\r\nimport re\r\n\r\nfrom modules.timer import startup_timer\r\n\r\n\r\ndef gradio_"
  },
  {
    "path": "modules/interrogate.py",
    "chars": 8589,
    "preview": "import os\r\nimport sys\r\nfrom collections import namedtuple\r\nfrom pathlib import Path\r\nimport re\r\n\r\nimport torch\r\nimport t"
  },
  {
    "path": "modules/launch_utils.py",
    "chars": 20319,
    "preview": "# this scripts installs necessary requirements and launches main program in webui.py\r\nimport logging\r\nimport re\r\nimport "
  },
  {
    "path": "modules/localization.py",
    "chars": 1084,
    "preview": "import json\r\nimport os\r\n\r\nfrom modules import errors, scripts\r\n\r\nlocalizations = {}\r\n\r\n\r\ndef list_localizations(dirname)"
  },
  {
    "path": "modules/logging_config.py",
    "chars": 1616,
    "preview": "import logging\r\nimport os\r\n\r\ntry:\r\n    from tqdm import tqdm\r\n\r\n\r\n    class TqdmLoggingHandler(logging.Handler):\r\n      "
  },
  {
    "path": "modules/lowvram.py",
    "chars": 6239,
    "preview": "from collections import namedtuple\r\n\r\nimport torch\r\nfrom modules import devices, shared\r\n\r\nmodule_in_gpu = None\r\ncpu = t"
  },
  {
    "path": "modules/mac_specific.py",
    "chars": 5902,
    "preview": "import logging\n\nimport torch\nfrom torch import Tensor\nimport platform\nfrom modules.sd_hijack_utils import CondFunc\nfrom "
  },
  {
    "path": "modules/masking.py",
    "chars": 3751,
    "preview": "from PIL import Image, ImageFilter, ImageOps\r\n\r\n\r\ndef get_crop_region_v2(mask, pad=0):\r\n    \"\"\"\r\n    Finds a rectangular"
  },
  {
    "path": "modules/memmon.py",
    "chars": 2755,
    "preview": "import threading\nimport time\nfrom collections import defaultdict\n\nimport torch\n\n\nclass MemUsageMonitor(threading.Thread)"
  },
  {
    "path": "modules/modelloader.py",
    "chars": 7022,
    "preview": "from __future__ import annotations\n\nimport importlib\nimport logging\nimport os\nfrom typing import TYPE_CHECKING\nfrom urll"
  },
  {
    "path": "modules/models/diffusion/ddpm_edit.py",
    "chars": 67976,
    "preview": "\"\"\"\nwild mixture of\nhttps://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e316"
  },
  {
    "path": "modules/models/diffusion/uni_pc/__init__.py",
    "chars": 48,
    "preview": "from .sampler import UniPCSampler  # noqa: F401\n"
  },
  {
    "path": "modules/models/diffusion/uni_pc/sampler.py",
    "chars": 3897,
    "preview": "\"\"\"SAMPLING ONLY.\"\"\"\n\nimport torch\n\nfrom .uni_pc import NoiseScheduleVP, model_wrapper, UniPC\nfrom modules import shared"
  },
  {
    "path": "modules/models/diffusion/uni_pc/uni_pc.py",
    "chars": 37903,
    "preview": "import torch\nimport math\nimport tqdm\n\n\nclass NoiseScheduleVP:\n    def __init__(\n            self,\n            schedule='"
  },
  {
    "path": "modules/models/sd3/mmdit.py",
    "chars": 24480,
    "preview": "### This file contains impls for MM-DiT, the core model component of SD3\n\nimport math\nfrom typing import Dict, Optional\n"
  },
  {
    "path": "modules/models/sd3/other_impls.py",
    "chars": 24104,
    "preview": "### This file contains impls for underlying related models (CLIP, T5, etc)\n\nimport torch\nimport math\nfrom torch import n"
