Image To Relief Stl OpenClaw Plugin & Skill | ClawHub
Looking to integrate Image To Relief Stl into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate transportation tasks instantly, without having to write custom tools from scratch.
What this skill does
Turn a source image (or multi-color mask image) into a 3D-printable bas-relief STL by mapping colors (or grayscale) to heights. Use when you have an image from an image-gen skill (nano-banana-pro, etc.) and want a real, printable model (STL) via a deterministic pipeline.
Install
ClawHub CLI
openclaw skills install @ajmwagar/image-to-relief-stlNode.js (npx)
npx clawhub@latest install image-to-relief-stlFull SKILL.md
Open originalMetadata table.
| name | description |
|---|---|
| image-to-relief-stl | Turn a source image (or multi-color mask image) into a 3D-printable bas-relief STL by mapping colors (or grayscale) to heights. Use when you have an image from an image-gen skill (nano-banana-pro, etc.) and want a real, printable model (STL) via a deterministic pipeline. |
SKILL.md content below is scrollable.
image-to-relief-stl
Generate a watertight, printable STL from an input image by mapping colors (or grayscale) to heights.
This is an orchestrator-friendly workflow:
- Use nano-banana-pro (or any image model) to generate a flat-color image.
- Run this skill to convert it into a bas-relief model.
Practical constraints (to make it work well)
Ask the image model for:
- exactly N solid colors (no gradients)
- no shadows / no antialiasing
- bold shapes with clear edges
That makes segmentation reliable.
Quick start (given an image)
bash scripts/image_to_relief.sh input.png --out out.stl \
--mode palette \
--palette '#000000=3.0,#ffffff=0.0' \
--base 1.5 \
--pixel 0.4
Grayscale mode
bash scripts/image_to_relief.sh input.png --out out.stl \
--mode grayscale \
--min-height 0.0 \
--max-height 3.0 \
--base 1.5 \
--pixel 0.4
Outputs
out.stl(ASCII STL)- optional
out-preview.svg(vector preview via potrace; best-effort)
Notes
- This v0 uses a raster heightfield meshing approach (robust, no heavy CAD deps).
- The
--pixelparameter controls resolution (smaller = higher detail, bigger STL).
ClawHub Registry URL: https://clawhub.ai/ajmwagar/skills/image-to-relief-stl