Online ComfyUI

Online ComfyUI deploys the full capabilities of open-source ComfyUI in the cloud and extends it with platform features such as workflow publishing, API integration, and community sharing. Think of it as an all-in-one product: “ComfyUI + model library + one-click API + workflow marketplace”.

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Core Capabilities

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Use Cases

• Rapid prototyping: Validate generative AI pipelines on devices without a GPU
• API-as-a-service: Turn designer-tuned workflows into live endpoints
• Teaching demos: Demonstrate node-based pipelines in class without per-student installs
• Creative sharing: Circulate workflows as creative assets in the community for remixing

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Workspace

The workspace is the default page after entering Online ComfyUI. It combines “My Workflows”, “New Workflow”, “Folder categorization”, “New Folder”, and “Filter & Sort”.

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Layout Overview

The workspace is divided into a right-side function area, an upper content area, and a lower content area.

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Workflow Editing

The editor is the core canvas for node-based workflows and works much like local ComfyUI.

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Node Editor

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Canvas Operations

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Adding Nodes

1. Double-click an empty area of the canvas.
2. Type a node name in the search box that appears (e.g., Load Checkpoint, KSampler, VAE Decode).
3. Click or press Enter — the node drops at the current canvas position.
4. Once placed, click and drag from its ports to connect to matching or compatible ports on the next node.

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Parameter Configuration

• Clicking a node field opens the corresponding input control (dropdown, text, slider, etc.).
• Some nodes support both “fixed value” and “reference input” modes: fixed values are set at edit time; reference inputs can be exposed as API parameters when the workflow is published.
• Hovering over a field shows a tooltip.

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Node Library

Online ComfyUI’s node library is organized into the following categories:

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Models and Resources

When loading a model in a node, the dropdown prioritizes:

1. Official models from the platform model library (mounted directly from the cloud — no download needed).
2. Models and LoRAs you have favorited or uploaded.
3. Common model combinations recommended by community workflows.

When you select a platform library model, the node automatically reads the model’s metadata (resolution tier, recommended sampler, etc.) as defaults.

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Running and Previewing

1. Finish configuring the workflow nodes and enter the relevant prompts.
2. Click Run (or Cmd/Ctrl + Enter).
3. A progress bar appears on the nodes — completed nodes turn green, running ones blue, and errored ones red.
4. Result nodes (e.g., Save Image) render thumbnails in real time; click to enlarge.
5. You can click Stop at any time during a run to cancel; time already run is still billed.
6. Each task carries a unique task ID (requestId) for later status and result queries.

The data.status in the response will show Queuing / Preparing / Running / Success / Failed / Canceled. See API Reference.

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Saving and Versioning

• Manual save: Click “Save” in the upper-left corner to overwrite the current workflow’s draft.
• Auto-save: The workflow content is automatically saved after a successful run.
• Version: The platform only retains the most recent manually saved / auto-saved workflow content.

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Workflow Publishing

Once published, other users can invoke the workflow within the community.

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Pre-publish Checklist

Before clicking publish, confirm that:

• The workflow runs successfully (the latest draft run had no errors).
• Parameters that need external control are switched to “reference input”, with names and default values defined.
• Output nodes are configured (e.g., Save Image path, Save Video filename rule).

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Publishing a Workflow

In the “Publish Workflow” panel:

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Workflow Community

The workflow community is an open marketplace where users share, discover, and remix workflows. All public workflows appear here and can be searched, forked, favorited, and used.

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Browse and Discover

Workflows are organized by base model.

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Search and Filter

The search box on the right supports:

• Keyword: Matches workflow names
• Sort: Comprehensive / Recent / Most favorited / Most downloads / Most likes
• Filter: Base model / Runnable online

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Fork and Copy

1. On the workflow detail page, click Run Workflow.
2. Click Run in the upper-right corner.
3. After a successful run, you can find the workflow in your workspace.

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Favorite and Like

• Like: A one-time signal that affects the workflow’s popularity ranking.
• Favorite: Adds to your personal collection for easy access later.
• Follow author: Get notified in the workspace “Activity” feed when the author publishes new work.

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Share and Download

• Share: Click Share to copy the workflow link.
• Download: In the right-side tab bar, click Download to download the workflow to your local machine.

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Task Lifecycle

Tasks for workflow runs go through the following stages; only the “Running” stage is billable: