comfyui-api▌
mckruz/comfyui-expert · updated May 19, 2026
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Connect to ComfyUI's REST API to execute workflows, monitor progress, and retrieve outputs.
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.
- Test connection:
GET /system_stats - Discover capabilities: Use
comfyui-inventoryskill - Queue workflow:
POST /prompt - Poll for results:
GET /history/{prompt_id}every 5 seconds - Retrieve outputs:
GET /view?filename=...
Offline Mode (No Server)
Export workflow JSON for manual loading in ComfyUI.
- Generate workflow JSON following ComfyUI's format
- Save to
projects/{project}/workflows/{name}.json - 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 systemsystem.comfyui_version: Version stringdevices[0].name: GPU namedevices[0].vram_total: Total VRAM bytesdevices[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:
- Queue workflow via
POST /prompt→ getprompt_id - Poll
GET /history/{prompt_id}every 5 seconds - On empty response: generation in progress, continue polling
- On populated response: check
status.completed - If
completed: true, extract outputs - 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:
- Read
state/inventory.json(viacomfyui-inventory) - For each node in workflow: verify
class_typeexists in installed nodes - For each model reference: verify file exists in installed models
- Flag missing items with:
- Node: suggest
ComfyUI-Managerinstall command - Model: provide download link from
references/models.md - Version mismatch: suggest update
- Node: suggest
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
How to use comfyui-api on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add comfyui-api
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches comfyui-api from GitHub repository mckruz/comfyui-expert and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate comfyui-api. Access the skill through slash commands (e.g., /comfyui-api) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★41 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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