BytesAgain is a curated directory of 60,000+ AI agent skills from ClawHub, GitHub, LobeHub, and Dify. Search skills by keyword in 7 languages, browse by role (developer, creator, trader, marketer) or by use case.

How do I find AI skills on BytesAgain?

Use the search bar on BytesAgain.com to search by keyword in 7 languages. You can also browse by role (developer, creator, trader, marketer) or by use case. Each skill shows install instructions for Claude, Cursor, OpenClaw, Continue, and more.

Yes, BytesAgain is completely free. No registration required for searching skills. The MCP API is also free with rate limits.

Does BytesAgain have an API for AI agents?

Yes! BytesAgain provides a free MCP SSE endpoint at /api/mcp/sse for AI agents, plus a REST API at /api/mcp?action=search&q= . No authentication needed.

Can I request a new AI skill on BytesAgain?

Yes! Visit the Requests page on BytesAgain.com to submit a skill request. Your request will be visible to the community and notified to the site admin.

🦀 ClawHub

DrawThings Image Generation

by @dustinparsons

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.

Versionv1.0.0

Downloads2,292

Installs10

Stars⭐ 1

#image-gen #legal #automation

View on ClawHub →

TERMINAL

clawhub install drawthings

📖 About This Skill

name: drawthings description: 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. metadata: openclaw: emoji: "🎨" requires: env: ["DRAWTHINGS_URL"]

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: 1. Open DrawThings app 2. Select model from the UI 3. The API will use the currently selected model

See references/models.md for recommended models and download sources.

⚡ When to Use

Trigger	Action
- 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

💡 Examples