Flux White Background Lo R A

Introduction

Flux-White-Background-LoRA is a text-to-image model designed to generate images with specified prompts, placing the subject in the middle of a white background. It leverages the LoRA technique and is built using the diffusers library.

Architecture

The model is based on black-forest-labs/FLUX.1-dev and utilizes the diffusers library. It incorporates LoRA (Low-Rank Adaptation) to enhance the text-to-image generation capabilities, focusing on placing objects centrally against a white background.

Training

The model was trained using the FAL Fast LoRA Trainer, which is optimized for efficient training of LoRA models. This training process allows for quick adaptation to the specific task of generating images with a white background.

Guide: Running Locally

1. Prerequisites:

   • Install the Hugging Face transformers and diffusers libraries.
   • Ensure you have Python installed.

2. Setup:

   • Clone the repository or download the model files.
   • Load the model using the diffusers library.

3. Running the Model:

   • Construct prompts using the format: your prompt + , in the middle, white background.
   • Execute the code to generate images based on your prompts.

4. Hardware Recommendations:

   • For optimal performance, consider using cloud GPUs such as those provided by AWS, Google Cloud, or Azure.

License

This model is distributed under the Apache-2.0 License, permitting use, distribution, and modification under the terms outlined in the license.