comfyui-api

mckruz/comfyui-expert · updated Apr 8, 2026

$npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-api
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summary

Connect to ComfyUI's REST API to execute workflows, monitor progress, and retrieve outputs.

skill.md

ComfyUI API Skill

Connect to ComfyUI's REST API to execute workflows, monitor progress, and retrieve outputs.

Configuration

  • Default URL: http://127.0.0.1:8188
  • Custom URL: Set in project manifest or pass as parameter
  • Timeout: 30s for API calls, no timeout for generation polling

Two Modes

Online Mode (ComfyUI Running)

Full API access. Preferred mode for interactive work.

  1. Test connection: GET /system_stats
  2. Discover capabilities: Use comfyui-inventory skill
  3. Queue workflow: POST /prompt
  4. Poll for results: GET /history/{prompt_id} every 5 seconds
  5. Retrieve outputs: GET /view?filename=...

Offline Mode (No Server)

Export workflow JSON for manual loading in ComfyUI.

  1. Generate workflow JSON following ComfyUI's format
  2. Save to projects/{project}/workflows/{name}.json
  3. Instruct user to drag-drop into ComfyUI

API Operations

Check Server Status

curl http://127.0.0.1:8188/system_stats

Response fields:

  • system.os: Operating system
  • system.comfyui_version: Version string
  • devices[0].name: GPU name
  • devices[0].vram_total: Total VRAM bytes
  • devices[0].vram_free: Free VRAM bytes

Queue a Workflow

curl -X POST http://127.0.0.1:8188/prompt \
  -H "Content-Type: application/json" \
  -d '{"prompt": WORKFLOW_JSON, "client_id": "video-agent"}'

WORKFLOW_JSON format:

{
  "1": {
    "class_type": "LoadCheckpoint",
    "inputs": {
      "ckpt_name": "flux1-dev.safetensors"
    }
  },
  "2": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "photorealistic portrait...",
      "clip": ["1", 1]
    }
  }
}

Each node is keyed by a string ID. Inputs reference other nodes as ["{node_id}", {output_index}].

Response:

{"prompt_id": "abc-123-def", "number": 1}

Poll for Completion

curl http://127.0.0.1:8188/history/abc-123-def

Incomplete: Returns {} (empty object) Complete: Returns execution data with outputs:

{
  "abc-123-def": {
    "outputs": {
      "9": {
        "images": [{"filename": "ComfyUI_00001.png", "subfolder": "", "type": "output"}]
      }
    },
    "status": {"completed": true}
  }
}

Retrieve Output Image

curl "http://127.0.0.1:8188/view?filename=ComfyUI_00001.png&subfolder=&type=output" -o output.png

Upload Reference Image

curl -X POST http://127.0.0.1:8188/upload/image \
  -F "image=@reference.png" \
  -F "subfolder=input" \
  -F "type=input"

Cancel Current Generation

curl -X POST http://127.0.0.1:8188/interrupt

Free VRAM

curl -X POST http://127.0.0.1:8188/free \
  -H "Content-Type: application/json" \
  -d '{"unload_models": true}'

Polling Strategy

ComfyUI doesn't support WebSocket in CLI context. Use REST polling:

  1. Queue workflow via POST /prompt → get prompt_id
  2. Poll GET /history/{prompt_id} every 5 seconds
  3. On empty response: generation in progress, continue polling
  4. On populated response: check status.completed
  5. If completed: true, extract outputs
  6. If error in status, route to comfyui-troubleshooter

Timeout: Warn user after 10 minutes of polling. Video generation (Wan 14B) can take 15-30 minutes.

Workflow Validation

Before queuing any workflow:

  1. Read state/inventory.json (via comfyui-inventory)
  2. For each node in workflow: verify class_type exists in installed nodes
  3. For each model reference: verify file exists in installed models
  4. Flag missing items with:
    • Node: suggest ComfyUI-Manager install command
    • Model: provide download link from references/models.md
    • Version mismatch: suggest update

Error Handling

Error Cause Action
Connection refused ComfyUI not running Switch to offline mode, save JSON
400 Bad Request Invalid workflow JSON Validate node connections
500 Internal Error ComfyUI crash Suggest restart, check logs
Timeout (no response) Server overloaded Wait and retry once

Reference

Full API documentation: foundation/api-quick-ref.md

Discussion

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Ratings

4.641 reviews
  • Ren Garcia· Dec 28, 2024

    Keeps context tight: comfyui-api is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aanya Menon· Dec 12, 2024

    Registry listing for comfyui-api matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Emma Rahman· Dec 4, 2024

    We added comfyui-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amina Sethi· Nov 27, 2024

    I recommend comfyui-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Michael Flores· Nov 23, 2024

    comfyui-api reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ren Martin· Nov 19, 2024

    comfyui-api has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yash Thakker· Nov 11, 2024

    I recommend comfyui-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Evelyn Agarwal· Nov 3, 2024

    comfyui-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Michael Park· Oct 22, 2024

    We added comfyui-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Tariq Choi· Oct 18, 2024

    Useful defaults in comfyui-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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