搜索

PythonReactSEOPDF
OpenClaw

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.

ajmwagar0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install ajmwagar/image-to-relief-stl

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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 --pixel parameter controls resolution (smaller = higher detail, bigger STL).

来源信息

Source
github
Repository
openclaw/skills
Path
skills/ajmwagar/image-to-relief-stl
Version
—
Commit
504fe92591339e3da2babf5e5faa85aea14836e4
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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
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
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 `--pixel` parameter controls resolution (smaller = higher detail, bigger STL).

相关技能

OpenClaw

1password

daggerkun007

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.