This ComfyUI tutorial shows how to remove objects from a video using the VOID: Video Inpainting workflow. The graph is simple and fast to learn: LoadVideo reads your clip, a single VOID inpainting node (c3157b75-484a-459e-b8de-57823bef5130) performs segmentation and temporal inpainting, and SaveVideo writes the cleaned result. A MarkdownNote in the canvas provides inline guidance. Under the hood, segmentation is powered by SAM3 (using the sam3.1_multiplex_fp16.safetensors checkpoint). You can guide what to erase with a text cue encoded by a T5-XXL text encoder, a hand-drawn mask, or both for maximum precision.

Technically, the core VOID node runs a two-pass, temporally-aware inpainting model from the Netflix/void-model project. Pass one removes the masked content per frame and estimates plausible backgrounds; pass two propagates structure over time to reduce flicker and preserve motion parallax. This makes it well-suited for real object removal rather than single-frame patching: reflections, shadows, and brief occlusions are handled more coherently across frames. Because it operates in fp16, it balances quality and speed on modern GPUs while keeping memory use manageable.