flux nsfw highress

Introduction

FLUX-NSFW-HIGHRESS is a text-to-image model developed by CultriX, implemented using the Stable Diffusion framework with LoRA (Low-Rank Adaptation) and diffusers. It is designed to generate high-resolution, photorealistic images from text prompts, with an emphasis on detailed and realistic textures.

Architecture

The model builds upon the Stable Diffusion architecture, with enhancements using LoRA to optimize the model's adaptability to specific styles or subjects. Diffusers are used to improve the quality and diversity of generated images. It focuses on producing ultra-high resolution and photorealistic outputs, making it suitable for detailed artistic or commercial applications.

Training

FLUX-NSFW-HIGHRESS was trained using a diverse dataset of images, emphasizing high detail and realistic textures. The training process involved fine-tuning the base model with the LoRA technique to enhance specificity and detail in generated images. This involved iteratively adjusting model parameters to minimize discrepancies between generated and desired outputs.

Guide: Running Locally

1. Installation: Clone the repository from Hugging Face and install necessary dependencies using pip:

   git clone https://huggingface.co/CultriX/flux-nsfw-highress
   cd flux-nsfw-highress
   pip install -r requirements.txt
   

2. Download Model Weights: Access the model's weights, available in Safetensors format, from the Files & versions tab.
3. Setup Environment: Ensure your environment is configured with compatible versions of Python and PyTorch.
4. Run the Model: Use a script or Jupyter notebook to load the model and generate images from text prompts.
5. Cloud GPUs: For optimal performance, particularly with high-resolution outputs, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure.

License

The FLUX-NSFW-HIGHRESS model is distributed under the Apache 2.0 License. This allows for wide usage, including commercial applications, as long as the terms of the license are followed.