Image AI Utils Server

Installation

Requirements

NVIDIA GPU with at least 10gb of VRAM is highly recomended
You need to create your Hugging Face token here and accept terms of service here

Windows

Download and extract image_ai_utils_windows.7z from the releases page
Replace <your-token> in .env file with your Hugging Face token(see .env section for details)
Run main.exe
During the first run it will download stable diffusion models to directory, specified in .env file

Linux

Python version 3.9 should be installed. Newer versions are not supported yet and older versions may have some unexpected problems.

python3.9 -m venv .venv
source .venv/bin/activate
pip install poetry
poetry install
mkdir models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth -o models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -o models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth -o models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRNet_x4plus.pth -o models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth -o models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth -o models
curl -L https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-animevideov3.pth -o models
cp .env.example .env

Replace <your-token> in .env file with your Hugging Face token(see .env section for details)

Run with python main.py

During the first run it will download stable diffusion models to directory, specified in .env file

Docker

TODO

`.env` File Fields Description

IMAGE_AI_UTILS_USERNAME - username which the plugin uses to access the server (you don't need to change this field for local installation)
IMAGE_AI_UTILS_PASSWORD - password which the plugin uses to access the server (you don't need to change this field for local installation)
HOST - URL or IP addres of the server; one server can serve multiple URLs or IPs, 0.0.0.0 will (you don't need to change this field for local installation)
PORT - server port (you don't need to change this field for local installation, unless it conflicts with some other service)
PYTORCH_CUDA_ALLOC_CONF - see https://pytorch.org/docs/stable/notes/cuda.html#memory-management
DIFFUSERS_CACHE_PATH - the path where downloaded stable diffusion models will be stored
HUGGING_FACE_HUB_TOKEN - token required to download stable diffusion models
USE_OPTIMIZED_MODE - when enabled, stable diffusion will consume less VRAM at the expense of 10% speed

Common Problems

main.exe closes shortly after startup

You can look into messages.log file, it will contain all the errors encountered during the run of the program. If you still can't solve your problem, please report an issue and attach this file in the comment

`RuntimeError: CUDA out of memory`

Try enabling USE_OPTIMIZED_MODE in .env file.

If that didn't help and you have less than 4GB of VRAM, you are probably out of luck and need better hardware.

Another option would be to rent a VPS with GPU and running your server there.

`OSError: Windows requires Developer Mode to be activated`

During the first run diffusers library needs to create some symlinks which requires developer mode or admin rights. If you don't want to activate developer mode, right mouse click on main.exe and choose "Run as administrator", you only need to do it once, next time it will work without extra privileges.

qweryty/image-ai-utils-server