F L U X.1 dev Lo R A Outfit Generator

Introduction
The FLUX.1-dev LoRA Outfit Generator is a text-to-image model capable of generating fashion outfits based on specified attributes such as color, pattern, fit, style, material, and type. Developed by TRYON LABS, it leverages LoRA (Low-Rank Adaptation) techniques and is designed for creative applications in fashion design.

Architecture
The model employs a diffusers library and uses LoRA for efficient model adaptation. It builds on the base model from black-forest-labs/FLUX.1-dev, which facilitates the generation of detailed outfit images from descriptive text prompts.

Training
The FLUX.1-dev LoRA Outfit Generator was trained using the H&M Fashion Captions Dataset, consisting of 20.5k samples. This dataset provides a broad range of fashion-related descriptions, aiding in the model's ability to generate diverse and accurate outfit images.

Guide: Running Locally

1. Installation: Clone the repository from GitHub.
2. Dependencies: Install necessary packages using requirements.txt.
3. Model Weights: Download the model weights in Safetensors format from the Files & versions tab on the model page.
4. Execution: Run the local server and input text prompts to generate images.
5. Hardware: For optimal performance, consider using cloud GPUs such as those offered by AWS, Google Cloud, or Azure.

License
This project is licensed under the MIT License, allowing for broad use with minimal restrictions.