https://github.com/teleprint-me/diffuse
Simple experimental CLI scripts for stable diffusion models
https://github.com/teleprint-me/diffuse
diffusers stable-diffusion
Last synced: 3 months ago
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Simple experimental CLI scripts for stable diffusion models
- Host: GitHub
- URL: https://github.com/teleprint-me/diffuse
- Owner: teleprint-me
- License: agpl-3.0
- Created: 2024-07-23T21:23:19.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-07-26T01:16:59.000Z (10 months ago)
- Last Synced: 2025-01-03T10:45:51.165Z (4 months ago)
- Topics: diffusers, stable-diffusion
- Language: Python
- Homepage:
- Size: 188 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# diffuse
Simple experimental CLI scripts for stable diffusion models.
## About
Welcome to `diffuse`, an experimental repository housing utility scripts I've developed in my spare time as part of my journey exploring Stable Diffusion Models (SDMs). This project serves as a central hub for these CLI-focused scripts, allowing easy execution and learning about the diffusers API.
## Supported Models
Currently supported models include `stable-diffusion-xl-1.0`, `stable-diffusion-xl-turbo`, and `stable-diffusion-3-medium`.
## Installation
Note that PyTorch will default to installing the CPU-only version for users lacking CUDA support.
To get started with `diffuse`:
1. Create and activate a virtual environment:
```sh
virtualenv .venv
source .venv/bin/activate
```
2. Enable execution bit for setup scripts:
```sh
chmod +x setup.sh
```
3. Run the provided `setup.sh` script to install dependencies and set up your environment:
```sh
./setup.sh
```
## Contributing
Contributions are welcome! If you have ideas for improvements, bug fixes, or new features in mind for this project, please open a pull request, and we can discuss the best approach together. Happy coding! 🤖🚀