OpenClaw

drawthings

Generate images with DrawThings (Stable Diffusion) via API. Use when creating images from text prompts, running image generation workflows, or batch generating images. DrawThings runs locally on Mac with MLX/CoreML acceleration.

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查看来源 ↗安装与使用 SKILL.md ↗

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 dustinparsons/drawthings

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

DrawThings Image Generation

Generate images using DrawThings, a local Stable Diffusion implementation for Mac with MLX/CoreML acceleration. DrawThings exposes an Automatic1111-compatible API for programmatic image generation.

When to Use

Use this skill when you need to:

Generate images from text prompts
Create variations of a concept
Batch generate multiple images
Test different models/samplers/settings
Generate images with specific dimensions or quality settings

Configuration

Set the DRAWTHINGS_URL environment variable (defaults to http://127.0.0.1:7860):

export DRAWTHINGS_URL="http://127.0.0.1:7860"

Or configure in OpenClaw:

openclaw config set env.DRAWTHINGS_URL "http://127.0.0.1:7860"

Quick Start

Generate a single image:

python3 scripts/generate.py "a cyberpunk cat in neon city"

With custom settings:

python3 scripts/generate.py "a cyberpunk cat" \
  --steps 20 \
  --cfg-scale 7.5 \
  --width 768 \
  --height 768 \
  --sampler "DPM++ 2M Karras"

Batch generation (5 variations):

python3 scripts/generate.py "a fantasy landscape" --batch-size 5

Save to specific location:

python3 scripts/generate.py "portrait photo" --output ./outputs/portrait.png

API Usage

The skill provides a Python script that wraps the DrawThings API (Automatic1111-compatible):

Main endpoint: POST /sdapi/v1/txt2img

Common parameters:

prompt - Text description of the image
negative_prompt - What to avoid in the image
steps - Number of diffusion steps (8-50, default: 20)
sampler_name - Sampler algorithm (default: "DPM++ 2M Karras")
cfg_scale - Classifier-free guidance scale (1.0-20.0, default: 7.0)
width / height - Image dimensions (default: 512x512)
batch_size - Number of images to generate (default: 1)
seed - Random seed for reproducibility (-1 for random)

See references/api-reference.md for complete API documentation.

Presets

**Fast...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/dustinparsons/drawthings
Version: —
Commit: 5f0a78d485d3cea907972c62983175927cfea16b
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

# DrawThings Image Generation

Generate images using DrawThings, a local Stable Diffusion implementation for Mac with MLX/CoreML acceleration. DrawThings exposes an Automatic1111-compatible API for programmatic image generation.

## When to Use

Use this skill when you need to:
- Generate images from text prompts
- Create variations of a concept
- Batch generate multiple images
- Test different models/samplers/settings
- Generate images with specific dimensions or quality settings

## Configuration

Set the `DRAWTHINGS_URL` environment variable (defaults to http://127.0.0.1:7860):

```bash
export DRAWTHINGS_URL="http://127.0.0.1:7860"
```

Or configure in OpenClaw:
```bash
openclaw config set env.DRAWTHINGS_URL "http://127.0.0.1:7860"
```

## Quick Start

Generate a single image:
```bash
python3 scripts/generate.py "a cyberpunk cat in neon city"
```

With custom settings:
```bash
python3 scripts/generate.py "a cyberpunk cat" \
  --steps 20 \
  --cfg-scale 7.5 \
  --width 768 \
  --height 768 \
  --sampler "DPM++ 2M Karras"
```

Batch generation (5 variations):
```bash
python3 scripts/generate.py "a fantasy landscape" --batch-size 5
```

Save to specific location:
```bash
python3 scripts/generate.py "portrait photo" --output ./outputs/portrait.png
```

## API Usage

The skill provides a Python script that wraps the DrawThings API (Automatic1111-compatible):

**Main endpoint:** `POST /sdapi/v1/txt2img`

**Common parameters:**
- `prompt` - Text description of the image
- `negative_prompt` - What to avoid in the image
- `steps` - Number of diffusion steps (8-50, default: 20)
- `sampler_name` - Sampler algorithm (default: "DPM++ 2M Karras")
- `cfg_scale` - Classifier-free guidance scale (1.0-20.0, default: 7.0)
- `width` / `height` - Image dimensions (default: 512x512)
- `batch_size` - Number of images to generate (default: 1)
- `seed` - Random seed for reproducibility (-1 for random)

See `references/api-reference.md` for complete API documentation.

## Presets

**Fast...

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