86 lines
2.5 KiB
Plaintext
86 lines
2.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "65dbc5f6-5523-4c34-b3b6-c296e06a357c",
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"metadata": {
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"scrolled": true,
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Download and run the Anaconda3 installer\n",
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"!wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh\n",
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"!bash /notebooks/Anaconda3-2022.05-Linux-x86_64.sh -b -f -p /notebooks/anaconda3"
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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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"id": "7a33c19e-fd40-4f72-80df-697024e50964",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# 1. Run this cell to download the repo installer\n",
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"# 2. Do `/notebooks/linux-sd.sh` in the terminal to run the installer\n",
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"# 3. The installer will initalize and then prompt you to download the 1.4 AI Model from Huggingface.\n",
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"# At this point, run the next cell then continue the installer (press enter in the terminal you're running the script it).\n",
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"!wget https://raw.githubusercontent.com/JoshuaKimsey/Linux-StableDiffusion-Script/main/linux-sd.sh\n",
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"!chmod +x /notebooks/linux-sd.sh\n",
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"!echo \"/notebooks/linux-sd.sh\""
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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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"id": "11ede4f9-3b47-47df-b0e2-e04c9287e62e",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Download the 1.4 AI Model from Huggingface.\n",
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"import os\n",
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"if os.path.exists('Models'): # if this dir doesn't exist, you need to run the linux-sd.sh script and FOLLOW DIRECTIONS!!\n",
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" user_token = \"<enter huggingface user_token here>\"\n",
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" user_header = f\"'Authorization: Bearer {user_token}'\"\n",
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" !wget --header={user_header} https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt -O /notebooks/Models/sd-v1-4.ckpt"
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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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"id": "60c0784c-cf85-4ec9-a333-a2dbe6b428e0",
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"metadata": {},
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"outputs": [],
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"source": [
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"# The installer will do everything needed set up your environment and will start it when finished"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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