mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-18 22:08:13 +00:00
add a jupyter example
This commit is contained in:
Artiprocher
282
examples/Diffutoon_toon_shading.ipynb
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282
examples/Diffutoon_toon_shading.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"gpuType": "T4",
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"collapsed_sections": [
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"tII_XRY-PJeo"
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]
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU"
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# DiffSynth Studio\n",
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"\n",
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"Welcome to DiffSynth Studio! This is an example of Diffutoon."
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],
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"metadata": {
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"id": "8ObdI5jCB8xy"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"## Install"
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],
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"metadata": {
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"id": "XSkKX7O2BwuM"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "msCpt0pLnT8W",
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"outputId": "48e084bc-c5ad-4d99-e5d9-8be686a57675"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Cloning into 'DiffSynth-Studio'...\n",
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"remote: Enumerating objects: 259, done.\u001b[K\n",
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"remote: Counting objects: 100% (259/259), done.\u001b[K\n",
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"remote: Compressing objects: 100% (168/168), done.\u001b[K\n",
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"remote: Total 259 (delta 128), reused 203 (delta 81), pack-reused 0\u001b[K\n",
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"Receiving objects: 100% (259/259), 967.07 KiB | 3.58 MiB/s, done.\n",
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"Resolving deltas: 100% (128/128), done.\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m202.4/202.4 kB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.4/8.4 MB\u001b[0m \u001b[31m96.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m59.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.6/44.6 kB\u001b[0m \u001b[31m6.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.2/2.2 MB\u001b[0m \u001b[31m15.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m196.4/196.4 kB\u001b[0m \u001b[31m28.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.8/4.8 MB\u001b[0m \u001b[31m89.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m82.1/82.1 kB\u001b[0m \u001b[31m12.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.7/62.7 kB\u001b[0m \u001b[31m9.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Building wheel for controlnet-aux (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"/content/DiffSynth-Studio\n"
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]
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}
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],
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"source": [
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"!git clone https://github.com/Artiprocher/DiffSynth-Studio.git\n",
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"!pip install -q transformers controlnet-aux==0.0.7 streamlit streamlit-drawable-canvas imageio imageio[ffmpeg] safetensors einops\n",
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"%cd /content/DiffSynth-Studio"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"## Download Models"
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],
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"metadata": {
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"id": "5eCu_rlKB3kK"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"import requests\n",
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"\n",
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"\n",
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"def download_model(url, file_path):\n",
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" model_file = requests.get(url, allow_redirects=True)\n",
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" with open(file_path, \"wb\") as f:\n",
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" f.write(model_file.content)\n",
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"\n",
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"download_model(\"https://civitai.com/api/download/models/229575\", \"models/stable_diffusion/aingdiffusion_v12.safetensors\")\n",
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"download_model(\"https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt\", \"models/AnimateDiff/mm_sd_v15_v2.ckpt\")\n",
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"download_model(\"https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth\", \"models/ControlNet/control_v11p_sd15_lineart.pth\")\n",
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"download_model(\"https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth\", \"models/ControlNet/control_v11f1e_sd15_tile.pth\")\n",
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"download_model(\"https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model.pth\", \"models/Annotators/sk_model.pth\")\n",
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"download_model(\"https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model2.pth\", \"models/Annotators/sk_model2.pth\")\n",
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"download_model(\"https://civitai.com/api/download/models/25820?type=Model&format=PickleTensor&size=full&fp=fp16\", \"models/textual_inversion/verybadimagenegative_v1.3.pt\")"
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],
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"metadata": {
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"id": "9znMkpVj3qZ1"
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},
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"execution_count": 2,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"## Run Diffutoon"
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],
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"metadata": {
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"id": "iwOq2lWtKVYS"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Config Template"
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],
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"metadata": {
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"id": "tII_XRY-PJeo"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"config_template = {\n",
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" \"models\": {\n",
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" \"model_list\": [\n",
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" \"models/stable_diffusion/aingdiffusion_v12.safetensors\",\n",
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" \"models/AnimateDiff/mm_sd_v15_v2.ckpt\",\n",
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" \"models/ControlNet/control_v11f1e_sd15_tile.pth\",\n",
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" \"models/ControlNet/control_v11p_sd15_lineart.pth\"\n",
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" ],\n",
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" \"textual_inversion_folder\": \"models/textual_inversion\",\n",
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" \"device\": \"cuda\",\n",
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" \"lora_alphas\": [],\n",
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" \"controlnet_units\": [\n",
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" {\n",
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" \"processor_id\": \"tile\",\n",
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" \"model_path\": \"models/ControlNet/control_v11f1e_sd15_tile.pth\",\n",
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" \"scale\": 0.5\n",
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" },\n",
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" {\n",
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" \"processor_id\": \"lineart\",\n",
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" \"model_path\": \"models/ControlNet/control_v11p_sd15_lineart.pth\",\n",
