Preprocessor and Frame Interpolation Workflows in ComfyUI
Blog post from Comfy
ComfyUI introduces a set of preprocessor-focused template workflows designed to enhance the consistency and reusability of common tasks in image, animation, and video workflows, including depth estimation, lineart conversion, pose detection, normals estimation, and frame interpolation. These modular workflows allow for faster iteration, easier debugging, and more predictable results by cleanly separating preprocessing from generation processes. Depth estimation provides spatial awareness for edits and relighting, while lineart conversion preserves structural guidance without overconstraining style. Pose detection extracts keypoints for control over posture and movement, and normals estimation offers detailed surface orientation for relighting and stylization. Frame interpolation smooths motion by generating intermediate frames, improving temporal consistency without regenerating source frames. These workflows can be integrated into larger ComfyUI graphs, providing reliable building blocks for creative projects.
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