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Repository: camenduru/Diffutoon-jupyter
Branch: main
Commit: 6ac80dc7a2fe
Files: 3
Total size: 24.0 KB

Directory structure:
gitextract_11r30370/

├── Diffutoon_color_jupyter.ipynb
├── Diffutoon_jupyter.ipynb
└── README.md

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FILE CONTENTS
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================================================
FILE: Diffutoon_color_jupyter.ipynb
================================================
{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github"
      },
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/Diffutoon-jupyter/blob/main/Diffutoon_color_jupyter.ipynb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VjYy0F2gZIPR"
      },
      "outputs": [],
      "source": [
        "# https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/Diffutoon/Diffutoon.ipynb modified\n",
        "\n",
        "%cd /content\n",
        "!git clone https://github.com/Artiprocher/DiffSynth-Studio\n",
        "%cd /content/DiffSynth-Studio\n",
        "\n",
        "!pip install -q einops transformers controlnet-aux==0.0.7 sentencepiece imageio imageio-ffmpeg\n",
        "\n",
        "!apt -y install -qq aria2\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://civitai.com/api/download/models/229575 -d /content/DiffSynth-Studio/models/stable_diffusion -o aingdiffusion_v12.safetensors\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt -d /content/DiffSynth-Studio/models/AnimateDiff -o mm_sd_v15_v2.ckpt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11p_sd15_lineart.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11f1e_sd15_tile.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11f1p_sd15_depth.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11p_sd15_softedge.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/dpt_hybrid-midas-501f0c75.pt -d /content/DiffSynth-Studio/models/Annotators -o dpt_hybrid-midas-501f0c75.pt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/ControlNetHED.pth -d /content/DiffSynth-Studio/models/Annotators -o ControlNetHED.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model.pth -d /content/DiffSynth-Studio/models/Annotators -o sk_model.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model2.pth -d /content/DiffSynth-Studio/models/Annotators -o sk_model2.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M \"https://civitai.com/api/download/models/25820?type=Model&format=PickleTensor&size=full&fp=fp16\" -d /content/DiffSynth-Studio/models/textual_inversion -o verybadimagenegative_v1.3.pt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/Diffutoon/resolve/main/input_video.mp4 -d /content -o input_video.mp4"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "config_stage_1_template = {\n",
        "    \"models\": {\n",
        "        \"model_list\": [\n",
        "            \"models/stable_diffusion/aingdiffusion_v12.safetensors\",\n",
        "            \"models/ControlNet/control_v11p_sd15_softedge.pth\",\n",
        "            \"models/ControlNet/control_v11f1p_sd15_depth.pth\"\n",
        "        ],\n",
        "        \"textual_inversion_folder\": \"models/textual_inversion\",\n",
        "        \"device\": \"cuda\",\n",
        "        \"lora_alphas\": [],\n",
        "        \"controlnet_units\": [\n",
        "            {\n",
        "                \"processor_id\": \"softedge\",\n",
        "                \"model_path\": \"models/ControlNet/control_v11p_sd15_softedge.pth\",\n",
        "                \"scale\": 0.5\n",
        "            },\n",
        "            {\n",
        "                \"processor_id\": \"depth\",\n",
        "                \"model_path\": \"models/ControlNet/control_v11f1p_sd15_depth.pth\",\n",
        "                \"scale\": 0.5\n",
        "            }\n",
        "        ]\n",
        "    },\n",
        "    \"data\": {\n",
        "        \"input_frames\": {\n",
        "            \"video_file\": \"/content/input_video.mp4\",\n",
        "            \"image_folder\": None,\n",
        "            \"height\": 512,\n",
        "            \"width\": 512,\n",
        "            \"start_frame_id\": 0,\n",
        "            \"end_frame_id\": 30\n",
        "        },\n",
        "        \"controlnet_frames\": [\n",
