This repository offers a TensorRT-based implementation of RIFE for rapid frame interpolation within the ComfyUI environment. It is designed to enhance the speed and efficiency of generating intermediate frames between two similar images.
- Provides ultra-fast frame interpolation using RIFE and TensorRT, allowing for real-time applications.
- Supports a wide range of resolutions from 256x256 to 3840x3840, making it versatile for different projects.
- Benchmarked performance indicates significant frame rates depending on the resolution and GPU capabilities.
Context
This tool is an implementation of the RIFE (Real-Time Intermediate Frame Extraction) algorithm optimized with TensorRT, aimed at enhancing the capabilities of ComfyUI for frame interpolation tasks. Its primary purpose is to allow users to create smooth transitions between frames, which is particularly useful in video processing and animation.
Key Features & Benefits
The integration of RIFE with TensorRT in ComfyUI allows for impressive performance enhancements, achieving high frame rates even at larger resolutions. Users can expect smoother animations and video sequences, as the interpolation algorithm effectively generates realistic intermediate frames.
Advanced Functionalities
This tool leverages TensorRT's optimization capabilities to significantly accelerate the frame interpolation process. It can handle multiple resolutions and offers a choice of different ONNX models for users to select based on their specific needs, ensuring flexibility and adaptability in various scenarios.
Practical Benefits
By utilizing this tool, users can significantly streamline their workflow in ComfyUI, gaining improved control over frame interpolation tasks. The ability to process high-resolution images at fast frame rates enhances the overall quality and efficiency of projects, making it a valuable addition for artists and developers in the AI art space.
Credits/Acknowledgments
The project acknowledges contributions from various sources, including the original RIFE implementation and related repositories. It is licensed under CC BY-NC-SA 4.0, allowing users to freely access, modify, and share the tool under the same terms.