stablefusion 0.0.6.dev0

StableFusion

StableFusion

A Web ui for Stable Diffusion Models.

< under development, request features using issues, prs not accepted atm >

If something doesnt work as expected, or if you need some features which are not available, then create request using github issues

Features available in the app:

• text to image
• image to image
• instruct pix2pix
• textual inversion
• ControlNet
• OpenPose Editor
• image info
• Upscale Your Image
• clip interrogator
• Convert ckpt file to diffusers
• Convert safetensors file to diffusers
• Add your own diffusers model
• more coming soon!

Installation

To install bleeding edge version of StableFusion, clone the repo and install it using pip.

git clone https://github.com/NeuralRealm/StableFusion
cd StableFusion
pip install -e .

Installation using pip:

pip install stablefusion

Usage

Web App

To run the web app, run the following command:

For Local Host

stablefusion app

or

For Public Shareable Link

stablefusion app --port 10000 --ngrok_key YourNgrokAuthtoken --share

All CLI Options for running the app:

❯ stablefusion app --help
usage: stablefusion <command> [<args>] app [-h] [--output OUTPUT] [--share] [--port PORT] [--host HOST]
                                        [--device DEVICE] [--ngrok_key NGROK_KEY]

✨ Run stablefusion app

optional arguments:
  -h, --help            show this help message and exit
  --output OUTPUT       Output path is optional, but if provided, all generations will automatically be saved to this
                        path.
  --share               Share the app
  --port PORT           Port to run the app on
  --host HOST           Host to run the app on
  --device DEVICE       Device to use, e.g. cpu, cuda, cuda:0, mps (for m1 mac) etc.
  --ngrok_key NGROK_KEY
                        Ngrok key to use for sharing the app. Only required if you want to share the app

Using private models from huggingface hub

If you want to use private models from huggingface hub, then you need to login using huggingface-cli login command.

Note: You can also save your generations directly to huggingface hub if your output path points to a huggingface hub dataset repo and you have access to push to that repository. Thus, you will end up saving a lot of disk space.

Acknowledgements

I would like to express my gratitude to the following individuals and organizations for sharing their code, which formed the basis of the implementation used in this project:

• Tencent ARC for their code for the GFPGAN package, which was used for image super-resolution.
• LexKoin for their code for the Real-ESRGAN-UpScale package, which was used for image enhancement.
• Hugging Face for their code for the diffusers package, which was used for optimizing the model's parameters.
• Abhishek Thakur for sharing his code for the diffuzers package, which was also used for optimizing the model's parameters.

I am grateful for their contributions to the open source community, which made this project possible.

Contributing

StableFusion is an open-source project, and we welcome contributions from the community. Whether you're a developer, designer, or user, there are many ways you can help make this project better. Here are a few ways you can get involved:

• Report issues: If you find a bug or have a feature request, please open an issue on our GitHub repository. We appreciate detailed bug reports and constructive feedback.
• Submit pull requests: If you're interested in contributing code, we welcome pull requests for bug fixes, new features, and documentation improvements.
• Spread the word: If you enjoy using StableFusion, please help us spread the word by sharing it with your friends, colleagues, and social media networks. We appreciate any support you can give us!

We believe that open-source software is the future of technology, and we're excited to have you join us in making StableFusion a success. Thank you for your support!