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

ComfyUI Node: Save MiniMax H3 AV Latent Cache

Class Name

SaveMiniMaxH3AVLatentCache

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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Save MiniMax H3 AV Latent Cache Description

Efficiently store latent representations of video and audio streams for deferred processing and reduced computational overhead.

Save MiniMax H3 AV Latent Cache:

The SaveMiniMaxH3AVLatentCache node is designed to efficiently store the latent representations of video and audio streams generated by ComfyUI's MiniMax-H3 model. This node allows you to save these latent representations without decoding them, enabling deferred processing and reducing computational overhead. By storing the latent data in a compact format, you can later decode it using a VAE (Variational Autoencoder) when needed, which is particularly useful for workflows that require batch processing or delayed rendering. This approach not only optimizes storage but also enhances the flexibility of handling complex multimedia data, making it an essential tool for AI artists working with video and audio synthesis.

Save MiniMax H3 AV Latent Cache Input Parameters:

samples

The samples parameter represents the latent data that you wish to save. This data is typically generated by the MiniMax-H3 model and consists of nested tensors that encapsulate both video and audio streams. The latent data is crucial for preserving the fidelity of the original content while allowing for efficient storage and later retrieval. There are no specific minimum or maximum values for this parameter, as it depends on the output of the model.

cache_path

The cache_path parameter specifies the file path where the latent data will be saved. By default, it is set to "/tmp/minimax_h3_av.safetensors", but you can customize this path to suit your storage preferences. This parameter is essential for determining the location of the saved file, and it should be a valid string representing a writable path on your system. Ensure that the specified path has sufficient storage space and write permissions to avoid errors during the saving process.

Save MiniMax H3 AV Latent Cache Output Parameters:

samples

The samples output parameter returns the same latent data that was input into the node. This allows for seamless integration into subsequent nodes or processes within your workflow. By providing the latent data as output, you can easily chain multiple operations or save additional copies if needed. The output retains the structure and content of the input, ensuring consistency and reliability in your data processing pipeline.

Save MiniMax H3 AV Latent Cache Usage Tips:

  • Ensure that the cache_path is set to a directory with sufficient storage space and appropriate permissions to prevent write errors.
  • Use this node in conjunction with the LoadMiniMaxH3AVLatentCache node to efficiently manage and retrieve latent data for deferred processing.
  • Consider organizing your cache files with descriptive names or timestamps to easily identify and manage multiple saved latents.

Save MiniMax H3 AV Latent Cache Common Errors and Solutions:

"invalid MiniMax-H3 AV latent cache: <path>"

  • Explanation: This error occurs when the saved file does not contain the expected video and audio streams, possibly due to corruption or incorrect file format.
  • Solution: Verify that the cache_path is correct and that the file was saved without interruptions. Ensure that the input samples were correctly generated by the MiniMax-H3 model before saving.

"Permission denied: <path>"

  • Explanation: This error indicates that the specified cache_path does not have the necessary write permissions.
  • Solution: Check the file permissions for the directory specified in cache_path and ensure that your application has the necessary rights to write to this location. Adjust permissions or choose a different path if needed.

Save MiniMax H3 AV Latent Cache Related Nodes

Go back to the extension to check out more related nodes.
Spark-H3
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RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

Save MiniMax H3 AV Latent Cache