Comfy UI Developer

Key Responsibilities

Design, build, and maintain

ComfyUI workflows

for image/video generation tasks tailored to production needs.

Develop and integrate

custom ComfyUI nodes

using Python to extend functionality beyond out-of-the-box capabilities.

Act as the

bridge between the AI team and Pipeline team

translating AI/ML capabilities into practical, production-ready tools and workflows.

Collaborate with the AI team to understand model capabilities (Stable Diffusion, ControlNet, LoRA, etc.) and translate them into usable ComfyUI pipelines.

Work with the Pipeline team to ensure workflows integrate smoothly with existing production tools, asset management, and file structures.

Troubleshoot and debug workflow issues, node errors, and performance bottlenecks in ComfyUI setups.

Optimize workflows for speed, stability, and repeatability across multiple shots/projects.

Document workflows, custom nodes, and processes clearly so they can be used and maintained by others.

Stay current with the fast-evolving ComfyUI/AI ecosystem and proactively suggest improvements or new tools/techniques.

Required Skills & Experience

Minimum 1 year of hands-on experience with ComfyUI

building and customizing workflows in a real production or project setting.

Strong proficiency in

Python

, including experience writing custom nodes/scripts.

Solid understanding of AI image/video generation concepts (diffusion models, conditioning, sampling, etc.).

Ability to debug and resolve technical issues independently.

Strong communication skills and comfortable working across both AI/technical teams and production/pipeline teams.

Ability to document workflows and processes clearly for non-AI-specialist team members.

Good to Have (Not Mandatory)

Familiarity with production pipeline concepts (asset management, file structures, version control).

Experience working in a VFX, animation, or content production environment.

Exposure to related AI tools/frameworks beyond ComfyUI.