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@dhee_ai/runner-matte

v0.1.1

Published

SAM 3 concept-segmentation matte runner — extract a product (on white) + mask from an image, for compositing.

Downloads

294

Vulnerabilities

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Links

Git

Maintainers

dheeai_indhicdheeai_indhickiran7893kiran7893ganarajganaraj

Keywords

dhee-runner

Readme

dhee-runner-matte

comfy.matte — a SAM 3 concept-segmentation matte runner for Dhee.

Given an input image and a text concept (e.g. "jar of cookies", "the product", "round logo badge"), it returns:

  • <outputPath> — the segmented subject composited on a clean white background (real pixels — used as a reference for model-compositing).
  • <outputPath>_mask.png — the binary mask (for alpha composites).

Native SAM 3 (comfy_extras.nodes_sam3) under the hood: CheckpointLoaderSimple(sam3.1_multiplex) → CLIPTextEncode(concept) → SAM3_Detect, with the product-on-white built in-graph (GetImageSize → EmptyImage → ImageCompositeMasked) so it never depends on ComfyUI SaveImage preserving alpha.

Config

| key | meaning | |-----|---------| | concept / conceptInput | the text concept to segment | | imageInput | input id holding the image path | | outputPath (maskOutputPath) | where to write the cutout (+ mask) | | threshold, refineIterations, ckptName, endpoint | SAM3 / Comfy knobs |

Requires a ComfyUI endpoint (COMFYUI_BASE_URL / ENDPOINT_self_local) with the native SAM 3 nodes + the sam3.1_multiplex_fp16 checkpoint.