RealVisXL V4.0

Introduction

RealVisXL V4.0 is a text-to-image model designed for photorealistic image generation. It supports both safe-for-work (SFW) and not-safe-for-work (NSFW) image creation. The model is currently in its training phase, which means it may contain artifacts and occasionally produce suboptimal results.

Architecture

RealVisXL V4.0 utilizes the StableDiffusionXLPipeline architecture, integrated with the Hugging Face Diffusers library. It employs advanced sampling methods and upscaling techniques to enhance image quality.

Training

The model is still undergoing training, and the current version is not final. Users may notice some inconsistencies in image output. The model focuses on photorealistic rendering, and recommended prompts and parameters are provided to optimize image quality.

Guide: Running Locally

To run RealVisXL V4.0 locally:

1. Install Dependencies: Ensure you have Python and the Hugging Face diffusers library installed.
2. Download the Model: Access the model files from the Hugging Face repository or Mage.Space.
3. Set Up Environment: Configure your environment for GPU acceleration. Consider using cloud GPU services like AWS, Google Cloud, or Azure for optimal performance.
4. Run Inference: Use the recommended generation and hires fix parameters for best results.

Recommended Generation Parameters:

• Sampling Steps: 25+
• Sampling Method: DPM++ 2M Karras

Recommended Hires Fix Parameters:

• Hires Steps: 10+
• Upscaler: 4x-UltraSharp or similar
• Denoising Strength: 0.1 - 0.5
• Upscale by: 1.1-2.0

License

RealVisXL V4.0 is licensed under openrail++, allowing for broad usage while ensuring responsible implementation and distribution.