FlowScale is a no-code/low-code platform designed for running ComfyUI on cloud GPUs, enabling users to build, manage, and deploy AI-powered workflows as scalable, serverless APIs or shareable AI applications (Gradio UIs). Whether you’re an AI artist, developer, designer, or founder, FlowScale provides a collaborative and intuitive environment to create AI workflows without the need to manage complex infrastructure.This documentation will guide you through everything you need to know—from getting started with FlowScale to advanced topics like managing workflows, deploying APIs, and scaling applications.
FlowScale is a platform that simplifies the process of building and deploying AI solutions based on ComfyUI workflows. By providing an integrated cloud environment, FlowScale empowers users to:
Run ComfyUI on cloud GPUs: No more local hardware limitations—use FlowScale’s cloud infrastructure to process large AI workflows quickly.
Collaborate on workflows: Work with your team to build and manage AI workflows in real time.
Deploy workflows as APIs: Turn your AI workflows into scalable, serverless APIs that can be integrated into applications.
Create shareable AI apps with Gradio UIs: Build interactive AI applications that can be shared via simple URLs, without requiring end-users to install any software.
FlowScale allows users to design and execute AI workflows without writing any code. The intuitive ComfyUI interface lets you visually connect different components (nodes) to build powerful AI models.
Drag-and-drop node editor: Build workflows by connecting pre-built components.
Custom nodes: Extend your workflows with custom nodes that suit your specific AI needs.
Workflow versioning: Save and track different versions of your workflows, allowing for easy collaboration and experimentation.
FlowScale takes the hassle out of infrastructure management by providing access to powerful cloud GPUs, including T4, L4, A100, and H100 GPUs, allowing users to scale their workflows efficiently.
Choose from multiple GPU types based on your performance needs.
Seamless scaling: Run large AI models and workflows without worrying about hardware limitations.
GPU management: Monitor GPU usage and optimize workflows for faster execution.
FlowScale is designed for teams to collaborate on building AI workflows. Multiple users can work on the same project, with built-in version control and role-based access.
Project-based collaboration: Add team members to projects with specific permissions (owners, collaborators).
GitHub integration: Each FlowScale project is backed by a GitHub repository, ensuring all workflows and custom nodes are securely versioned and accessible.
FlowScale is designed for a wide range of users, from AI developers to non-technical creators. Here’s how FlowScale benefits different user groups:
AI Artists: Run and deploy AI models like Stable Diffusion or custom generative AI workflows, all from the cloud.
Founders & Business Leaders: Leverage FlowScale’s powerful AI infrastructure to deploy machine learning models as services without needing in-depth technical knowledge.
Designers: Experiment with cutting-edge AI tools and workflows to integrate into design projects, all without touching code.
Developers: Use FlowScale’s API deployment tools to integrate AI models into applications, ensuring scalability and reliability.
FlowScale is built to streamline every aspect of AI workflow management and deployment. Here’s a brief overview of how the platform works:
Create a Project: Start by creating a project where your workflows, models, and nodes will be stored. Each project is backed by a GitHub repository, ensuring version control and collaboration.
Build or Import a Workflow: Use the drag-and-drop interface of ComfyUI to build a workflow, or import an existing one. You can configure custom nodes, models, and inputs/outputs.
Configure Inputs and Outputs: Before deployment, define the inputs and outputs of your workflow. This configuration allows for seamless API and UI creation.
Deploy as an API or Gradio UI: With just a few clicks, deploy your workflow as a scalable API or a shareable Gradio UI. FlowScale automatically generates API documentation and provides links for Gradio UIs.
Monitor and Scale: After deployment, use FlowScale’s monitoring tools to track usage and optimize performance. Ensure your workflow scales based on user demand.
FlowScale is the ultimate solution for building and deploying AI workflows without worrying about infrastructure. It provides:
Seamless collaboration for teams building AI-driven solutions.
Powerful cloud GPU access for running complex models and workflows.
One-click deployment for creating scalable APIs and shareable AI apps.
Security and control over your workflows with GitHub integration and private repository storage.
FlowScale is here to make AI workflow management simple, scalable, and collaborative. Start exploring, building, and deploying your AI solutions today!