This tool integrates NVIDIA TensorRT with ComfyUI to enhance the performance of Stable Diffusion models specifically on NVIDIA RTX graphics cards. By optimizing AI model execution, it significantly improves image generation speed and efficiency.
- Supports multiple Stable Diffusion versions, including SDXL and Stable Video Diffusion, ensuring versatility.
- Allows the creation of both dynamic and static TensorRT engines, tailored to specific resolution and batch size needs for optimal performance.
- Facilitates accelerated image generation through a dedicated TensorRT Loader, streamlining the workflow in ComfyUI.
Context
The TensorRT Node for ComfyUI is designed to maximize the performance of Stable Diffusion models by leveraging NVIDIA's TensorRT technology. Its primary purpose is to allow users with NVIDIA RTX GPUs to create optimized engines that enhance the speed and efficiency of AI image generation.
Key Features & Benefits
This tool provides the capability to build dynamic and static TensorRT engines, which are essential for achieving optimal performance tailored to specific use cases. Dynamic engines allow for flexibility across various resolutions and batch sizes, while static engines offer a performance boost for fixed settings, making it easier for users to handle their preferred configurations without excessive resource consumption.
Advanced Functionalities
The TensorRT Node supports advanced capabilities such as the generation of TensorRT engines from model checkpoints, enabling users to convert their models efficiently. Users can choose between dynamic engines, which cater to a range of parameters, or static engines for consistent performance at specific settings. This flexibility is particularly beneficial for users who frequently work with specific resolutions and batch sizes.
Practical Benefits
By integrating TensorRT into ComfyUI, this tool significantly enhances workflow efficiency, allowing for faster image generation and reduced wait times. Users can expect a more streamlined process when generating images, as the optimized engines facilitate quicker responses from the AI models, ultimately leading to a more productive experience.
Credits/Acknowledgments
The original authors and contributors of the TensorRT Node for ComfyUI are acknowledged, with the project made available under an open-source license. This collaborative effort enables continuous improvement and adaptation within the community of AI art creators.