  },
  {
    "path": "modules/models/sd3/sd3_cond.py",
    "chars": 8119,
    "preview": "import os\r\nimport safetensors\r\nimport torch\r\nimport typing\r\n\r\nfrom transformers import CLIPTokenizer, T5TokenizerFast\r\n\r"
  },
  {
    "path": "modules/models/sd3/sd3_impls.py",
    "chars": 16415,
    "preview": "### Impls of the SD3 core diffusion model and VAE\n\nimport torch\nimport math\nimport einops\nfrom modules.models.sd3.mmdit "
  },
  {
    "path": "modules/models/sd3/sd3_model.py",
    "chars": 3903,
    "preview": "import contextlib\r\n\r\nimport torch\r\n\r\nimport k_diffusion\r\nfrom modules.models.sd3.sd3_impls import BaseModel, SDVAE, SD3L"
  },
  {
    "path": "modules/ngrok.py",
    "chars": 1146,
    "preview": "import ngrok\n\n# Connect to ngrok for ingress\ndef connect(token, port, options):\n    account = None\n    if token is None:"
  },
  {
    "path": "modules/npu_specific.py",
    "chars": 649,
    "preview": "import importlib\nimport torch\n\nfrom modules import shared\n\n\ndef check_for_npu():\n    if importlib.util.find_spec(\"torch_"
  },
  {
    "path": "modules/options.py",
    "chars": 13089,
    "preview": "import os\r\nimport json\r\nimport sys\r\nfrom dataclasses import dataclass\r\n\r\nimport gradio as gr\r\n\r\nfrom modules import erro"
  },
  {
    "path": "modules/patches.py",
    "chars": 1831,
    "preview": "from collections import defaultdict\r\n\r\n\r\ndef patch(key, obj, field, replacement):\r\n    \"\"\"Replaces a function in a modul"
  },
  {
    "path": "modules/paths.py",
    "chars": 2367,
    "preview": "import os\r\nimport sys\r\nfrom modules.paths_internal import models_path, script_path, data_path, extensions_dir, extension"
  },
  {
    "path": "modules/paths_internal.py",
    "chars": 1679,
    "preview": "\"\"\"this module defines internal paths used by program and is safe to import before dependencies are installed in launch."
  },
  {
    "path": "modules/postprocessing.py",
    "chars": 6640,
    "preview": "import os\r\n\r\nfrom PIL import Image\r\n\r\nfrom modules import shared, images, devices, scripts, scripts_postprocessing, ui_c"
  },
  {
    "path": "modules/processing.py",
    "chars": 81170,
    "preview": "from __future__ import annotations\r\nimport json\r\nimport logging\r\nimport math\r\nimport os\r\nimport sys\r\nimport hashlib\r\nfro"
  },
  {
    "path": "modules/processing_scripts/comments.py",
    "chars": 1743,
    "preview": "from modules import scripts, shared, script_callbacks\r\nimport re\r\n\r\n\r\ndef strip_comments(text):\r\n    text = re.sub('(^|\\"
  },
  {
    "path": "modules/processing_scripts/refiner.py",
    "chars": 2320,
    "preview": "import gradio as gr\r\n\r\nfrom modules import scripts, sd_models\r\nfrom modules.infotext_utils import PasteField\r\nfrom modul"
  },
  {
    "path": "modules/processing_scripts/sampler.py",
    "chars": 2252,
    "preview": "import gradio as gr\r\n\r\nfrom modules import scripts, sd_samplers, sd_schedulers, shared\r\nfrom modules.infotext_utils impo"
  },
  {
    "path": "modules/processing_scripts/seed.py",
    "chars": 5515,
    "preview": "import json\r\n\r\nimport gradio as gr\r\n\r\nfrom modules import scripts, ui, errors\r\nfrom modules.infotext_utils import PasteF"
