You’ve deployed ComfyUI workflows as production APIs—now harness their full power. This comprehensive reference shows you how to integrate FlowScale AI’s enterprise-grade infrastructure into your applications, automation systems, and business processes.Why this API matters for your business: Instead of managing local ComfyUI installations, dependency conflicts, and scaling challenges, you now have access to production-ready AI infrastructure that scales from prototype to enterprise workloads seamlessly.
The FlowScale AI API transforms your ComfyUI workflows into scalable business infrastructure. What started as creative experiments in ComfyUI now becomes reliable, governed services that can power applications, automate business processes, and serve customers at global scale.This isn’t just another API—it’s your AI workflows as enterprise infrastructure: Programmatically trigger complex AI processes, monitor their execution in real-time, and integrate sophisticated AI capabilities into any application or automation system without managing the underlying complexity.
Security is paramount in the FlowScale’s ComfyUI API. All endpoints are protected using API Key Authentication, ensuring that only authorized users can access and interact with the API. The API key must be included in the request headers as follows:
API Key Validation: Each request must include a valid API key. The API validates this key and then allows access to the relevant data on successful authentication.
Access Control: If the API key is missing, invalid, or does not match the expected value, the API will respond with appropriate error messages (401 Unauthorized or 403 Forbidden).
Ready to integrate your deployed workflows into real applications? This API reference assumes you’ve already completed the deployment process and are ready to build production integrations.
Description:
Retrieves detailed queue information for each ComfyUI instance, including running and pending tasks, to facilitate effective load management.
Description:
Executes a specified workflow by processing dynamic form data, which may include text inputs and file uploads. The workflow is dispatched to an available ComfyUI instance based on current queue sizes.
Ensuring reliability and ease of troubleshooting, the FlowScale’s ComfyUI API incorporates comprehensive error handling and logging mechanisms:
Error Responses:
The API returns meaningful HTTP status codes and error messages for various failure scenarios, including authentication issues, missing resources, and internal server errors.
The FlowScale’s ComfyUI API is designed to scale effortlessly with your application’s demands:
Dynamic ComfyUI Selection:
Implements intelligent selection of ComfyUI instances based on real-time queue sizes, ensuring optimal resource utilization and preventing overloading of any single instance.
Asynchronous Operations:
Utilizes asynchronous capabilities to handle multiple requests concurrently, enhancing performance and responsiveness.
You now have access to enterprise-grade AI infrastructure that scales with your ambitions. The FlowScale AI API transforms your creative ComfyUI work into reliable, governed services that can power everything from simple automations to complex enterprise applications.This is what you’ve built: Production-ready AI infrastructure with automatic scaling, comprehensive monitoring, and enterprise-grade reliability. Your workflows aren’t just tools anymore—they’re business assets that can serve users, power applications, and drive innovation across your organization.