ComfyUI Node: TI2V

Class Name

TI2V

Category
StepVideo
Author
stepfun-ai (Account age: 238days)
Extension
ComfyUI-StepVideo
Latest Updated
2025-03-27
Github Stars
0.03K

How to Install ComfyUI-StepVideo

Install this extension via the ComfyUI Manager by searching for ComfyUI-StepVideo
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-StepVideo 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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TI2V Description

Converts video data for AI artists in ComfyUI, streamlining processing and analysis workflows.

TI2V:

The TI2V node is designed to facilitate the conversion of video data into a format that can be easily processed and analyzed within the ComfyUI framework. This node is particularly useful for AI artists who wish to work with video content, as it simplifies the process of downloading, reading, and normalizing video files. By converting video data into a tensor format, the TI2V node allows for seamless integration with other nodes and processes within the ComfyUI environment. This capability is essential for tasks that involve video manipulation, analysis, or transformation, providing a streamlined workflow for handling video data.

TI2V Input Parameters:

The context does not provide specific input parameters for the TI2V node. However, based on the functionality described, it is likely that the node requires parameters related to video source or URL, download paths, or processing options. These parameters would typically control how the video is accessed, processed, and converted into a tensor format.

TI2V Output Parameters:

video_tensor

The output of the TI2V node is a video_tensor, which is a four-dimensional tensor representing the video data. This tensor is formatted as (T, H, W, C), where T is the number of frames, H is the height, W is the width, and C is the number of color channels. The tensor is normalized to a range of 0 to 1, making it suitable for further processing or analysis within the ComfyUI framework. This output is crucial for enabling subsequent nodes to perform operations on the video data, such as filtering, transformation, or feature extraction.

TI2V Usage Tips:

  • Ensure that the video URL or source path is correctly specified to avoid download errors.
  • Consider the resolution and frame rate of the video, as these can impact the size and processing time of the resulting tensor.
  • Use the output tensor in conjunction with other nodes that support tensor inputs to maximize the utility of the video data.

TI2V Common Errors and Solutions:

Video download failed

  • Explanation: This error occurs when the node is unable to download the video from the specified URL.
  • Solution: Verify that the URL is correct and accessible. Check your internet connection and ensure that the server hosting the video is online.

Invalid video format

  • Explanation: The node may encounter issues if the video format is not supported or is corrupted.
  • Solution: Ensure that the video is in a supported format, such as MP4, and that it is not corrupted. Convert the video to a compatible format if necessary.

Tensor conversion error

  • Explanation: This error can occur if there is an issue during the conversion of the video to a tensor format.
  • Solution: Check the video file for any anomalies or corruption. Ensure that the video is properly downloaded and accessible before processing.

TI2V Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-StepVideo
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