Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
DrawThings Image Generation
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.
skill openclawclawhub Free
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.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/api-reference.md, references/models.md, scripts/generate.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- dustinparsons
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 (8 steps, UniPC Trailing): python3 scripts/generate.py "your prompt" --preset fast Quality (30 steps, DPM++ 2M Karras): python3 scripts/generate.py "your prompt" --preset quality NFT (optimized for 512x512 with good detail): python3 scripts/generate.py "your prompt" --preset nft
Workflow Examples
Character variations: python3 scripts/generate.py "electric sheep, glowing wool, cyberpunk" \ --batch-size 10 \ --steps 20 \ --cfg-scale 7.5 High-res output: python3 scripts/generate.py "detailed portrait" \ --width 1024 \ --height 1024 \ --steps 30 \ --sampler "DPM++ 2M Karras" Reproducible generation: python3 scripts/generate.py "landscape" --seed 42 # Re-run with same seed for identical output
Output
Images are saved as PNG files with metadata embedded: Prompt, negative prompt Generation parameters (steps, sampler, cfg_scale, etc.) Timestamp and seed Default location: ./drawthings_output_YYYYMMDD_HHMMSS.png
Troubleshooting
"Connection refused" Ensure DrawThings is running Check the API server is enabled in DrawThings preferences Verify the port matches (default: 7860) "Generation failed" Check prompt length (max ~75 tokens per CLIP model) Reduce dimensions if out of memory Try a different sampler Slow generation Use fewer steps (8-12 for drafts) Reduce image dimensions (512x512) Use faster samplers (UniPC, Euler A) Canvas display quirk (visual only) DrawThings UI doesn't clear the canvas between generations New images appear to render on top of previous ones in the app This is purely cosmetic - API outputs are unaffected
Tips
CFG Scale: Lower (1-3) for creative/artistic, higher (7-12) for prompt adherence Steps: 8-12 for drafts, 20-30 for final images, 50+ rarely needed Samplers: UniPC/Euler A are fast, DPM++ 2M Karras is quality, LCM for ultra-fast Dimensions: Keep to multiples of 64 (512, 768, 1024) Batch processing: Use --batch-size for variations, not multiple script calls
Models
DrawThings supports Stable Diffusion models. To change models: Open DrawThings app Select model from the UI The API will use the currently selected model See references/models.md for recommended models and download sources.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- references/api-reference.md
- references/models.md
- scripts/generate.py