This tool offers a TensorRT-based implementation for rapid face restoration within the ComfyUI framework, specifically designed to enhance the processing speed of facial images. It is optimized for working with cropped faces, allowing users to achieve high-quality restorations efficiently.
- Provides ultra-fast face restoration capabilities using TensorRT, significantly improving performance compared to traditional methods.
- Supports multiple models, including Codeformer and Gfqgan, allowing users to choose based on their specific needs for facial restoration.
- Designed for users with compatible NVIDIA GPUs, ensuring maximum efficiency and speed during processing.
Context
This tool serves as an experimental implementation of TensorRT for face restoration in ComfyUI, focusing on enhancing the speed and efficiency of the restoration process. It is tailored for users who require fast and effective facial image processing without the need for pre- or post-processing steps.
Key Features & Benefits
The primary advantage of this tool is its ability to perform face restoration at an accelerated rate, making it suitable for applications needing real-time processing or handling large batches of images. By utilizing TensorRT, it leverages optimized performance on NVIDIA GPUs, which is crucial for artists and developers working with AI-generated images.
Advanced Functionalities
The tool allows users to work with different ONNX models, such as Gfqgan and Codeformer, providing flexibility in restoration techniques. Users can easily switch between models based on their requirements, enhancing the adaptability of the restoration process.
Practical Benefits
Integrating this tool into a ComfyUI workflow significantly improves processing speed and control over facial image quality. Users can expect enhanced efficiency when restoring faces, which is particularly beneficial for projects that require high-quality outputs in a timely manner.
Credits/Acknowledgments
This project credits contributions from the original authors of the Face Restoration TensorRT and Codeformer TensorRT repositories. It is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license, ensuring that the tool remains accessible for non-commercial use.