zambav/comfyui-agent-toolkit
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Run ComfyUI in plain English from your AI agent. Image, video, and LoRA workflows — any install, any model, any agent harness.
概要
Run ComfyUI in plain English from your AI agent. Image, video, and LoRA workflows — any install, any model, any agent harness. Quick start · Worked example · What you can ask · Why it works · Works with any agent · When to use · Repo structure Stop hand-editing JSON workflows. Tell your agent what you want, and it builds the workflow, queues the jobs, watches them run, and reports back. No JSON editing. No fire-and-forget queueing. No silent failures. Just: describe it, run it, get the files. Then start issuing ComfyUI tasks to your agent. That's it. Every trigger goes through the same proven execution path (see Why this works). Real session, abbreviated. The agent follows the patterns in scripts/api_lib.py and reference-implementations.md. "Take everything in D:/renders/sci-fi and turn it into a moody cyberpunk cinematic. Use one good prompt. Output to D:/renders/sci-fi/cinematic."
README
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Run ComfyUI in plain English from your AI agent. Image, video, and LoRA workflows — any install, any model, any agent harness.
Quick start · Worked example · What you can ask · Why it works · Works with any agent · When to use · Repo structure
Talk to ComfyUI in natural language
Stop hand-editing JSON workflows. Tell your agent what you want, and it builds the workflow, queues the jobs, watches them run, and reports back.
You: "batch this entire image folder into cinematic portraits and pick good prompts"
Agent: "Where are the photos? Where should outputs go? What should I call this batch?"
You: "D:/photos/portraits, D:/photos/portraits/cinematic, 'portraits_v1'"
Agent: "47 images found. Running FLUX 2 image edit, one prompt, randomized seed."
[.. 47 jobs queued, each one blocks on completion, each one verified with /history ..]
Agent: "Done. 47/47 OK. Output: D:/photos/portraits/cinematic/batch_01/"
No JSON editing. No fire-and-forget queueing. No silent failures. Just: describe it, run it, get the files.
Quick start
# 1. Drop the skill into your agent's environment
git clone https://github.com/Zambav/comfyui-skill-public.git
cd comfyui-skill-public
# 2. Read the right entry point
# - AI agent -> AGENTS.md
# - Human operator -> SKILL.md
# 3. (Optional) Copy the production helper into your project
cp scripts/api_lib.py /path/to/your/project/
# 4. Install runtime dependencies推奨ツール
別のキーワードを試すか、フィルタを外してください。
インストール
npx skillfish add zambav/comfyui-agent-toolkit