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ComfyUI > Nodes > Spark-H3 > Load MiniMax H3 AV Latent Cache

ComfyUI Node: Load MiniMax H3 AV Latent Cache

Class Name

LoadMiniMaxH3AVLatentCache

Category
model/latent/minimax
Author
zechengtang (Account age: 2247days)
Extension
Spark-H3
Latest Updated
2026-10-14
Github Stars
0.08K

How to Install Spark-H3

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

Retrieve and load pre-saved latent cache for deferred video and audio processing in AI workflows.

Load MiniMax H3 AV Latent Cache:

The LoadMiniMaxH3AVLatentCache node is designed to retrieve and load a two-stream latent cache that has been previously saved using the SaveMiniMaxH3AVLatentCache node. This node is essential for workflows that involve deferred processing of video and audio data, allowing you to efficiently manage and utilize pre-processed latent data without the need for immediate decoding. By leveraging this node, you can streamline your workflow, particularly in scenarios where you need to handle large datasets or complex processing tasks. The node ensures that the latent data is correctly loaded and ready for further processing or analysis, making it a valuable tool for AI artists working with the MiniMax-H3 model.

Load MiniMax H3 AV Latent Cache Input Parameters:

cache_path

The cache_path parameter specifies the file path to the saved latent cache. This path should point to a .safetensors file that contains the two-stream latent data for video and audio. The default value is set to "/tmp/minimax_h3_av.safetensors", but you can change it to any valid file path where your latent cache is stored. This parameter is crucial as it directs the node to the correct location of the latent data, ensuring that the subsequent processing steps have access to the necessary inputs.

Load MiniMax H3 AV Latent Cache Output Parameters:

LATENT

The output parameter LATENT represents the loaded latent data, which consists of both video and audio streams. This output is crucial for further processing steps, as it provides the necessary data in a format that can be used by other nodes or functions within your workflow. The LATENT output ensures that the data is correctly structured and ready for tasks such as decoding, analysis, or transformation, making it an integral part of the data processing pipeline.

Load MiniMax H3 AV Latent Cache Usage Tips:

  • Ensure that the cache_path is correctly set to the location of your saved latent cache file to avoid errors during loading.
  • Use this node in conjunction with the SaveMiniMaxH3AVLatentCache node to create a seamless workflow for saving and loading latent data, which can help optimize processing time and resource usage.

Load MiniMax H3 AV Latent Cache Common Errors and Solutions:

invalid MiniMax-H3 AV latent cache: <path>

  • Explanation: This error occurs when the file at the specified cache_path does not contain the expected video and audio streams.
  • Solution: Verify that the file at the cache_path is a valid .safetensors file containing the correct latent data. Ensure that the file was saved using the SaveMiniMaxH3AVLatentCache node and that it has not been corrupted or altered.

FileNotFoundError: [Errno 2] No such file or directory: <path>

  • Explanation: This error indicates that the specified cache_path does not exist or is incorrect.
  • Solution: Double-check the cache_path to ensure it points to the correct location of the latent cache file. Make sure the file path is accurate and that the file exists at the specified location.

Load MiniMax H3 AV Latent Cache Related Nodes

Go back to the extension to check out more related nodes.
Spark-H3
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Load MiniMax H3 AV Latent Cache