comfyui
Drive ComfyUI (local Stable Diffusion / image-gen pipeline) via its HTTP API to generate and edit images.
Skill by metaspartan
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/metaspartan-comfyui
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About
Use cases: backend, data, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/comfyui
What's inside
- Skill name
comfyui- Description
- Drive ComfyUI (local Stable Diffusion / image-gen pipeline) via its HTTP API to generate and edit images. Use when the user has ComfyUI running and wants image generation/upscale/img2img workflows.
- License
- MIT
- Instructions
- 42 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# ComfyUI
ComfyUI is a node-based Stable Diffusion pipeline with an HTTP API. Generate images by posting a workflow (prompt graph) and polling for results.
## When to use
- "generate an image of … (via ComfyUI)"
- img2img, inpainting, upscaling, or custom SDXL/Flux workflows.
- The user references ComfyUI explicitly or has it installed.
## How it works
1. **Build a workflow graph** as JSON (`prompt` API). Each node has a `class_type` and `inputs`. A minimal txt2img graph: CheckpointLoader → CLIPTextEncode (pos/neg) → EmptyLatentImage → KSampler → VAEDecode → SaveImage.
2. **Submit:** `POST /prompt` with `{"prompt": <graph>, "client_id": <id>}`. Returns a `prompt_id`.
3. **Poll history:** `GET /history/<prompt_id>` until the output image(s) appear, then fetch from `/view?filename=…`.
4. Save outputs to the workspace and state their paths.
## Minimal node template (txt2img)
```json
{
"3": { "class_type": "KSampler", "inputs": {
"seed": 42, "steps": 25, "cfg": 7, "sampler_name": "euler", "scheduler": "normal",
"denoise": 1, "model": ["4",0], "positive": ["6",0], "negative": ["7",0],
"latent_image": ["5",0] } },
"4": { "class_type": "CheckpointLoaderSimple", "inputs": { "ckpt_name": "sdxl_base.safetensors" } },
"5": { "class_type": "EmptyLatentImage", "inputs": { "width": 1024, "height": 1024, "batch_size": 1 } },
"6": { "class_type": "CLIPTextEncode", "inputs": { "text": "<prompt>", "clip": ["4",1] } },
"7": { "class_type": "CLIPTextEncode", "inputs": { "text": "<negative>", "clip": ["4",1] } },
"8": { "class_type": "VAEDecode", "inputs": { "samples": ["3",0], "vae": ["4",2] } },
"9": { "class_type": "SaveImage", "inputs": { "filename_prefix": "cybara", "images": ["8",0] } }
}
```
## Notes
- Default server: `http://127.0.0.1:8188` (override via the request URL).
- Use the `http` tool to submit/poll; you don't need raw `fetch`.
- For img2img/inpaint, add `LoadImage` + replace `EmptyLatentImage`; lower `denoise` (~0.5–0.75) to keep structure.
- Always state the server URL and output path in your response.From metaspartan/cybara, MIT.
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Signals
- Stars
- 32
- Forks
- 9
- Open issues
- 0
- Last commit (this folder)
- Jun 24, 2026 (4 months ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/metaspartan/cybara
- Website
- cybara.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
comfyui skill. Agent Mart. https://agentmart.dev/skills/metaspartan-comfyui (last updated 2026-10-24)