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comfyui-api

comfyui-api

github.com/mckruzCreative & media922.0k installsUpdated 32w ago
Repository

About comfyui-api

comfyui-api is a skill for operating ComfyUI through its REST API, for users who need to run workflows and collect their outputs. It supports status checks, workflow submission, progress polling, output retrieval, image upload, cancellation, and an offline JSON export path when the server is unavailable.

Key features

  1. 01REST API connection and status checks
  2. 02Workflow submission and progress polling
  3. 03Image and output file transfer
  4. 04Generation cancellation and VRAM release
  5. 05Offline workflow JSON export

Use cases

  1. 01Check whether ComfyUI is running
  2. 02Submit a workflow and monitor completion
  3. 03Retrieve generated images
  4. 04Export workflows when the server is offline

Install

Copy the command and run it in a terminal.

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

After installing, type/comfyui-apiin Claude Code to confirm it loaded.

Details

From the project README

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 "[email protected]" \
  -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

ErrorCauseAction
Connection refusedComfyUI not runningSwitch to offline mode, save JSON
400 Bad RequestInvalid workflow JSONValidate node connections
500 Internal ErrorComfyUI crashSuggest restart, check logs
Timeout (no response)Server overloadedWait and retry once

Reference

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

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