  },
  {
    "path": "modules/profiling.py",
    "chars": 1347,
    "preview": "import torch\r\n\r\nfrom modules import shared, ui_gradio_extensions\r\n\r\n\r\nclass Profiler:\r\n    def __init__(self):\r\n        "
  },
  {
    "path": "modules/progress.py",
    "chars": 5977,
    "preview": "import base64\r\nimport io\r\nimport time\r\n\r\nimport gradio as gr\r\nfrom pydantic import BaseModel, Field\r\n\r\nfrom modules.shar"
  },
  {
    "path": "modules/prompt_parser.py",
    "chars": 16743,
    "preview": "from __future__ import annotations\r\n\r\nimport re\r\nfrom collections import namedtuple\r\nimport lark\r\n\r\n# a prompt like this"
  },
  {
    "path": "modules/realesrgan_model.py",
    "chars": 4058,
    "preview": "import os\r\n\r\nfrom modules import modelloader, errors\r\nfrom modules.shared import cmd_opts, opts\r\nfrom modules.upscaler i"
  },
  {
    "path": "modules/restart.py",
    "chars": 638,
    "preview": "import os\nfrom pathlib import Path\n\nfrom modules.paths_internal import script_path\n\n\ndef is_restartable() -> bool:\n    \""
  },
  {
    "path": "modules/rng.py",
    "chars": 6516,
    "preview": "import torch\r\n\r\nfrom modules import devices, rng_philox, shared\r\n\r\n\r\ndef randn(seed, shape, generator=None):\r\n    \"\"\"Gen"
  },
  {
    "path": "modules/rng_philox.py",
    "chars": 3087,
    "preview": "\"\"\"RNG imitiating torch cuda randn on CPU. You are welcome.\r\n\r\nUsage:\r\n\r\n```\r\ng = Generator(seed=0)\r\nprint(g.randn(shape"
  },
  {
    "path": "modules/safe.py",
    "chars": 7126,
    "preview": "# this code is adapted from the script contributed by anon from /h/\r\n\r\nimport pickle\r\nimport collections\r\n\r\nimport torch"
  },
  {
    "path": "modules/script_callbacks.py",
    "chars": 22112,
    "preview": "from __future__ import annotations\r\n\r\nimport dataclasses\r\nimport inspect\r\nimport os\r\nfrom typing import Optional, Any\r\n\r"
  },
  {
    "path": "modules/script_loading.py",
    "chars": 1052,
    "preview": "import os\r\nimport importlib.util\r\n\r\nfrom modules import errors\r\n\r\n\r\nloaded_scripts = {}\r\n\r\n\r\ndef load_module(path):\r\n   "
  },
  {
    "path": "modules/scripts.py",
    "chars": 41802,
    "preview": "import os\r\nimport re\r\nimport sys\r\nimport inspect\r\nfrom collections import namedtuple\r\nfrom dataclasses import dataclass\r"
  },
  {
    "path": "modules/scripts_auto_postprocessing.py",
    "chars": 1491,
    "preview": "from modules import scripts, scripts_postprocessing, shared\r\n\r\n\r\nclass ScriptPostprocessingForMainUI(scripts.Script):\r\n "
  },
  {
    "path": "modules/scripts_postprocessing.py",
    "chars": 7226,
    "preview": "import dataclasses\r\nimport os\r\nimport gradio as gr\r\n\r\nfrom modules import errors, shared\r\n\r\n\r\n@dataclasses.dataclass\r\ncl"
  },
  {
    "path": "modules/sd_disable_initialization.py",
    "chars": 11425,
    "preview": "import ldm.modules.encoders.modules\r\nimport open_clip\r\nimport torch\r\nimport transformers.utils.hub\r\n\r\nfrom modules impor"
  },
  {
    "path": "modules/sd_emphasis.py",
    "chars": 2131,
