muscle Amine

Introduction

MuscleAmine is an image-to-image hyper network model trained on artwork by よし男, intended for study and personal use only. Commercial use or publication is prohibited.

Architecture

MuscleAmine leverages the base model Anything v4.5 and incorporates the upscale model CUGAN to enhance image quality. The model is designed to process artistic images, following the image-to-image pipeline.

Training

The model was specifically trained on よし男's artwork to capture the unique style and features present in the illustrations. The training focused on maintaining the original artistic aesthetics during the image transformation process.

Guide: Running Locally

1. Clone Repository: Start by cloning the repository to your local machine.
2. Install Dependencies: Ensure all necessary Python libraries and model dependencies are installed, typically listed in a requirements.txt file.
3. Download Model Weights: Obtain the model weights from the specified source if not included in the repository.
4. Run Model: Execute the model script, specifying input parameters as required for the image-to-image conversion.
5. Cloud GPUs: For optimal performance, especially with large images or batch processing, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure.

License

MuscleAmine is available for study and self-use only. Redistribution, publication, or commercial use of the model is strictly prohibited. Please respect the licensing terms and the original creator's rights.