ComfyUI API & Cloud GPU Deployment
Deploy your ComfyUI workflow on a cloud GPU and receive a callable API with mapped inputs, job handling, and callback delivery.
No checkout. Tell us what you need and we will reply by email.
Service includes
What you receive
A clear scope before we discuss the details of your project.
Existing workflow and dependency review
Cloud GPU runtime setup
Custom API endpoint for agreed workflow inputs
Job status and callback or webhook integration
Basic endpoint authentication
Request, response, and error testing
API usage examples and handoff documentation
Two revisions
Delivery in about 1 week
One week of deployment support
Full description
About this service
Turn a working ComfyUI workflow into a callable service
This service deploys your existing ComfyUI workflow on cloud GPU infrastructure and exposes the agreed controls through a custom API. Your website, automation, mobile app, or internal tool can submit inputs without opening the ComfyUI node editor.
The endpoint accepts the fields defined for your workflow, starts the GPU job, and returns job information. Results can be delivered through a direct response, status endpoint, or callback webhook, depending on the runtime and your application architecture.
Deployment scope
We review the workflow JSON, models, LoRAs, custom nodes, input files, expected outputs, and GPU memory requirements. We then prepare the runtime, install its dependencies, map the public inputs to the correct workflow nodes, and test the endpoint with representative requests.
The delivery includes API documentation with request and response examples, the agreed authentication method, error behavior, and callback payload. We also provide a handoff note covering deployment settings and the customer-managed services needed to keep the endpoint running.
Requirements
You need to provide a functional ComfyUI workflow and lawful access to every required model, LoRA, and custom node. Workflow redesign, model training, or major performance changes are outside this deployment service and can be scoped through our custom workflow offer.
The buyer pays all cloud GPU, storage, bandwidth, and third-party platform charges. We will explain the expected infrastructure before launch, but usage costs depend on the selected GPU, model load time, job volume, and provider pricing.
Delivery and support
Delivery takes about 1 week after we receive a working workflow and the required model access. The service includes two revisions and one week of deployment support.
Ongoing monitoring, dependency updates, model migrations, scaling work, and maintenance are available under a separate paid agreement. Changes to the workflow or API contract after approval may require a new scope.
Have a project in mind?
Tell us what you want to achieve. We will review your message and contact you directly.