        "            {\n",
        "                \"video_file\": \"/content/input_video.mp4\",\n",
        "                \"image_folder\": None,\n",
        "                \"height\": 512,\n",
        "                \"width\": 512,\n",
        "                \"start_frame_id\": 0,\n",
        "                \"end_frame_id\": 30\n",
        "            },\n",
        "            {\n",
        "                \"video_file\": \"/content/input_video.mp4\",\n",
        "                \"image_folder\": None,\n",
        "                \"height\": 512,\n",
        "                \"width\": 512,\n",
        "                \"start_frame_id\": 0,\n",
        "                \"end_frame_id\": 30\n",
        "            }\n",
        "        ],\n",
        "        \"output_folder\": \"data/examples/diffutoon_edit/color_video\",\n",
        "        \"fps\": 25\n",
        "    },\n",
        "    \"smoother_configs\": [\n",
        "        {\n",
        "            \"processor_type\": \"FastBlend\",\n",
        "            \"config\": {}\n",
        "        }\n",
        "    ],\n",
        "    \"pipeline\": {\n",
        "        \"seed\": 0,\n",
        "        \"pipeline_inputs\": {\n",
        "            \"prompt\": \"best quality, perfect anime illustration, orange clothes, night, a girl is dancing, smile, solo, black silk stockings\",\n",
        "            \"negative_prompt\": \"verybadimagenegative_v1.3\",\n",
        "            \"cfg_scale\": 7.0,\n",
        "            \"clip_skip\": 1,\n",
        "            \"denoising_strength\": 0.9,\n",
        "            \"num_inference_steps\": 20,\n",
        "            \"animatediff_batch_size\": 8,\n",
        "            \"animatediff_stride\": 4,\n",
        "            \"unet_batch_size\": 8,\n",
        "            \"controlnet_batch_size\": 8,\n",
        "            \"cross_frame_attention\": True,\n",
        "            \"smoother_progress_ids\": [-1],\n",
        "            # The following parameters will be overwritten. You don't need to modify them.\n",
        "            \"input_frames\": [],\n",
        "            \"num_frames\": 30,\n",
        "            \"width\": 512,\n",
        "            \"height\": 512,\n",
        "            \"controlnet_frames\": []\n",
        "        }\n",
        "    }\n",
        "}\n",
        "\n",
        "from diffsynth import SDVideoPipelineRunner\n",
        "\n",
        "config_stage_1 = config_stage_1_template.copy()\n",
        "config_stage_1[\"data\"][\"input_frames\"] = {\n",
        "    \"video_file\": \"/content/input_video.mp4\",\n",
        "    \"image_folder\": None,\n",
        "    \"height\": 512,\n",
        "    \"width\": 512,\n",
        "    \"start_frame_id\": 0,\n",
        "    \"end_frame_id\": 30\n",
        "}\n",
        "config_stage_1[\"data\"][\"controlnet_frames\"] = [config_stage_1[\"data\"][\"input_frames\"], config_stage_1[\"data\"][\"input_frames\"]]\n",
        "config_stage_1[\"data\"][\"output_folder\"] = \"/content/color_video\"\n",
        "config_stage_1[\"data\"][\"fps\"] = 25\n",
        "config_stage_1[\"pipeline\"][\"pipeline_inputs\"][\"prompt\"] = \"best quality, perfect anime illustration, orange clothes, night, a girl is dancing, smile, solo, black silk stockings\"\n",
        "\n",
        "runner = SDVideoPipelineRunner()\n",
        "runner.run(config_stage_1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# If T4, at this point, restart and run the next cell."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "config_stage_2_template = {\n",
        "    \"models\": {\n",
        "        \"model_list\": [\n",
        "            \"models/stable_diffusion/aingdiffusion_v12.safetensors\",\n",
        "            \"models/AnimateDiff/mm_sd_v15_v2.ckpt\",\n",
        "            \"models/ControlNet/control_v11f1e_sd15_tile.pth\",\n",
        "            \"models/ControlNet/control_v11p_sd15_lineart.pth\"\n",
        "        ],\n",
        "        \"textual_inversion_folder\": \"models/textual_inversion\",\n",
        "        \"device\": \"cuda\",\n",
        "        \"lora_alphas\": [],\n",
        "        \"controlnet_units\": [\n",
        "            {\n",
        "                \"processor_id\": \"tile\",\n",
        "                \"model_path\": \"models/ControlNet/control_v11f1e_sd15_tile.pth\",\n",
