flux dev fp8

Introduction

The FLUX-DEV-FP8 model is an FP8 quantized version of the FLUX.1 [dev] model, designed to enhance performance and efficiency in specific applications.

Architecture

The FLUX-DEV-FP8 is based on the FLUX.1 [dev] model architecture but incorporates FP8 quantization to reduce memory usage and potentially increase computation speed while maintaining accuracy.

Training

Information about the specific training process for FLUX-DEV-FP8 is not provided. However, FP8 quantization typically involves training or fine-tuning a model to optimize it for lower precision operations.

Guide: Running Locally

1. Clone the Repository: Begin by cloning the FLUX-DEV-FP8 repository from Hugging Face.
2. Set Up Environment: Install necessary dependencies and set up a Python environment.
3. Download the Model: Access the model files through the Hugging Face Model Hub.
4. Run Model: Execute the model using your preferred framework, ensuring FP8 support in your setup.

For optimal performance, consider using cloud GPUs such as NVIDIA A100 or V100, which support FP8 operations.

License

The FLUX-DEV-FP8 model is released under the FLUX.1 [dev] Non-Commercial License. More details can be found in the license document.