ComfyENTERPRISE

Govern ComfyUI across every team and runtime.

Standardize how teams build, run, and deploy visual AI with ComfyUI Managed Builds, production capacity, commercial licensing, and hands-on implementation support.

  • Approved, reproducible ComfyUI Managed Builds
  • Dedicated GPU capacity, priority queueing, and enterprise SLAs
  • Commercial licensing, security review, and hands-on delivery
WAYS TO SCALE WITH COMFY

The open standard for visual AI, ready for your organization.

Your team builds the workflows. Comfy runs them, governs them, and licenses them for commercial use.

MANAGED BUILDS

One approved ComfyUI environment, everywhere your team runs it.

Define the ComfyUI release, custom nodes, models, and dependencies your team is approved to run. Ship the same versioned build wherever the work happens.

  • Private custom nodes and models
  • Use supported provider keys and existing contracts
  • Assign approved builds through company identity

COMFYUI RELEASE

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PYTHON · PYTORCH · CUDA

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CUSTOM NODES

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MODELS

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v0.3.41 · py3.12 · torch 2.6
4 nodes · 3 models · pinned

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COMMERCIAL RIGHTS

Model licensing

Commercial terms for MiniMax today, with local model terms available by provider on request.

HANDS-ON DELIVERY

Forward Deployed Creatives

Work with ComfyUI specialists who design production Comfy Workflows alongside your creative and technical teams, then leave your team with workflows it can run, inspect, and extend.

Govern the build, models, people, and usage.

Build policy
Pin the ComfyUI release, custom nodes, models, and dependencies that belong in an approved build.
Model policy and BYOK
Choose the partner, open, and private models teams can use. Bring supported provider keys and existing contracts.
People and access
Use company identity and SSO to assign approved environments to the teams that need them.
Usage visibility and audit requirements
Track usage by model and partner on the Developer Platform. Scope authentication, build-assignment, release, retention, and export requirements during enterprise security review.

The graph stays flexible. The environment around it becomes an approved, reviewable operating model for the organization.

Capacity and support for production.

Dedicated GPU capacity
Reserve GPU capacity for production workloads through the Developer Platform, sized around your deployment plan.
Priority queueing
Production jobs run ahead of standard shared-capacity traffic when demand spikes.
Flexible deployment
Run Comfy Workflows on Comfy Cloud, through the Developer Platform, or on infrastructure you control.
Custom SLAs and support
Get guided onboarding, priority support, direct access to Comfy engineering, and response commitments defined in your agreement.

Enterprise includes a 99.5% workflow-execution uptime SLA. Dedicated capacity, response commitments, and custom SLA terms are defined in your agreement.

Built with studios in the room

EXPLORE WORKFLOWS

A clearer path through security review.

SOC 2

Type II audit in progress.

Identity

Single Sign-On is available for enterprise teams.

Data control

For local deployments, Comfy Workflows and outputs stay where they run. Comfy does not train on customer data.

Procurement

A DPA and enterprise agreement are available.

Processing is in the United States on Google Cloud. Enterprise includes a 99.5% workflow-execution uptime SLA.

Enterprise, answered.

Bring the open standard for visual AI to your organization.

Bring one known-good environment or the production requirement your team needs to scale. We will map deployment, governance, capacity, commercial terms, and the right implementation path.

Team plans

Give teams a shared credit pool for Cloud GPU time and partner-model usage, plus centralized billing, single sign-on, and App mode.

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