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" \"scale\": 0.5\n",
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" }\n",
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" ]\n",
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" },\n",
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" \"data\": {\n",
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" \"input_frames\": {\n",
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" \"video_file\": \"/content/video_guide.mp4\",\n",
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" \"image_folder\": None,\n",
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" \"height\": 1024,\n",
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" \"width\": 1024,\n",
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" \"start_frame_id\": 0,\n",
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" \"end_frame_id\": 30\n",
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" },\n",
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" \"controlnet_frames\": [\n",
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" {\n",
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" \"video_file\": \"/content/video_guide.mp4\",\n",
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" \"image_folder\": None,\n",
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" \"height\": 1024,\n",
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" \"width\": 1024,\n",
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" \"start_frame_id\": 0,\n",
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" \"end_frame_id\": 30\n",
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" },\n",
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" {\n",
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" \"video_file\": \"/content/video_guide.mp4\",\n",
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" \"image_folder\": None,\n",
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" \"height\": 1024,\n",
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" \"width\": 1024,\n",
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" \"start_frame_id\": 0,\n",
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" \"end_frame_id\": 30\n",
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" }\n",
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" ],\n",
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" \"output_folder\": \"/content/output\",\n",
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" \"fps\": 30\n",
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" },\n",
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" \"pipeline\": {\n",
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" \"seed\": 0,\n",
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" \"pipeline_inputs\": {\n",
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" \"prompt\": \"best quality, perfect anime illustration, light, a girl is dancing, smile, solo\",\n",
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" \"negative_prompt\": \"verybadimagenegative_v1.3\",\n",
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" \"cfg_scale\": 7.0,\n",
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" \"clip_skip\": 2,\n",
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" \"denoising_strength\": 1.0,\n",
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" \"num_inference_steps\": 10,\n",
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" \"animatediff_batch_size\": 16,\n",
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" \"animatediff_stride\": 8,\n",
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" \"unet_batch_size\": 1,\n",
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" \"controlnet_batch_size\": 1,\n",
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" \"cross_frame_attention\": False,\n",
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" # The following parameters will be overwritten. You don't need to modify them.\n",
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" \"input_frames\": [],\n",
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" \"num_frames\": 30,\n",
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" \"width\": 1536,\n",
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" \"height\": 1536,\n",
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" \"controlnet_frames\": []\n",
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" }\n",
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" }\n",
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"}"
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],
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"metadata": {
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"id": "vsd2alA3PrGe"
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},
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"execution_count": 3,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"### Run\n",
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"\n",
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"Before you run the following code, please upload your input video.\n",
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"\n",
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"We highly recommend you to use a higher resolution for better visual quality. The default resolution of Diffutoon is 1536x1536, which requires 22GB VRAM. If you don't have enough VRAM, 1024x1024 is also acceptable."
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],
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"metadata": {
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"id": "113QAmNHP6T_"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"from diffsynth import SDVideoPipelineRunner\n",
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"\n",
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"\n",
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"config = config_template.copy()\n",
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"config[\"data\"][\"input_frames\"] = {\n",
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" \"video_file\": \"/content/input_video.mp4\",\n",
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" \"image_folder\": None,\n",
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" \"height\": 1024,\n",
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" \"width\": 1024,\n",
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" \"start_frame_id\": 0,\n",
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" \"end_frame_id\": 16\n",
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"}\n",
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"config[\"data\"][\"controlnet_frames\"] = [config[\"data\"][\"input_frames\"], config[\"data\"][\"input_frames\"]]\n",
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"config[\"data\"][\"output_folder\"] = \"/content/output\"\n",
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"config[\"data\"][\"fps\"] = 30\n",
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"\n",
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"runner = SDVideoPipelineRunner()\n",
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"runner.run(config)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "761nbrgeKMvj",
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"outputId": "aea6f1fe-8485-4eb1-ac23-9c1023b3b9cd"
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},
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"execution_count": 6,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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"text": [
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"100%|██████████| 16/16 [00:00<00:00, 82.74it/s]\n",
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"100%|██████████| 16/16 [00:04<00:00, 3.71it/s]\n",
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"100%|██████████| 10/10 [05:17<00:00, 31.78s/it]\n",
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"Saving images: 100%|██████████| 16/16 [00:06<00:00, 2.38it/s]\n",
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"Saving video: 100%|██████████| 16/16 [00:00<00:00, 31.93it/s]\n"
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]
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}
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]
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}
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]
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}
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Reference in New Issue
Block a user