flux koda

Introduction

The FLUX-KODA model by Alvdansen is designed for text-to-image generation, particularly focusing on creating images with a nostalgic, 1990s photographic style. It captures the essence of vintage photography, characterized by washed-out colors, soft focus, and film grain effects.

Architecture

FLUX-KODA is built using the stable-diffusion and lora frameworks, utilizing the diffusers library for its operations. It is a variation of the base model black-forest-labs/FLUX.1-dev, incorporating specific stylistic elements defined by flmft style prompts.

Training

The model has been trained to produce images that evoke the feel of early 1990s photography. It specializes in slice-of-life scenes with a spontaneous and candid quality, mimicking the look of photographs taken with disposable cameras.

Guide: Running Locally

1. Setup Environment: Ensure you have Python and the necessary packages installed. You can use pip to install the diffusers library and other dependencies.
2. Download Model: Access the model weights in the 'Files & versions' tab on the Hugging Face model page and download them in Safetensors format.
3. Load Model: Use a script to load the model with the downloaded weights. Ensure you configure it to use the flmft style prompts for generating images.
4. Generate Images: Input text prompts to generate images. Adjust settings as needed to match the desired style.
5. Consider Cloud GPUs: For intensive tasks, using cloud-based GPUs like those from AWS, Google Cloud, or Azure can significantly enhance performance and reduce local machine load.

License

The FLUX-KODA model is released under the creativeml-openrail-m license, which allows for creative uses while respecting the terms specified by the license.