Optimization Nodes
Nodes in this category are designed to improve performance and reduce latency in real-time workflows.NVIDIA TensorRT
NVIDIA TensorRT
Optimizes stable diffusion performance by generating a static TensorRT engine based on Stable Diffusion parameters. This reduces inference time, making it ideal for low-latency workflows.
Explore the Example Workflow.
Node Packs
Node packs include collections of nodes designed for specific use cases, such as real-time video processing and control.ComfyUI Real-Time Nodes
ComfyUI Real-Time Nodes
A suite of nodes for real-time video processing, including tools for parameter adjustments, motion detection, and FPS monitoring. Ideal for interactive workflows with live input and output.
Explore the Example Workflows.
Task-Specific Nodes
Task-specific nodes are designed for specialized workflows, such as depth estimation or object tracking.Depth Anything TensorRT
Depth Anything TensorRT
Generates depth maps from RGB frames with low latency and efficient VRAM usage. Useful for workflows requiring depth-based effects or object tracking.
Explore the Example Workflow.
Faster LivePortrait
Faster LivePortrait
Liveportrait implementation with TensorRT engines for faster inference. Follow the documentation in the github repository to first build the docker image and engines.These engines will be saved locally and will be reused when running a FasterLivePortrait workflow.
Explore the Example Workflow.