        "                \"scale\": 0.5\n",
        "            },\n",
        "            {\n",
        "                \"processor_id\": \"lineart\",\n",
        "                \"model_path\": \"models/ControlNet/control_v11p_sd15_lineart.pth\",\n",
        "                \"scale\": 0.5\n",
        "            }\n",
        "        ]\n",
        "    },\n",
        "    \"data\": {\n",
        "        \"input_frames\": {\n",
        "            \"video_file\": \"/content/input_video.mp4\",\n",
        "            \"image_folder\": None,\n",
        "            \"height\": 1024,\n",
        "            \"width\": 1024,\n",
        "            \"start_frame_id\": 0,\n",
        "            \"end_frame_id\": 30\n",
        "        },\n",
        "        \"controlnet_frames\": [\n",
        "            {\n",
        "                \"video_file\": \"/content/input_video.mp4\",\n",
        "                \"image_folder\": None,\n",
        "                \"height\": 1024,\n",
        "                \"width\": 1024,\n",
        "                \"start_frame_id\": 0,\n",
        "                \"end_frame_id\": 30\n",
        "            },\n",
        "            {\n",
        "                \"video_file\": \"/content/input_video.mp4\",\n",
        "                \"image_folder\": None,\n",
        "                \"height\": 1024,\n",
        "                \"width\": 1024,\n",
        "                \"start_frame_id\": 0,\n",
        "                \"end_frame_id\": 30\n",
        "            }\n",
        "        ],\n",
        "        \"output_folder\": \"/content/output\",\n",
        "        \"fps\": 25\n",
        "    },\n",
        "    \"pipeline\": {\n",
        "        \"seed\": 0,\n",
        "        \"pipeline_inputs\": {\n",
        "            \"prompt\": \"best quality, perfect anime illustration, light, a girl is dancing, smile, solo\",\n",
        "            \"negative_prompt\": \"verybadimagenegative_v1.3\",\n",
        "            \"cfg_scale\": 7.0,\n",
        "            \"clip_skip\": 2,\n",
        "            \"denoising_strength\": 1.0,\n",
        "            \"num_inference_steps\": 10,\n",
        "            \"animatediff_batch_size\": 16,\n",
        "            \"animatediff_stride\": 8,\n",
        "            \"unet_batch_size\": 1,\n",
        "            \"controlnet_batch_size\": 1,\n",
        "            \"cross_frame_attention\": False,\n",
        "            # The following parameters will be overwritten. You don't need to modify them.\n",
        "            \"input_frames\": [],\n",
        "            \"num_frames\": 30,\n",
        "            \"width\": 1536,\n",
        "            \"height\": 1536,\n",
        "            \"controlnet_frames\": []\n",
        "        }\n",
        "    }\n",
        "}\n",
        "\n",
        "from diffsynth import SDVideoPipelineRunner\n",
        "\n",
        "config_stage_2 = config_stage_2_template.copy()\n",
        "config_stage_2[\"data\"][\"input_frames\"] = {\n",
        "    \"video_file\": \"/content/input_video.mp4\",\n",
        "    \"image_folder\": None,\n",
        "    \"height\": 1024,\n",
        "    \"width\": 1024,\n",
        "    \"start_frame_id\": 0,\n",
        "    \"end_frame_id\": 30\n",
        "}\n",
        "config_stage_2[\"data\"][\"controlnet_frames\"][0] = {\n",
        "    \"video_file\": \"/content/color_video/video.mp4\",\n",
        "    \"image_folder\": None,\n",
        "    \"height\": config_stage_2[\"data\"][\"input_frames\"][\"height\"],\n",
        "    \"width\": config_stage_2[\"data\"][\"input_frames\"][\"width\"],\n",
        "    \"start_frame_id\": None,\n",
        "    \"end_frame_id\": None\n",
        "}\n",
        "config_stage_2[\"data\"][\"controlnet_frames\"][1] = config_stage_2[\"data\"][\"input_frames\"]\n",
        "config_stage_2[\"data\"][\"output_folder\"] = \"/content/edit_video\"\n",
        "config_stage_2[\"data\"][\"fps\"] = 25\n",
        "\n",
        "runner = SDVideoPipelineRunner()\n",
        "runner.run(config_stage_2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "import moviepy.editor\n",
        "moviepy.editor.ipython_display(\"/content/edit_video/video.mp4\")"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}