    "preview": "from __future__ import annotations\r\nimport torch\r\n\r\n\r\nclass Emphasis:\r\n    \"\"\"Emphasis class decides how to death with ("
  },
  {
    "path": "modules/sd_hijack.py",
    "chars": 17795,
    "preview": "import torch\r\nfrom torch.nn.functional import silu\r\nfrom types import MethodType\r\n\r\nfrom modules import devices, sd_hija"
  },
  {
    "path": "modules/sd_hijack_checkpoint.py",
    "chars": 1253,
    "preview": "from torch.utils.checkpoint import checkpoint\n\nimport ldm.modules.attention\nimport ldm.modules.diffusionmodules.openaimo"
  },
  {
    "path": "modules/sd_hijack_clip.py",
    "chars": 15725,
    "preview": "import math\r\nfrom collections import namedtuple\r\n\r\nimport torch\r\n\r\nfrom modules import prompt_parser, devices, sd_hijack"
  },
  {
    "path": "modules/sd_hijack_clip_old.py",
    "chars": 3586,
    "preview": "from modules import sd_hijack_clip\r\nfrom modules import shared\r\n\r\n\r\ndef process_text_old(self: sd_hijack_clip.FrozenCLIP"
  },
  {
    "path": "modules/sd_hijack_ip2p.py",
    "chars": 360,
    "preview": "import os.path\n\n\ndef should_hijack_ip2p(checkpoint_info):\n    from modules import sd_models_config\n\n    ckpt_basename = "
  },
  {
    "path": "modules/sd_hijack_open_clip.py",
    "chars": 2620,
    "preview": "import open_clip.tokenizer\r\nimport torch\r\n\r\nfrom modules import sd_hijack_clip, devices\r\nfrom modules.shared import opts"
  },
  {
    "path": "modules/sd_hijack_optimizations.py",
    "chars": 24557,
    "preview": "from __future__ import annotations\r\nimport math\r\nimport psutil\r\nimport platform\r\n\r\nimport torch\r\nfrom torch import einsu"
  },
  {
    "path": "modules/sd_hijack_unet.py",
    "chars": 7267,
    "preview": "import torch\r\nfrom packaging import version\r\nfrom einops import repeat\r\nimport math\r\n\r\nfrom modules import devices\r\nfrom"
  },
  {
    "path": "modules/sd_hijack_utils.py",
    "chars": 1558,
    "preview": "import importlib\r\n\r\n\r\nalways_true_func = lambda *args, **kwargs: True\r\n\r\n\r\nclass CondFunc:\r\n    def __new__(cls, orig_fu"
  },
  {
    "path": "modules/sd_hijack_xlmr.py",
    "chars": 1449,
    "preview": "import torch\r\n\r\nfrom modules import sd_hijack_clip, devices\r\n\r\n\r\nclass FrozenXLMREmbedderWithCustomWords(sd_hijack_clip."
  },
  {
    "path": "modules/sd_models.py",
    "chars": 37536,
    "preview": "import collections\r\nimport importlib\r\nimport os\r\nimport sys\r\nimport threading\r\nimport enum\r\n\r\nimport torch\r\nimport re\r\ni"
  },
  {
    "path": "modules/sd_models_config.py",
    "chars": 5597,
    "preview": "import os\r\n\r\nimport torch\r\n\r\nfrom modules import shared, paths, sd_disable_initialization, devices\r\n\r\nsd_configs_path = "
  },
  {
    "path": "modules/sd_models_types.py",
    "chars": 1284,
    "preview": "from ldm.models.diffusion.ddpm import LatentDiffusion\r\nfrom typing import TYPE_CHECKING\r\n\r\n\r\nif TYPE_CHECKING:\r\n    from"
  },
  {
    "path": "modules/sd_models_xl.py",
    "chars": 5007,
    "preview": "from __future__ import annotations\r\n\r\nimport torch\r\n\r\nimport sgm.models.diffusion\r\nimport sgm.modules.diffusionmodules.d"
  }
]

// ... and 98 more files (download for full content)