White_ Realistic Simulator_ Pony

Introduction

The White RealisticSimulator Pony model is designed to enhance the realistic painting capabilities, building upon the Pony Diffusion V6 XL framework. It incorporates specialized semantics and imagery tailored to Chinese preferences.

Architecture

This model leverages a checkpoint system trained with Pony Diffusion V6 XL as a foundation. The architectural design focuses on improving realism in generated images, which the base model does not inherently possess.

Training

The model was trained using approximately 20,000 high-quality images, ensuring precise image annotation. The training process involved a total of 10,000,000 steps, with checkpoints available at 5,000,000 steps. Training was conducted using four NVIDIA 4090 GPUs. It is recommended to set CLIP_SKIP to 2 and use specific quality keywords such as score_9, score_8, and score_7 for optimal performance.

Guide: Running Locally

To run the White RealisticSimulator Pony model locally, follow these steps:

1. Setup Environment: Ensure your environment has the necessary dependencies and libraries for model execution, such as Python and PyTorch.
2. Download Model: Obtain the model files from the Hugging Face model card page.
3. Install Required Packages: Install any required Python packages using pip install.
4. Execute Model: Run the model script using your local machine or a cloud GPU for better performance. Recommended cloud GPU services include AWS EC2, Google Cloud Platform, or NVIDIA's GPU Cloud.

License

The model is released under the MIT License, allowing for flexibility in usage and distribution while ensuring attribution to the original creators.