{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!rm -rf /content/sample_data\n",
        "!wget https://huggingface.co/waveydaveygravy/Moore-AnimateAnyone/resolve/main/Moore-AnimateAnyone.zip\n",
        "!unzip Moore-AnimateAnyone.zip\n",
        "%cd /content/Moore-AnimateAnyone\n",
        "!pip install -r requirements.txt\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "SGWqEghrOl9j"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!apt -y install -qq aria2\n",
        "\n",
        "BaseModelUrl = \"https://huggingface.co/runwayml/stable-diffusion-v1-5\"\n",
        "BaseModelDir = \"/content/Moore-AnimateAnyone/pretrainedweights/stable-diffusion-v1-5\"\n",
        "\n",
        "# Create the target directory and necessary subdirectories\n",
        "!mkdir -p {BaseModelDir} {BaseModelDir}/vae {BaseModelDir}/unet {BaseModelDir}/tokenizer {BaseModelDir}/text_encoder {BaseModelDir}/scheduler {BaseModelDir}/safety_checker {BaseModelDir}/feature_extractor\n",
        "\n",
        "# Clone all model components using aria2c, specifying the correct output directories\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl} -d {BaseModelDir}\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/model_index.json -d {BaseModelDir} -o model_index.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/vae/diffusion_pytorch_model.bin -d {BaseModelDir}/vae -o diffusion_pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/vae/config.json -d {BaseModelDir}/vae -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/unet/diffusion_pytorch_model.bin -d {BaseModelDir}/unet -o diffusion_pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/unet/config.json -d {BaseModelDir}/unet -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/vocab.json -d {BaseModelDir}/tokenizer -o vocab.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/tokenizer_config.json -d {BaseModelDir}/tokenizer -o tokenizer_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/special_tokens_map.json -d {BaseModelDir}/tokenizer -o special_tokens_map.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/merges.txt -d {BaseModelDir}/tokenizer -o merges.txt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/text_encoder/pytorch_model.bin -d {BaseModelDir}/text_encoder -o pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/text_encoder/config.json -d {BaseModelDir}/text_encoder -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/scheduler/scheduler_config.json -d {BaseModelDir}/scheduler -o scheduler_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/safety_checker/pytorch_model.bin -d {BaseModelDir}/safety\n"
      ],
      "metadata": {
        "id": "f86SbtfCUgF3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/Moore-AnimateAnyone/pretrainedweights\n",
        "!wget https://huggingface.co/patrolli/AnimateAnyone/resolve/main/denoising_unet.pth\n",
        "!wget https://huggingface.co/patrolli/AnimateAnyone/resolve/main/motion_module.pth\n",
        "!wget https://huggingface.co/patrolli/AnimateAnyone/resolve/main/pose_guider.pth\n",
        "!wget https://huggingface.co/patrolli/AnimateAnyone/resolve/main/reference_unet.pth\n",
        "\n",
        "%cd /content/Moore-AnimateAnyone/pretrainedweights/image_encoder\n",
        "!wget https://huggingface.co/lambdalabs/sd-image-variations-diffusers/resolve/main/image_encoder/pytorch_model.bin\n",
        "!wget https://huggingface.co/lambdalabs/sd-image-variations-diffusers/resolve/main/image_encoder/config.json\n",
        "\n",
        "%cd /content/Moore-AnimateAnyone/pretrainedweights/DWpose\n",
        "!wget  https://huggingface.co/yzd-v/DWPose/resolve/main/yolox_l.onnx #yolox\n",
        "!wget https://huggingface.co/yzd-v/DWPose/resolve/main/dw-ll_ucoco_384.onnx #dwpose"
      ],
      "metadata": {
        "id": "-ESNzmpIWHyf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title to extract pose (not tested)\n",
        "#%cd /content/Moore-AnimateAnyone\n",
        "#!python /content/Moore-AnimateAnyone/vid2pose.py --video_path  /content/Moore-AnimateAnyone/animation4.mp4"
      ],
      "metadata": {
        "id": "BobRXjG7tG4b"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title YOU NEED TO HAVE A POSE VIDEO FIRST, CAN USE THE EXAMPLES. GRADIO WILL CRASH DURING GENERATION BUT SAVE TO OUTPUTS--\n",
        "%cd /content/Moore-AnimateAnyone\n",
        "!python /content/Moore-AnimateAnyone/app.py"
      ],
      "metadata": {
        "id": "DJxzTyuKbIX1"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}