Flux Super-Realism LoRA

Introduction

Flux Super-Realism LoRA is a model designed for generating highly realistic images using text-to-image techniques. It leverages advanced diffusion models to achieve photorealistic results across various styles, including hyper-realistic portraiture and ultra-realism.

Architecture

The model is built upon the FLUX.1-dev base model, enhanced through LoRA (Low-Rank Adaptation) to improve its capability in generating super-realistic images. This includes features such as face realism and high-resolution outputs.

Training

The model was trained using a dataset of 55 high-resolution images, with preferred dimensions of 1024 x 1024 and 768 x 1024. Training utilized AdamW optimizer, a constant learning rate scheduler, and noise offset parameters to refine the image quality.

Guide: Running Locally

1. Set Up Environment: Install necessary libraries, including torch and pipelines.
2. Load Model: Use the DiffusionPipeline to load the base model (black-forest-labs/FLUX.1-dev) and integrate LoRA weights from the strangerzonehf/Flux-Super-Realism-LoRA repository.
3. Configure Device: Ensure you have a CUDA-enabled GPU for optimal performance. Cloud GPUs such as those from AWS or Google Cloud can be used.
4. Generate Images: Use trigger words like "Super Realism" in your prompts for generating images.

License

The Flux Super-Realism LoRA model is licensed under the MIT License, allowing for broad use and modification, provided that proper attribution is given.