flux nsfw highres

Introduction

FLUX-NSFW-HIGHRES is a text-to-image model designed to generate high-resolution images based on textual descriptions. It utilizes Stable Diffusion and LoRA techniques, making it adept at creating photorealistic and detailed imagery, particularly in the NSFW category.

Architecture

The model leverages the Stable Diffusion framework, enhanced by LoRA (Low-Rank Adaptation) to allow fine-tuning and efficient adaptation to specific tasks. This architecture enables the generation of ultra-high-resolution images with detailed textures and realistic lighting effects.

Training

FLUX-NSFW-HIGHRES was trained using a large dataset of NSFW images, focusing on achieving high detail and realism. The training process involved optimizing the model to handle complex lighting, reflections, and textures, ensuring the output images are photorealistic.

Guide: Running Locally

To run FLUX-NSFW-HIGHRES locally, follow these steps:

1. Environment Setup: Ensure you have Python and the necessary libraries installed. You may need packages like torch, diffusers, and transformers.
2. Download Model: Obtain the model weights from the Files & Versions tab in Safetensors format.
3. Load Model: Use a compatible framework (such as PyTorch) to load the model.
4. Run Inference: Provide textual prompts to generate images. Use "nsfw" as a trigger word for the model.
5. GPU Recommendation: For optimal performance, consider using a cloud GPU service like AWS EC2, Google Cloud, or Azure to handle the computational load.

License

The model is available under the Apache-2.0 license, allowing for both personal and commercial use, with the stipulation that proper attribution is provided.