I will l build custom comfyui nodes and python API workflows for developers


About this gig
Are you looking to scale your AI app run ComfyUI headlessly or execute workflows via API?
I specialize in custom ComfyUI development for developers SaaS founders and tech teams. Whether you need custom Python nodes API integration or automated generation pipelines I deliver robust production ready solutions.
WHAT I CAN DO FOR YOU
- Custom ComfyUI Nodes: Build bespoke Python nodes for custom logic or external API calls.
- API Workflow Conversion: Convert UI workflows into JSON Python payloads for headless execution.
- Cloud Setup: Deploy ComfyUI on RunPod Modal AWS or local GPU servers with API access.
- Automation: Automate image video batching queue management and Webhook integrations.
- Code Debugging Fix broken nodes resolve dependencies and optimize performance.
TECH STACK
Python, PyTorch ComfyUI API WebSockets Docker REST APIs FastAPI Flask Cloud GPUs.
WHY WORK WITH ME?
- Clean well documented modular Python code.
- Step by step setup guides & full technical support.
Please message me with your exact project scope BEFORE ordering so we can align on the best architecture!
Delivery style preference
Please inform the freelancer of any preferences or concerns regarding the use of AI tools in the completion and/or delivery of your order.
Get to know thomas
AI Image Creator ComfyUI Workflow Designer Generative AI Specialist
- FromUnited States
- Member sinceJul 2026
- Avg. response time1 hour
Languages
English, Spanish, German
FAQ
Do you deliver source code or workflow JSON?
Both. I provide clean Python code (.py) for custom nodes/scripts and optimized JSON payloads for API execution.
Can you deploy ComfyUI to cloud servers?
Yes. I can deploy headless ComfyUI on RunPod, Modal, AWS, or Vast.ai for API generation.
What do I need to provide before ordering?
Your project goal, workflow details, target environment (Local/Cloud), and any external APIs to integrate.
Is code documentation included?
Yes. Every order includes inline code comments and a clear README.md guide for installation and API calls.

