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{
"cells": [
{
"cell_type": "markdown",
"id": "6441563f-5e6b-4987-abe3-2a1b8c25a789",
"metadata": {},
"source": [
"## A1111 Paperspace Notebook From https://github.com/TheLastBen/fast-stable-diffusion, if you encounter any issues, feel free to discuss them."
]
},
{
"cell_type": "markdown",
"id": "840f2f6a-41d1-4938-a846-d51f76682b76",
"metadata": {},
"source": [
"# Dependencies"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "62e22de7-f054-45a7-b7e3-b63b9a0188a1",
"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",
"#--------------------\n",
"with open('/dev/null', 'w') as devnull:import requests, os, time, importlib;open('/notebooks/mainpaperspaceA1111.py', 'wb').write(requests.get('https://huggingface.co/datasets/TheLastBen/PPS/raw/main/Scripts/mainpaperspaceA1111.py').content);os.chdir('/notebooks');time.sleep(3);import mainpaperspaceA1111;importlib.reload(mainpaperspaceA1111);from mainpaperspaceA1111 import *;Deps(force_reinstall)"
]
},
{
"cell_type": "markdown",
"id": "e21f3583-2d0f-4218-9da2-303f9e202820",
"metadata": {
"tags": []
},
"source": [
"# Install/Update AUTOMATIC1111 repo"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ed6cebed-8a4f-4a35-b5c3-36126be008b9",
"metadata": {},
"outputs": [],
"source": [
"# Don't skip this cell to make sure the repo is up to date and functioning correctly\n",
"\n",
"#--------------------\n",
"repo()"
]
},
{
"cell_type": "markdown",
"id": "ab0521c7-8c68-4ea2-915a-bc3f4b67f6e7",
"metadata": {},
"source": [
"# Model Download/Load"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a6f367e0-df08-41fd-91b5-e2afbcbd42e4",
"metadata": {},
"outputs": [],
"source": [
"Original_Model_Version = \"v1.5\"\n",
"\n",
"# Choices are \"v1.5\", \"v2-512\", \"v2-768\"\n",
"\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",
"safetensors= False\n",
"\n",
"# Set to True if the model from the link is in safetensors format.\n",
"\n",
"Temporary_Storage = True\n",
"\n",
"# Download the model to a temporary storage, bigger capacity but will be removed at session shutdown.\n",
"\n",
"\n",
"#--------------------\n",
"model=mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK, safetensors, Temporary_Storage)"
]
},
{
"cell_type": "markdown",
"id": "2f9228f8-3d2b-4964-a848-f75ae1618d9f",
"metadata": {},
"source": [
"# ControlNet"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "90c5d7c8-d0dc-43dc-9232-1351e8f80b5e",
"metadata": {},
"outputs": [],
"source": [
"# Download/update ControlNet extension and its models.\n",
"\n",
"ControlNet_Model = \"all\"\n",
"\n",
"# Choices are : none; all; 1: Canny; 2: Depth; 3: HED; 4: MLSD; 5: Normal; 6: OpenPose; 7: Scribble; 8: Seg; 9: T2iadapter_Models\n",
"\n",
"ControlNet_v2_Model = \"none\"\n",
"\n",
"# Choices are : none; all; 1: Canny; 2: Depth; 3: HED; 4: OpenPose; 5: Scribble\n",
"\n",
"#--------------------\n",
"CN(ControlNet_Model, ControlNet_v2_Model)"
]
},
{
"cell_type": "markdown",
"id": "e0baf0c4-a410-432f-891b-975c7250c77d",
"metadata": {},
"source": [
"# Start Stable-Diffusion"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0121ea1d-1aa0-4961-b916-c5dbb900e05f",
"metadata": {},
"outputs": [],
"source": [
"User = \"\"\n",
"\n",
"Password= \"\"\n",
"\n",
"# Add credentials to your Gradio interface (optional).\n",
"\n",
"Use_localtunnel = False\n",
"\n",
"# If you have trouble using Gradio server, use this one.\n",
"\n",
"\n",
"#-----------------\n",
"configf=sd(User, Password, Use_localtunnel, model)\n",
"!python /notebooks/sd/stable-diffusion-webui/webui.py $configf"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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