Search Results for "node"

ComfyUI_TensorRT is an extension that lets ComfyUI run AI inference through NVIDIA’s TensorRT, aiming to get faster, more efficient execution on supported GPUs. It bridges the gap between ComfyUI’s flexible, node-based workflows and TensorRT’s highly optimized engine format. The result is that complex diffusion or image-processing graphs can be accelerated without the user having to rewrite the pipeline. The repo typically includes instructions for converting models to TensorRT engines and for wiring those engines into ComfyUI nodes. This is particularly attractive for power users who run many generations or who host ComfyUI on dedicated hardware and want to squeeze out every bit of GPU performance. ...

...This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission is to advance and democratize AI tooling. We believe that the future of AI tooling is open-source and community-driven.

...By leveraging diffusion and motion transfer techniques, it produces smooth and coherent animations. Overall, it provides an accessible way to generate portrait animations within a node-based pipeline.

The ComfyUI-KJNodes project is a collection of custom nodes designed to extend the functionality of ComfyUI workflows. It provides a wide range of utility nodes that enhance control over generation processes, including scheduling, conditioning, and data manipulation. These nodes are intended to fill gaps in the default ComfyUI toolkit, offering additional flexibility for building complex pipelines. The project is often used alongside other extensions, such as video wrappers, to enable more...

Gooey is a tool for transforming command line interfaces into beautiful desktop applications. It can be used as the frontend client for any language or program. Whether you've built your application in Java, Node, or Haskell, or you just want to put a pretty interface on an existing tool like FFMPEG, Gooey can be used to create a fast, practically free UI with just a little bit of Python (about 20 lines!). To show how this all fits together, and that it really works for anything, we're going to walk through building a graphical interface to one of my favorite tools of all time: FFMPEG. ...