Show semantic room coverage example
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README.md
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The workflow treats the complete source scene as a semantic Ref2VA reference, names one person or object as the persistent coverage target, and asks H3 to make true editorial cuts between eight static camera setups. It extracts one frame from the stable center of each shot, saves the eight views individually, and stitches a 4×2 contact sheet.
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## Core nodes only
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The workflow uses only nodes shipped with current ComfyUI:
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The workflow treats the complete source scene as a semantic Ref2VA reference, names one person or object as the persistent coverage target, and asks H3 to make true editorial cuts between eight static camera setups. It extracts one frame from the stable center of each shot, saves the eight views individually, and stitches a 4×2 contact sheet.
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## Example
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**Original semantic scene reference**
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**Prototype scene-coverage result — six selected views from one H3 pass**
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This prototype result shows the central idea: one semantic room reference can produce several convincing viewpoints while retaining the staircase, wood paneling, furniture language, artwork, lighting, and overall identity of the location. Geometry that was hidden in the source image is necessarily inferred. The downloadable workflow develops the same method into eight explicitly timed cinematic cuts and a 4×2 sheet.
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## Core nodes only
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The workflow uses only nodes shipped with current ComfyUI:
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