================================================
FILE: Diffutoon_jupyter.ipynb
================================================
{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github"
      },
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/Diffutoon-jupyter/blob/main/Diffutoon_jupyter.ipynb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VjYy0F2gZIPR"
      },
      "outputs": [],
      "source": [
        "# https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/Diffutoon/Diffutoon.ipynb modified\n",
        "\n",
        "%cd /content\n",
        "!git clone https://github.com/Artiprocher/DiffSynth-Studio\n",
        "%cd /content/DiffSynth-Studio\n",
        "\n",
        "!pip install -q einops transformers controlnet-aux==0.0.7 sentencepiece imageio imageio-ffmpeg\n",
        "\n",
        "!apt -y install -qq aria2\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://civitai.com/api/download/models/229575 -d /content/DiffSynth-Studio/models/stable_diffusion -o aingdiffusion_v12.safetensors\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt -d /content/DiffSynth-Studio/models/AnimateDiff -o mm_sd_v15_v2.ckpt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11p_sd15_lineart.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11f1e_sd15_tile.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11f1p_sd15_depth.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge.pth -d /content/DiffSynth-Studio/models/ControlNet -o control_v11p_sd15_softedge.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/dpt_hybrid-midas-501f0c75.pt -d /content/DiffSynth-Studio/models/Annotators -o dpt_hybrid-midas-501f0c75.pt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/ControlNetHED.pth -d /content/DiffSynth-Studio/models/Annotators -o ControlNetHED.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model.pth -d /content/DiffSynth-Studio/models/Annotators -o sk_model.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model2.pth -d /content/DiffSynth-Studio/models/Annotators -o sk_model2.pth\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M \"https://civitai.com/api/download/models/25820?type=Model&format=PickleTensor&size=full&fp=fp16\" -d /content/DiffSynth-Studio/models/textual_inversion -o verybadimagenegative_v1.3.pt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/Diffutoon/resolve/main/input_video.mp4 -d /content -o input_video.mp4"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "config_stage_2_template = {\n",
        "    \"models\": {\n",
        "        \"model_list\": [\n",
        "            \"models/stable_diffusion/aingdiffusion_v12.safetensors\",\n",
        "            \"models/AnimateDiff/mm_sd_v15_v2.ckpt\",\n",
        "            \"models/ControlNet/control_v11f1e_sd15_tile.pth\",\n",
        "            \"models/ControlNet/control_v11p_sd15_lineart.pth\"\n",
        "        ],\n",
        "        \"textual_inversion_folder\": \"models/textual_inversion\",\n",
        "        \"device\": \"cuda\",\n",
        "        \"lora_alphas\": [],\n",
        "        \"controlnet_units\": [\n",
        "            {\n",
        "                \"processor_id\": \"tile\",\n",
        "                \"model_path\": \"models/ControlNet/control_v11f1e_sd15_tile.pth\",\n",
        "                \"scale\": 0.5\n",
        "            },\n",
        "            {\n",
        "                \"processor_id\": \"lineart\",\n",
        "                \"model_path\": \"models/ControlNet/control_v11p_sd15_lineart.pth\",\n",
        "                \"scale\": 0.5\n",
        "            }\n",
        "        ]\n",
        "    },\n",
        "    \"data\": {\n",
        "        \"input_frames\": {\n",
        "            \"video_file\": \"/content/input_video.mp4\",\n",
        "            \"image_folder\": None,\n",
        "            \"height\": 1024,\n",
        "            \"width\": 1024,\n",
        "            \"start_frame_id\": 0,\n",
        "            \"end_frame_id\": 30\n",
        "        },\n",
        "        \"controlnet_frames\": [\n",
        "            {\n",
        "                \"video_file\": \"/content/input_video.mp4\",\n",
        "                \"image_folder\": None,\n",
        "                \"height\": 1024,\n",
        "                \"width\": 1024,\n",
        "                \"start_frame_id\": 0,\n",
        "                \"end_frame_id\": 30\n",
        "            },\n",
        "            {\n",
        "                \"video_file\": \"/content/input_video.mp4\",\n",
        "                \"image_folder\": None,\n",
        "                \"height\": 1024,\n",
        "                \"width\": 1024,\n",
        "                \"start_frame_id\": 0,\n",
        "                \"end_frame_id\": 30\n",
        "            }\n",
        "        ],\n",
        "        \"output_folder\": \"/content/output\",\n",
        "        \"fps\": 25\n",
        "    },\n",
        "    \"pipeline\": {\n",
        "        \"seed\": 0,\n",
        "        \"pipeline_inputs\": {\n",
        "            \"prompt\": \"best quality, perfect anime illustration, light, a girl is dancing, smile, solo\",\n",
        "            \"negative_prompt\": \"verybadimagenegative_v1.3\",\n",
        "            \"cfg_scale\": 7.0,\n",
        "            \"clip_skip\": 2,\n",
        "            \"denoising_strength\": 1.0,\n",
        "            \"num_inference_steps\": 10,\n",
        "            \"animatediff_batch_size\": 16,\n",
        "            \"animatediff_stride\": 8,\n",
        "            \"unet_batch_size\": 1,\n",
        "            \"controlnet_batch_size\": 1,\n",
        "            \"cross_frame_attention\": False,\n",
        "            # The following parameters will be overwritten. You don't need to modify them.\n",
        "            \"input_frames\": [],\n",
        "            \"num_frames\": 30,\n",
        "            \"width\": 1536,\n",
        "            \"height\": 1536,\n",
        "            \"controlnet_frames\": []\n",
        "        }\n",
        "    }\n",
        "}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "from diffsynth import SDVideoPipelineRunner\n",
        "\n",
        "config = config_stage_2_template.copy()\n",
        "config[\"data\"][\"input_frames\"] = {\n",
        "    \"video_file\": \"/content/input_video.mp4\",\n",
        "    \"image_folder\": None,\n",
        "    \"height\": 1024,\n",
        "    \"width\": 1024,\n",
        "    \"start_frame_id\": 0,\n",
        "    \"end_frame_id\": 30\n",
        "}\n",
        "config[\"data\"][\"controlnet_frames\"] = [config[\"data\"][\"input_frames\"], config[\"data\"][\"input_frames\"]]\n",
        "config[\"data\"][\"output_folder\"] = \"/content/toon_video\"\n",
        "config[\"data\"][\"fps\"] = 25\n",
        "\n",
        "runner = SDVideoPipelineRunner()\n",
        "runner.run(config)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "import moviepy.editor\n",
        "moviepy.editor.ipython_display(\"/content/toon_video/video.mp4\")"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}


