109 lines
2.5 KiB
Plaintext
109 lines
2.5 KiB
Plaintext
{
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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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},
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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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"gpuClass": "standard"
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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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"Git clone the repo and install the requirements. "
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],
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"metadata": {
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"id": "aaaaaaaaaa"
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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": null,
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"metadata": {
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"id": "bbbbbbbbbb"
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},
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"outputs": [],
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"source": [
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"!git clone https://github.com/comfyanonymous/ComfyUI\n",
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"%cd ComfyUI\n",
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"!pip install -r requirements.txt"
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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 the models/checkpoints/vae:"
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],
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"metadata": {
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"id": "cccccccccc"
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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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"!wget https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt -P ./models/checkpoints/\n",
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"!wget https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.safetensors -P ./models/vae/"
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],
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"metadata": {
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"id": "dddddddddd"
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},
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"execution_count": null,
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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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"Launch a http server to see the output pics:"
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],
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"metadata": {
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"id": "eeeeeeeeee"
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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 google.colab import output\n",
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"output.serve_kernel_port_as_window(8000)\n",
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"get_ipython().system_raw('cd output && python3 -m http.server 8000 &') "
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],
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"metadata": {
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"id": "ffffffffff"
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},
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"execution_count": null,
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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 ComfyUI:"
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],
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"metadata": {
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"id": "gggggggggg"
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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 google.colab import output\n",
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"print(\"click this once the GUI is loaded:\")\n",
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"output.serve_kernel_port_as_window(8188)\n",
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"!sed -i 's/127.0.0.1/0.0.0.0/g' main.py\n",
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"!python main.py"
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],
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"metadata": {
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"id": "hhhhhhhhhh"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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} |