> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bizyair.vip/llms.txt
> Use this file to discover all available pages before exploring further.

# Online ComfyUI

> Cloud-hosted ComfyUI: build, publish, and share workflows without local setup.

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 hub + one-click API + workflow marketplace".

## Core Capabilities

| Capability                | Description                                                                           |
| ------------------------- | ------------------------------------------------------------------------------------- |
| Node-based editing        | Drag and connect nodes to orchestrate image / video / audio / 3D generation pipelines |
| Ready-to-use models       | Hundreds of open-source and proprietary models built in — no local downloads needed   |
| Workspace management      | Personal workflows and resources all in one place                                     |
| One-click publishing      | Publish workflows as APIs callable by external apps or agents                         |
| Community sharing         | Browse, like, favorite, and share community workflows to bring ideas to life faster   |
| Usage-based billing       | Elastic cloud GPUs billed by runtime — no extra fees                                  |
| Architecture optimization | Reduced generation time through compute optimization and self-deployed models         |

## 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

***

## Workspace

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

### Layout Overview

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

| Area                     | Main content                                       |
| ------------------------ | -------------------------------------------------- |
| Right-side function area | New workflow / folder, filter & sort               |
| Upper content area       | Folders (for archiving and categorizing workflows) |
| Lower content area       | Workflow history (including date and name)         |

***

## Workflow Editing

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

### Node Editor

#### Canvas Operations

| Action      | Mouse / shortcut                      | Effect                          |
| ----------- | ------------------------------------- | ------------------------------- |
| Pan canvas  | Right-drag / `Space + left-click`     | Move the view                   |
| Zoom        | Scroll wheel / `Cmd/Ctrl + +/-`       | Zoom in / out                   |
| Add node    | Double-click empty area               | Open the node search panel      |
| Select node | Left-click / `Shift` for multi-select | Prepare for action              |
| Copy node   | `Cmd/Ctrl + C` → `V`                  | Clone on canvas                 |
| Delete node | Select then press `Delete`            | Remove node and its connections |
| Disconnect  | Right-click a connection → Remove     | Remove only the edge            |
| Box select  | Left-drag on empty area               | Batch select and move           |
| Tidy layout | `Cmd/Ctrl + Shift + L`                | Auto-rearrange nodes            |

#### 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.

#### 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.

### Node Library

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

| Category      | Examples                                                                         |
| ------------- | -------------------------------------------------------------------------------- |
| Loader        | `Checkpoint Loader`, `LoRA Loader`, `VAE Loader`, `ControlNet Loader`            |
| Conditioning  | `CLIP Text Encode`, `Conditioning Combine`                                       |
| Sampling      | `KSampler`, `KSampler (Advanced)`, `SamplerCustom`                               |
| Latent        | `Empty Latent Image`, `Latent Upscale`                                           |
| Image / Video | `VAE Decode`, `Image Upscale`, `Video Linear CF`                                 |
| Custom        | Pre-installed extensions such as `ComfyUI-Impact-Pack`, `ComfyUI-ControlNet-Aux` |

<Note>
  If a node is missing, please go to [Feedback](https://forms.gle/Mo62qLuvUnmsChto9).
</Note>

### Models and Resources

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

1. Community models from the **platform model hub** (mounted directly from the cloud — no download needed).
2. Models and LoRAs **you have uploaded**.
3. Models and LoRAs **you have favorited**.

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

### 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 (`request_id`) for later status and result queries.

<Note>
  For long videos or multi-step sampling, try a small-resolution dry run first before scaling up the output, to avoid wasting compute.
</Note>

The `data.status` in the response will show `Queuing` / `Preparing` / `Running` / `Success` / `Failed` / `Canceled`. See [API Reference](https://docs.bizyair.ai/en/api-guide/api-quickstart).

### 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.

***

## Workflow Publishing

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

### 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).

### Publishing a Workflow

In the "Publish Workflow" panel:

| Field                | Description                                             |
| -------------------- | ------------------------------------------------------- |
| Workflow name        | The workflow name displayed in the workflow community   |
| Version name         | e.g., `V1.0`, `V2.0`                                    |
| Base model           | Base model selection, e.g., `Qwen-Image`, `Z-Image`     |
| Cover image          | A visual introduction to the workflow                   |
| Workflow description | Helps users understand the workflow's function and type |
| Public visibility    | Choose public or private                                |

***

## 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, liked, favorited, shared, downloaded, and used.

### Browse and Discover

Workflows are organized by base model.

### Search and Filter

The search box on the right supports:

* **Keyword**: Matches workflow names
* **Sort**: Recent / Most favorited / Most downloads / Most likes
* **Filter**: Base model

### Run 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.

### 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.

### 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.

***

## Task Lifecycle

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

| Stage                   | Billable                           | Description                                                    |
| ----------------------- | ---------------------------------- | -------------------------------------------------------------- |
| Queuing                 | Free                               | Task waiting in queue for GPU scheduling                       |
| Environment preparation | Free                               | Downloading model weights, pulling images, loading resources   |
| Running                 | Billable                           | Actual GPU inference time, billed at `5 BZ/sec` (`$0.005/sec`) |
| User interruption       | Billed for the portion already run | Successfully run nodes still incur charges                     |
| Platform interruption   | Free                               | Interruptions caused by the platform do not incur charges      |

<Note>
  Billing is based only on `inference_cost_time` (the inference portion); other stages are free. See [Pricing & Billing](/en/pricing/billing-model).
</Note>