stable diffusion 3.5 fp8

Introduction

Stable Diffusion 3.5 FP8 is a compact version of the SD3.5 Large model, integrating text encoders and CLIP. It is designed to provide efficient performance while maintaining the capabilities of its larger counterpart.

Architecture

The model utilizes a refined architecture based on the Stable Diffusion framework, incorporating advanced text encoding through built-in CLIP components. This setup ensures high-quality image generation with improved processing efficiency.

Training

Details about the training process are not explicitly provided, but it is implied that this model benefits from the foundational training of the SD3.5 Large model, with optimizations to enable FP8 precision.

Guide: Running Locally

1. Clone the Repository: Access the model's repository on Hugging Face and clone it to your local machine.
2. Environment Setup: Install required dependencies and ensure that your environment is configured for running the model.
3. Model Execution: Use the ComfyUI interface or a similar platform to run the model locally, leveraging the built-in text encoders for input handling.

For optimal performance, consider using cloud GPUs such as those provided by AWS, Google Cloud, or Azure, which can handle the computational demands of model processing.

License

The model is distributed under the stabilityai-ai-community license. For detailed licensing information, refer to the license document.