> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-train-lora-docs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Runway API Node Video Generation ComfyUI Official Example

> This article will introduce how to use Runway nodes in ComfyUI for video generation workflows

Runway is a company focused on generative AI, providing powerful video generation capabilities. Currently, ComfyUI has integrated the Runway API, allowing you to directly use the related nodes in ComfyUI for video generation.

Currently, ComfyUI natively integrates the following Runway video generation models:

* Runway Gen3a turbo
* Runway Gen4 turbo
* Runway First Last Frame to video

<Tip>
  To use the API nodes, you need to ensure that you are logged in properly and using a permitted network environment. Please refer to the [API Nodes Overview](/tutorials/api-nodes/overview) section of the documentation to understand the specific requirements for using the API nodes.
</Tip>

<Tip>
  If you find missing nodes when loading the workflow file below, it may be due to the following situations:

  1. You are not using the latest Development (Nightly) version of ComfyUI.
  2. You are using the Stable (Release) version or Desktop version of ComfyUI (which does not include the latest feature updates).
  3. You are using the latest Commit version of ComfyUI, but some nodes failed to import during startup.

  Please make sure you have successfully updated ComfyUI to the latest Development (Nightly) version. See: [How to Update ComfyUI](/installation/update_comfyui) section to learn how to update ComfyUI.
</Tip>

## Gen3a turbo Image-to-Video Workflow

### 1. Workflow File Download

The video below contains workflow information in its `metadata`. Please download and drag it into ComfyUI to load the corresponding workflow.

<video controls className="w-full aspect-video" src="https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/gen3a_turbo_image_to_video/runway_image_to_video_gen3a_turbo.mp4" />

<a className="prose" target="_blank" href="https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/gen3a_turbo_image_to_video/runway_image_to_video_gen3a_turbo.json" style={{ display: 'inline-block', backgroundColor: '#0078D6', color: '#ffffff', padding: '10px 20px', borderRadius: '8px', borderColor: "transparent", textDecoration: 'none', fontWeight: 'bold'}}>
  <p className="prose" style={{ margin: 0, fontSize: "0.8rem" }}>Download Json Format Workflow File</p>
</a>

Download the image below as input image

![ComfyUI Runway gen3a turbo image to video Input Image](https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/gen3a_turbo_image_to_video/steampunk.png)

### 2. Complete the Workflow Execution Step by Step

![ComfyUI Runway gen3a turbo image to video Step Guide](https://mintlify.s3.us-west-1.amazonaws.com/dripart-train-lora-docs/images/tutorial/api_nodes/runway/runway_gen3a_turbo_image_to_video_step_guide.jpg)

You can refer to the numbers in the image to complete the basic image-to-video workflow execution:

1. In the `Load Image` node, load the provided input image
2. In the `Runway Gen3a turbo` node, set the `prompt` to describe video content, modify the `duration` parameter to set video length, modify the `ratio` parameter to set video aspect ratio
3. Click the `Run` button, or use the shortcut `Ctrl(cmd) + Enter` to execute video generation.
4. After waiting for the API to return results, you can view the generated video in the `Save Video` node (right-click to save). The corresponding video will also be saved to the `ComfyUI/output/` directory.

## Gen4 turbo Image-to-Video Workflow

### 1. Workflow File Download

The video below contains workflow information in its `metadata`. Please download and drag it into ComfyUI to load the corresponding workflow.

<video controls className="w-full aspect-video" src="https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/gen4_turbo_image_to_video/runway_gen4_turo_image_to_video.mp4" />

<a className="prose" target="_blank" href="https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/gen4_turbo_image_to_video/runway_gen4_turo_image_to_video.json" style={{ display: 'inline-block', backgroundColor: '#0078D6', color: '#ffffff', padding: '10px 20px', borderRadius: '8px', borderColor: "transparent", textDecoration: 'none', fontWeight: 'bold'}}>
  <p className="prose" style={{ margin: 0, fontSize: "0.8rem" }}>Download Json Format Workflow File</p>
</a>

Download the image below as input image

![ComfyUI Runway gen4 turbo image to video Input Image](https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/gen4_turbo_image_to_video/godfather.jpg)

### 2. Complete the Workflow Execution Step by Step

![ComfyUI Runway gen4 turbo image to video Step Guide](https://mintlify.s3.us-west-1.amazonaws.com/dripart-train-lora-docs/images/tutorial/api_nodes/runway/runway_gen4_turbo_image_to_video_step_guide.jpg)

You can refer to the numbers in the image to complete the basic image-to-video workflow execution:

1. In the `Load Image` node, load the provided input image
2. In the `Runway Gen4 turbo` node, set the `prompt` to describe video content, modify the `duration` parameter to set video length, modify the `ratio` parameter to set video aspect ratio
3. Click the `Run` button, or use the shortcut `Ctrl(cmd) + Enter` to execute video generation.
4. After waiting for the API to return results, you can view the generated video in the `Save Video` node (right-click to save). The corresponding video will also be saved to the `ComfyUI/output/` directory.

## First-Last Frame Video Generation Workflow

### 1. Workflow File Download

The video below contains workflow information in its `metadata`. Please download and drag it into ComfyUI to load the corresponding workflow.

<video controls className="w-full aspect-video" src="https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/first_last_frame_to_video/runway_first_last_frame.mp4" />

<a className="prose" target="_blank" href="https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/first_last_frame_to_video/runway_first_last_frame.json" style={{ display: 'inline-block', backgroundColor: '#0078D6', color: '#ffffff', padding: '10px 20px', borderRadius: '8px', borderColor: "transparent", textDecoration: 'none', fontWeight: 'bold'}}>
  <p className="prose" style={{ margin: 0, fontSize: "0.8rem" }}>Download Json Format Workflow File</p>
</a>

Download the images below as input images

![ComfyUI Runway gen4 turbo image to video Input Image](https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/first_last_frame_to_video/first.jpg)
![ComfyUI Runway gen4 turbo image to video Input Image](https://raw.githubusercontent.com/Comfy-Org/example_workflows/refs/heads/main/api_nodes/runway/first_last_frame_to_video/last.jpg)

### 2. Complete the Workflow Execution Step by Step

![ComfyUI Runway gen4 turbo image to video Step Guide](https://mintlify.s3.us-west-1.amazonaws.com/dripart-train-lora-docs/images/tutorial/api_nodes/runway/runway_first_last_frame_step_guide.jpg)

You can refer to the numbers in the image to complete the basic first-last frame to video workflow execution:

1. In the `Load Image` node, load the starting frame
2. In the `Load Image` node, load the ending frame
3. In the `Runway First-Last-Frame to Video` node, set the `prompt` to describe video content, modify the `duration` parameter to set video length, modify the `ratio` parameter to set video aspect ratio
4. Click the `Run` button, or use the shortcut `Ctrl(cmd) + Enter` to execute video generation.
5. After waiting for the API to return results, you can view the generated video in the `Save Video` node (right-click to save). The corresponding video will also be saved to the `ComfyUI/output/` directory.