flux.1 lumiere alpha

Introduction

Lumiere Alpha is an advanced text-to-image model developed to enhance realism while maintaining prompt coherency, building on the original Flux.1-Dev model.

Architecture

The model uses the diffusers library and operates within a pipeline designed for text-to-image generation. It is an iteration on the base model, black-forest-labs/FLUX.1-dev.

Training

To achieve optimal results, Lumiere Alpha recommends using a guidance scale of 3.0 and setting steps between 28 and 35, utilizing the Euler Beta method. A ComfyUI workflow is available to streamline the use of Lumiere Alpha.

Guide: Running Locally

1. Setup Environment: Ensure you have a Python environment with the necessary dependencies, including the diffusers library.
2. Clone Repository: Download the Lumiere Alpha model files from the Hugging Face repository.
3. Load Model: Use the provided ComfyUI workflow (comfy/lumiere_alpha_workflow.json) for seamless integration.
4. Configure Settings: Adjust settings to recommended parameters for best results.
5. Run Model: Execute the model to generate text-to-image outputs.

For enhanced performance, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure.

License

Lumiere Alpha is released under the FLUX.1 [dev] Non-Commercial License, as provided by Black Forest Labs, Inc. More details can be found in the license document.