baobuiquang

git clone https://github.com/OneLevelStudio/FORGE
cd FORGE
python3 -m venv venv
source venv/bin/activate
pip install -U pip
pip install torch==2.3.1 torchvision==0.18.1 --extra-index-url https://download.pytorch.org/whl/cu121
pip install -r requirements_versions.txt
wget -P models/Stable-diffusion https://huggingface.co/onelevelstudio/diffusion/resolve/main/573152/LVSTIFY_V5.0.safetensors
wget -P models/Lora https://huggingface.co/onelevelstudio/diffusion/resolve/main/375993/LORA_GHOST.safetensors

baobuiquang

List IMG                        docker images
List CON                        docker ps -a

Build IMG                       docker-compose build
Run CON detached                docker-compose up -d
Build IMG + Run CON detached    docker-compose up -d --build
Stop CON + Remove CON           docker-compose down

Remove everything unused        docker system prune -a --volumes -f
Remove everything               1. docker stop $(docker ps -a -q)

baobuiquang

Install Python3.10 on Ubuntu24.04

Install Python3.10

sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install -y python3.10

Set default

baobuiquang

zrok reserve public 1234 --unique-name baobuiquang
zrok share reserved baobuiquang public

baobuiquang

ssh -L 1234:localhost:1234 [email protected]
jupyter lab --no-browser --port=1234

baobuiquang

# Boilerplate: https://github.com/baobuiquang/fastapi

from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi import FastAPI
import uvicorn
import _config

# For images processing
from fastapi import File, UploadFile

baobuiquang

# Python
call py --version

# Virtual Environment
call py -m venv venv
call venv\Scripts\activate
call py -m pip install -U pip
call py run.py

# Install dependencies

baobuiquang

# Create folder
import os
os.makedirs("my/path", exist_ok=True)

# Read and write CSV
import pandas as pd
df = pd.read_csv('input_data.csv', encoding='utf-8')
df.to_csv('output_data.csv', encoding='utf-8', index=False)