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ComfyUI > Nodes > ComfyUI-MiniMax-H3-LongMedia > MiniMax H3 • Pack AV Streams

ComfyUI Node: MiniMax H3 • Pack AV Streams

Class Name

MiniMaxH3LatentLabPackAV

Category
MiniMax H3/LongMedia/Streams
Author
vizart-vj (Account age: 2338days)
Extension
ComfyUI-MiniMax-H3-LongMedia
Latest Updated
2026-08-12
Github Stars
0.02K

How to Install ComfyUI-MiniMax-H3-LongMedia

Install this extension via the ComfyUI Manager by searching for ComfyUI-MiniMax-H3-LongMedia
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-MiniMax-H3-LongMedia 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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MiniMax H3 • Pack AV Streams Description

Integrates video and audio latent streams into NestedTensor format for MiniMax H3 model synchronization and processing.

MiniMax H3 • Pack AV Streams:

The MiniMaxH3LatentLabPackAV node is designed to seamlessly integrate video and audio latent streams into a unified format known as NestedTensor, which is specifically utilized by the MiniMax H3 model. This node is essential for ensuring that both video and audio data are synchronized and compatible for further processing or analysis within the MiniMax H3 framework. By packing these streams together, it allows for efficient handling and manipulation of multimedia content, ensuring that the durations of both streams match perfectly. This capability is particularly beneficial for AI artists and developers working with complex multimedia projects, as it simplifies the process of managing and synchronizing audio-visual data.

MiniMax H3 • Pack AV Streams Input Parameters:

video_latent

The video_latent parameter represents the latent data for the video stream. It is a required input that must be provided in the form of a LATENT type. This parameter is crucial as it contains the encoded video information that will be packed into the NestedTensor format. The video latent must be properly formatted and synchronized with the audio latent to ensure successful packing.

audio_latent

The audio_latent parameter is the counterpart to the video latent, representing the latent data for the audio stream. Like the video latent, it is a required input of the LATENT type. This parameter holds the encoded audio information that will be combined with the video latent. Ensuring that the audio latent is correctly formatted and synchronized with the video latent is essential for the packing process to work correctly.

MiniMax H3 • Pack AV Streams Output Parameters:

av_latent

The av_latent output parameter is the result of the packing process, providing a single LATENT type output that contains both the video and audio streams in the NestedTensor format. This output is crucial for further processing within the MiniMax H3 model, as it ensures that both streams are synchronized and ready for any subsequent operations or analyses. The av_latent serves as a compact and efficient representation of the combined audio-visual data.

MiniMax H3 • Pack AV Streams Usage Tips:

  • Ensure that both video_latent and audio_latent inputs are correctly formatted and synchronized in terms of duration before attempting to pack them. This will prevent errors and ensure smooth processing.
  • Use this node when you need to prepare audio-visual data for processing in the MiniMax H3 model, as it simplifies the integration of separate streams into a single, manageable format.

MiniMax H3 • Pack AV Streams Common Errors and Solutions:

Video/audio batch sizes must match, got <video_batch_size> and <audio_batch_size>.

  • Explanation: This error occurs when the batch sizes of the video and audio latents do not match. The MiniMax H3 model requires that both streams have the same batch size for successful packing.
  • Solution: Ensure that the batch sizes of both video_latent and audio_latent are identical before attempting to pack them. Adjust the batch sizes as necessary to match.

The native MiniMax H3 packed model supports batch size 1, got <batch_size>.

  • Explanation: The MiniMax H3 model is designed to handle a batch size of 1 for packed audio-visual data. If a different batch size is provided, this error will occur.
  • Solution: Adjust the batch size of your input latents to 1 before using the MiniMaxH3LatentLabPackAV node to ensure compatibility with the MiniMax H3 model.

MiniMax H3 • Pack AV Streams Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-MiniMax-H3-LongMedia
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MiniMax H3 • Pack AV Streams