automatic1111
Feature-rich Stable Diffusion Web UI for image generation. Supports txt2img, img2img, inpainting, outpainting, LoRA, extensions, upscaling, and batch processing. Widely used desktop interface with an extensive extension ecosystem and API access.
npx skills add majiayu000/claude-skill-registry --skill automatic1111 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Automatic1111 (Stable Diffusion WebUI) ## Installation ```bash # install.sh — Clone and launch Stable Diffusion WebUI git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git cd stable-diffusion-webui # Download a model (SDXL or SD 1.5) wget -P models/Stable-diffusion/ \ "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors" # Launch (auto-installs dependencies on first run) ./webui.sh --listen --api --xformers # Visit http://localhost:7860 ``` ## API: Text to Image ```python # txt2img_api.py — Generate images via the built-in REST API import requests import base64 from pathlib import Path API_URL = "http://localhost:7860" payload = { "prompt": "A serene Japanese garden with cherry blossoms, watercolor painting style, detailed", "negative_prompt": "blurry, low quality, distorted, text, watermark", "steps": 30, "cfg_scale": 7.5, "width": 1024, "height": 1024, "sampler_name": "DPM++ 2M Karras", "seed": -1, "batch_size": 1, } response = requests.post(f"{API_URL}/sdapi/v1/txt2img", json=payload) data = response.json() for i, img_b64 in enumerate(data["images"]): img_bytes = base64.b64decode(img_b64) Path(f"output_{i}.png
- Installation
- API: Text to Image
- API: Image to Image
- API: Inpainting
- Using LoRA Models
- Extensions
- Batch Processing
- Key Concepts
install.sh — Clone and launch Stable Diffusion WebUI git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git cd stable-diffusion-webui Download a model (SDXL or SD 1.5) wget -P models/Stable-diffusion/ \ Launch (auto-installs dependencies on first run) Visit http://localhost:7860 Place LoRA files in the models directory models/Lora/my_style.safetensors Install popular extensions via git clone into the extensions directory
What does the automatic1111 skill do?
Feature-rich Stable Diffusion Web UI for image generation. Supports txt2img, img2img, inpainting, outpainting, LoRA, extensions, upscaling, and batch processing. Widely used desktop interface with an extensive extension ecosystem and API access.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill automatic1111 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.