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pb-image-to-3d

Turn one reference image into a cleaned, scaled 3D asset: your own image-to-3D ComfyUI workflow makes the mesh, Blender decimates it to a poly budget, fixes scale, origin and material, and exports a .glb. Use for "image to 3D", "make a 3D model from this picture", "photo to glb".

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연동 도구Blender
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SKILL.md(원문)

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Image to 3D asset

What you get: a cleaned, scaled .glb from one reference image, with a preview you approved. Availability: needs the comfyui-mcp server configured in the harness (no config is shipped). Missing → stop at preflight with that message.

Inputs

  • image — the reference image path
  • comfy_workflow — path to a ComfyUI API-format workflow JSON that contains the image-to-3D nodes; required, never invented (no TripoSR or TRELLIS server ships with AOS)
  • poly_budget — maximum face count
  • project — a slug for renders/<project>/

Steps

  1. Preflight — one probe per server, before any file is written: check_comfyui_health on comfyui-mcp; get_scene_info on bdb_blender_mcp. MCP tools may be deferred in the harness: try to load the tool once via the harness MCP list before declaring it missing. Tool not loaded, call errors, or ComfyUI status is not "online" → stop with "Missing MCP: <server> (<tool> unavailable). Start <ComfyUI|Blender and click Connect to Claude in the BlenderMCP sidebar tab> and check mcpServers.<server> in your harness config." (comfyui-mcp: use the Availability message above) and write nothing except the run log — both probes answered
  2. Ask — image, comfy_workflow path, poly_budget, project slug, target size in metres → run log and renders/<project>/ — all answered, image and workflow files exist
  3. ComfyUI — the workflow file's text with the image filled in as the JSON string for queue_prompt → get_history <prompt_id> status success → get_output_media_info path of the mesh file — a mesh file exists; local_path is only set when COMFYUI_DIR is set, so if local_path is empty or exists_locally is false, stop with a clear message and import nothing
  4. Blender (bdb-blender-mcp, godmode-3d-creation) — mesh file → via execute_blender_code: import, Decimate modifier down to poly_budget, scale to the target size, origin to base centre, one material, and report face count and dimensions; get_scene_info as the cross-check — face count <= poly_budget and non-zero dimensions; save the Blender project first, since scripted code can crash the session
  5. Preview — a viewport render saved to renders/<project>/preview.png via execute_blender_code — file exists — stops for approval (taste review); changes loop back to step 4
  6. Export — execute_blender_code runs the glTF binary export → renders/<project>/asset.glb — file exists and is larger than 0 bytes; re-import the file or read the exported object stats and log face count and dimensions again

Run log: production_artifacts/pb-image-to-3d-<date>.md in the start directory, never committed

Rules

  • A failed check stops the run: write the failure into the run log and report. No silent retries.
  • Write one run-log line per step as it completes (N. done|skipped|failed — artifact — check result) and WAITING FOR APPROVAL: <step> at each stop.
  • This playbook has no GO step: it writes only under renders/<project>/ and publishes nothing.

리뷰

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