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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Dependencies"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Install the dependencies\n",
"\n",
"force_reinstall= False\n",
"\n",
"# Set to true only if you want to install the dependencies again.\n",
"\n",
"#--------------------\n",
"with open('/dev/null', 'w') as devnull:import requests, os, time, importlib;open('/workspace/runpod_server.py', 'wb').write(requests.get('https://huggingface.co/datasets/TheLastBen/RNPD/raw/main/Scripts/mainrunpodA1111.py').content);os.chdir('/workspace');time.sleep(2);import mainrunpodA1111;importlib.reload(mainrunpodA1111);from mainrunpodA1111 import *;Deps(force_reinstall)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Install/Update AUTOMATIC1111 repo"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Huggingface_token_optional=\"\"\n",
"\n",
"# Restore your backed-up SD folder by entering your huggingface token, leave it empty to start fresh or continue with the existing sd folder (if any).\n",
"\n",
"#--------------------\n",
"repo(Huggingface_token_optional)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Model Download/Load"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Original_Model_Version = \"SDXL\"\n",
"\n",
"# Choices are \"SDXL\", \"v1.5\", \"v2-512\", \"v2-768\"\n",
"\n",
"#-------------- Or\n",
"\n",
"Path_to_MODEL = \"\"\n",
"\n",
"# Insert the full path of your trained model or to a folder containing multiple models.\n",
"\n",
"\n",
"MODEL_LINK = \"\"\n",
"\n",
"# A direct link to a Model or a shared gdrive link.\n",
"\n",
"\n",
"#--------------------\n",
"model=mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# LoRA Download"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Download/update ControlNet extension and its models.\n",
"\n",
"ControlNet_v1_Model = \"all\"\n",
"\n",
"# Choices are : none; all; 1: Canny; 2: Depth; 3: Lineart; 4: MLSD; 5: Normal; 6: OpenPose; 7: Scribble; 8: Seg; 9: ip2p; 10:Shuffle; 11: Inpaint; 12: Softedge; 13: Lineart_Anime; 14: Tile; 15: T2iadapter_Models\n",
"\n",
"ControlNet_XL_Model = \"all\"\n",
"\n",
"# Choices are : none; all; 1: Canny; 2: Depth; 3: Sketch; 4: OpenPose; 5: Recolor\n",
"\n",
"#--------------------\n",
"CNet(ControlNet_v1_Model, ControlNet_XL_Model)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Start Stable-Diffusion"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"User = \"\"\n",
"\n",
"Password= \"\"\n",
"\n",
"# Add credentials to your Gradio interface (optional).\n",
"\n",
"#-----------------\n",
"configf=sd(User, Password, model) if 'model' in locals() else sd(User, Password, \"\");import gradio;gradio.close_all()\n",
"!python /workspace/sd/stable-diffusion-webui/webui.py $configf"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Backup SD folder"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# This will backup your sd folder -without the models- to your huggingface account, so you can restore it whenever you start an instance.\n",
"\n",
"Huggingface_Write_token=\"\"\n",
"\n",
"# Must be a WRITE token, get yours here : https://huggingface.co/settings/tokens\n",
"\n",
"#--------------------\n",
"save(Huggingface_Write_token)"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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