Radiata is a web UI for Stable Diffusion, built upon Hugging Face's diffusers library. It targets users seeking an accelerated and feature-rich interface for image generation, offering TensorRT optimization and ControlNet integration.

How It Works

Radiata leverages the diffusers library for its core Stable Diffusion and Stable Diffusion XL capabilities. Its key differentiator is the integration of TensorRT for significant inference acceleration, enabling faster image generation. It also supports ControlNet via a plugin system and LoRA/Lycoris model loading.

Quick Start & Requirements

• Install: Clone the repository and run ./launch-user.bat (Windows) or ./launch.sh (Linux).
• Prerequisites: Python 3.10 (though others may work), Git. TensorRT acceleration requires compatible NVIDIA hardware and drivers.
• Documentation: https://ddpn08.github.io/Radiata/

Highlighted Details

• Stable Diffusion and Stable Diffusion XL support.
• TensorRT acceleration for faster inference.
• ControlNet plugin support.
• LoRA & Lycoris model compatibility.

Maintenance & Community

No specific community links or contributor information are provided in the README.

Licensing & Compatibility

The repository does not specify a license. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

Only Python 3.10 is officially supported, and TensorRT acceleration is dependent on NVIDIA hardware. The lack of a specified license raises concerns for commercial adoption.