================================================
FILE: README.md
================================================
🐣 Please follow me for new updates https://twitter.com/camenduru <br />
🔥 Please join our discord server https://discord.gg/k5BwmmvJJU <br />
🥳 Please join my patreon community https://patreon.com/camenduru <br />

### 🍊 Jupyter Notebook

| Notebook | Info
| --- | --- |
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/Diffutoon-jupyter/blob/main/Diffutoon_jupyter.ipynb) | Diffutoon_jupyter
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/Diffutoon-jupyter/blob/main/Diffutoon_color_jupyter.ipynb) | Diffutoon_color_jupyter

### 🧬 Code
https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/Diffutoon

### 📄 Paper
https://arxiv.org/abs/2401.16224

### 🌐 Page
https://ecnu-cilab.github.io/DiffutoonProjectPage/

### 🖼 Output

Diffutoon_color_jupyter

https://github.com/camenduru/Diffutoon-jupyter/assets/54370274/e8741f4b-8925-488b-95b6-3812d219af06

### 🏢 Sponsor
https://runpod.io
Download .txt
gitextract_11r30370/

├── Diffutoon_color_jupyter.ipynb
├── Diffutoon_jupyter.ipynb
└── README.md
Condensed preview — 3 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (28K chars).
[
  {
    "path": "Diffutoon_color_jupyter.ipynb",
    "chars": 14617,
    "preview": "{\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"view-in-github\"\n      },\n      \"s"
  },
  {
    "path": "Diffutoon_jupyter.ipynb",
    "chars": 8911,
    "preview": "{\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"view-in-github\"\n      },\n      \"s"
  },
  {
    "path": "README.md",
    "chars": 1055,
    "preview": "🐣 Please follow me for new updates https://twitter.com/camenduru <br />\n🔥 Please join our discord server https://discord"
  }
]

About this extraction

This page contains the full source code of the camenduru/Diffutoon-jupyter GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 3 files (24.0 KB), approximately 7.2k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

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