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"metadata": {
"colab": {
"provenance": [
{
"file_id": "https://gist.github.com/AdamOswald/6030606e4eb31a8aab1ab299bceeb3de#file-copy-of-fine-tuned-diffusion-gradio-ipynb",
"timestamp": 1675348702376,
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"kernelspec": {"name": "python3", "display_name": "Python 3"},
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"gpuClass": "standard",
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"cells": [
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"cell_type": "markdown",
"source": [
"**Finetuned Diffusion demo 🪄🖼️** \n",
"\n",
"With this app you can run multiple fine-tuned Stable Diffusion models, trained on different styles: [Arcane](https://huggingface.co/nitrosocke/Arcane-Diffusion), [Archer](https://huggingface.co/nitrosocke/archer-diffusion), [Elden Ring](https://huggingface.co/nitrosocke/elden-ring-diffusion), [Spider-Verse](https://huggingface.co/nitrosocke/spider-verse-diffusion), [Modern Disney](https://huggingface.co/nitrosocke/modern-disney-diffusion), [Classic Disney](https://huggingface.co/nitrosocke/classic-anim-diffusion), [Waifu](https://huggingface.co/hakurei/waifu-diffusion), [Pokémon](https://huggingface.co/lambdalabs/sd-pokemon-diffusers), [Pony Diffusion](https://huggingface.co/AstraliteHeart/pony-diffusion), [Robo Diffusion](https://huggingface.co/nousr/robo-diffusion), [Cyberpunk Anime](https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion), [Tron Legacy](https://huggingface.co/dallinmackay/Tron-Legacy-diffusion) + any other custom Diffusers 🧨 SD model hosted on HuggingFace 🤗.",
],
"metadata": {"id": "oBB6SkL2REFn"},
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{
"cell_type": "markdown",
"source": ["### 1. Install dependencies"],
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{
"cell_type": "code",
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"metadata": {"id": "8WYSV-73rslm"},
"outputs": [],
"source": [
"!git clone https://huggingface.co/spaces/AdamOswald1/finetuned_diffusion\n",
"%cd finetuned_diffusion/\n",
"!pip install -r requirements.txt\n",
"!pip install gradio==3.17.1\n",
"\n",
"!pip uninstall -y xformers\n",
"!pip install -q https://github.com/camenduru/stable-diffusion-webui-colab/releases/download/0.0.15/xformers-0.0.15.dev0+1515f77.d20221130-cp38-cp38-linux_x86_64.whl",
],
},
{
"cell_type": "markdown",
"source": [
"### 2. Run\n",
"\n",
"Expand this cell and run it. After it finishes loading, **open the generated gradio public link** (e.g. https://xxxx.gradio.app) in the output.\n",
"\n",
"When running in a colab, models need to be downloaded the first time you use them, so give it some time.",
],
"metadata": {"id": "g51-cBLlTsO4"},
},
{
"cell_type": "code",
"source": ["!python app.py"],
"metadata": {"id": "dMhWUqKdNzn3"},
"execution_count": null,
"outputs": [],
},
],
}