flux_film_foto

Introduction

The FLUX FILM FOTO model by alvdansen is a text-to-image model designed to create realistic images with a "flmft photo style." The model is based on open-source/open-license photographs and aims to deliver a unique vintage or faded film aesthetic.

Architecture

The model utilizes stable diffusion techniques and is part of the Hugging Face's Diffusers library. It operates with a base model from Black Forest Labs, specifically FLUX.1-dev. The model supports the use of "flmft photo style" as a trigger word to generate images.

Training

This model was trained using open-source photographs to achieve a realism effect. The training process focused on capturing the essence of vintage and faded film styles, allowing for rich and contextually interesting image outputs. Future updates may enhance its style capabilities further.

Guide: Running Locally

To run the FLUX FILM FOTO model locally, follow these steps:

1. Installation: Ensure you have the necessary libraries, including Hugging Face Transformers and Diffusers.
2. Download Weights: Obtain the model weights in Safetensors format from the Files & Versions tab.
3. Setup Environment: Set up your Python environment with the required dependencies.
4. Execute Model: Use the provided example prompts and the "flmft photo style" trigger to generate images.

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

License

This model is distributed under the CreativeML OpenRAIL-M license. This license allows for open and collaborative use while maintaining some rights for the original creators.