comfyui_colab.ipynb 8.23 KB
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{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
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        "Git clone the repo and install the requirements. (ignore the pip errors about protobuf)"
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      ],
      "metadata": {
        "id": "aaaaaaaaaa"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bbbbbbbbbb"
      },
      "outputs": [],
      "source": [
        "!git clone https://github.com/comfyanonymous/ComfyUI\n",
        "%cd ComfyUI\n",
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        "!pip install xformers -r requirements.txt\n",
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        "!sed -i 's/v1-inference.yaml/v1-inference_fp16.yaml/g' webshit/index.html"
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
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        "Download some models/checkpoints/vae or custom comfyui nodes (uncomment the commands for the ones you want)"
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      ],
      "metadata": {
        "id": "cccccccccc"
      }
    },
    {
      "cell_type": "code",
      "source": [
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        "# Checkpoints\n",
        "\n",
        "# SD1.5\n",
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        "!wget -c https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt -P ./models/checkpoints/\n",
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        "\n",
        "# SD2\n",
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        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/v2-1_512-ema-pruned.safetensors -P ./models/checkpoints/\n",
        "#!wget -c https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.safetensors -P ./models/checkpoints/\n",
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        "\n",
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        "# Some SD1.5 anime style\n",
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        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix2/AbyssOrangeMix2_hard.safetensors -P ./models/checkpoints/\n",
        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1.safetensors -P ./models/checkpoints/\n",
        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A3.safetensors -P ./models/checkpoints/\n",
        "#!wget -c https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/anything-v3-fp16-pruned.safetensors -P ./models/checkpoints/\n",
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        "\n",
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        "# Waifu Diffusion 1.5 (anime style SD2.x 768-v)\n",
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        "#!wget -c https://huggingface.co/waifu-diffusion/wd-1-5-beta2/resolve/main/checkpoints/wd-1-5-beta2-fp16.safetensors -P ./models/checkpoints/\n",
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        "\n",
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        "\n",
        "# VAE\n",
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        "!wget -c https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors -P ./models/vae/\n",
        "#!wget -c https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/VAEs/orangemix.vae.pt -P ./models/vae/\n",
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        "\n",
        "\n",
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        "# Loras\n",
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        "#!wget -c --content-disposition https://civitai.com/api/download/models/10350 -P ./models/loras/ #theovercomer8sContrastFix SD2.x 768-v\n",
        "#!wget -c --content-disposition https://civitai.com/api/download/models/10638 -P ./models/loras/ #theovercomer8sContrastFix SD1.x\n",
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        "\n",
        "\n",
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        "# T2I-Adapter\n",
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        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth -P ./models/t2i_adapter/\n",
        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_seg_sd14v1.pth -P ./models/t2i_adapter/\n",
        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_sketch_sd14v1.pth -P ./models/t2i_adapter/\n",
        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_keypose_sd14v1.pth -P ./models/t2i_adapter/\n",
        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_openpose_sd14v1.pth -P ./models/t2i_adapter/\n",
        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth -P ./models/t2i_adapter/\n",
        "#!wget -c https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth -P ./models/t2i_adapter/\n",
        "\n",
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        "\n",
        "\n",
        "# ControlNet\n",
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        "#!wget -c https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_depth-fp16.safetensors -P ./models/controlnet/\n",
        "#!wget -c https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_scribble-fp16.safetensors -P ./models/controlnet/\n",
        "#!wget -c https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_openpose-fp16.safetensors -P ./models/controlnet/\n",
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        "\n",
        "\n",
        "# Controlnet Preprocessor nodes by Fannovel16\n",
        "#!cd custom_nodes && git clone https://github.com/Fannovel16/comfy_controlnet_preprocessors; cd comfy_controlnet_preprocessors && python install.py\n",
        "\n"
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      ],
      "metadata": {
        "id": "dddddddddd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
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        "### Run ComfyUI with localtunnel (Recommended Way)\n",
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        "\n",
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        "use the **fp16** model configs for more speed\n",
        "\n"
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      ],
      "metadata": {
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        "id": "kkkkkkkkkkkkkk"
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      }
    },
    {
      "cell_type": "code",
      "source": [
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        "!npm install -g localtunnel\n",
        "\n",
        "import subprocess\n",
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        "import threading\n",
        "import time\n",
        "import socket\n",
        "def iframe_thread(port):\n",
        "  while True:\n",
        "      time.sleep(0.5)\n",
        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
        "      result = sock.connect_ex(('127.0.0.1', port))\n",
        "      if result == 0:\n",
        "        break\n",
        "      sock.close()\n",
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        "  print(\"\\nComfyUI finished loading, trying to launch localtunnel (if it gets stuck here localtunnel is having issues)\")\n",
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        "  p = subprocess.Popen([\"lt\", \"--port\", \"{}\".format(port)], stdout=subprocess.PIPE)\n",
        "  for line in p.stdout:\n",
        "    print(line.decode(), end='')\n",
        "\n",
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        "\n",
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        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
        "\n",
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        "!python main.py --dont-print-server"
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      ],
      "metadata": {
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      },
      "execution_count": null,
      "outputs": []
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    },
    {
      "cell_type": "markdown",
      "source": [
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        "### Run ComfyUI with colab iframe (use only in case the previous way with localtunnel doesn't work)\n",
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        "use the **fp16** model configs for more speed\n",
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        "\n",
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        "You should see the ui appear in an iframe. If you get a 403 error, it's your firefox settings or an extension that's messing things up.\n",
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        "\n",
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        "If you want to open it in another window use the link.\n",
        "\n",
        "Note that some UI features like live image previews won't work because the colab iframe blocks websockets."
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      ],
      "metadata": {
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      }
    },
    {
      "cell_type": "code",
      "source": [
        "import threading\n",
        "import time\n",
        "import socket\n",
        "def iframe_thread(port):\n",
        "  while True:\n",
        "      time.sleep(0.5)\n",
        "      sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
        "      result = sock.connect_ex(('127.0.0.1', port))\n",
        "      if result == 0:\n",
        "        break\n",
        "      sock.close()\n",
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        "  from google.colab import output\n",
        "  output.serve_kernel_port_as_iframe(port, height=1024)\n",
        "  print(\"to open it in a window you can open this link here:\")\n",
        "  output.serve_kernel_port_as_window(port)\n",
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        "\n",
        "threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()\n",
        "\n",
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        "!python main.py --dont-print-server"
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      ],
      "metadata": {
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        "id": "hhhhhhhhhh"
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      },
      "execution_count": null,
      "outputs": []
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    }
  ]
}