A collection of:
- Backend AI Server - Python AI backend server
- Windows App - 2D Image generator and editor
- Command Line Interface - Copilot Code generation Below you will find the current modules I'm working on for this AI package.
An image editing app with access to AI generation.
- Generate completely new art based on the latest AI models
- Draw images and quickly turn them professional with AI generation tools
- Regenerate, stylize, remove or add new objects to your images
- Automatically generate syntax passing files
- usage
./copilot -pycode generate a file to do something
Supports python only for now.
- TODO
requires mypy and some other setup.
use a python virtual environment or conda to deal with systemwide pips from windows interefereing from running your ai applications python -m will use a particular pythons pip, so you can download linux one and isolate it to linux pythons pip
pre cuda installation https://docs.nvidia.com/cuda/archive/11.8.0/cuda-installation-guide-linux/index.html#pre-installation-actions
cuda installation https://docs.nvidia.com/cuda/archive/11.8.0/cuda-installation-guide-linux/index.html#wsl-installation https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu&target_version=2.0&target_type=deb_local
post cuda installation https://docs.nvidia.com/cuda/archive/11.8.0/cuda-installation-guide-linux/index.html#post-installation-actions
Dont forget to create a config.json in the target/debug directory where the build is
{
"api_key": "token",
"stable_diffusion_host_address": "localhost:6999",
"python_code_create_iterations": 5,
"python_use_conda_over_pip": true,
"stable_diffusion_config": {
"height": 512,
"width": 712,
"num_inference_steps": 800,
"guidance_scale": 7.5,
"img_count": 25,
"use_columns": true
}
}