ComfyUI > Nodes > comfy_Pond_Nodes > 🐳Video Frame Extractor

ComfyUI Node: 🐳Video Frame Extractor

Class Name

VideoFrameExtractor

Category
🐳Pond/video
Author
Pondowner857 (Account age: 730days)
Extension
comfy_Pond_Nodes
Latest Updated
2026-01-28
Github Stars
0.04K

How to Install comfy_Pond_Nodes

Install this extension via the ComfyUI Manager by searching for comfy_Pond_Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter comfy_Pond_Nodes in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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🐳Video Frame Extractor Description

Extracts specific video frames by index for precise selection in ComfyUI projects.

🐳Video Frame Extractor:

The VideoFrameExtractor node is designed to facilitate the extraction of specific frames from a video file within the ComfyUI environment. This node is particularly useful for AI artists and creators who need to isolate and work with individual frames from a video sequence. By providing a straightforward method to select frames based on their index, this node simplifies the process of frame extraction, allowing you to focus on creative tasks rather than technical complexities. The primary goal of the VideoFrameExtractor is to enable precise frame selection, ensuring that you can easily access and manipulate the exact frame you need for your project.

🐳Video Frame Extractor Input Parameters:

video

The video parameter represents the video input from which frames will be extracted. It is expected to be in the form of an IMAGE tensor, which is a sequence of images representing the video frames. This parameter is crucial as it serves as the source material for frame extraction.

frame_index

The frame_index parameter specifies the index of the frame you wish to extract from the video. It is an integer value with a default of 0, a minimum of 0, and a maximum of 9999. This parameter directly impacts which frame is selected, allowing you to pinpoint the exact frame needed for your work.

total_frames

The total_frames parameter is optional and allows you to set a limit on the total number of frames to consider from the video. It is an integer with a default value of -1, which indicates no limit, and a range from -1 to 9999. This parameter can be useful for optimizing performance by restricting the frame extraction process to a specific portion of the video.

🐳Video Frame Extractor Output Parameters:

image

The image output parameter provides the extracted frame as an IMAGE tensor. This output is the result of the frame extraction process and represents the specific frame you selected using the frame_index parameter. It is essential for further processing or analysis in your creative workflow.

🐳Video Frame Extractor Usage Tips:

  • Ensure that the frame_index is within the valid range of your video to avoid errors and ensure accurate frame extraction.
  • Use the total_frames parameter to limit the number of frames processed, which can improve performance when working with large video files.

🐳Video Frame Extractor Common Errors and Solutions:

Frame index exceeds video length

  • Explanation: This error occurs when the specified frame_index is greater than the total number of frames in the video.
  • Solution: Adjust the frame_index to be within the valid range of the video frames. If unsure, set it to a lower value or use the last frame index.

Invalid video input

  • Explanation: This error arises when the video parameter does not contain a valid IMAGE tensor.
  • Solution: Verify that the video input is correctly loaded and formatted as an IMAGE tensor before using the node.

🐳Video Frame Extractor Related Nodes

Go back to the extension to check out more related nodes.
comfy_Pond_Nodes
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