Save 4 hours! We auto-setup your workflow! Free!

Drop your workflow.json — we handle every dependency, custom node, and model. Just open the link and run.

Auto-Setup Workflow Json (Free) Now!
ComfyUI > Nodes > ComfyUI-H3-X2-Stream > H3 X2 Prepare INT8 VAE

ComfyUI Node: H3 X2 Prepare INT8 VAE

Class Name

H3X2PrepareINT8VAE

Category
H3 X2 Stream
Author
sepiablue-ai (Account age: 453days)
Extension
ComfyUI-H3-X2-Stream
Latest Updated
2026-10-22
Github Stars
0.04K

How to Install ComfyUI-H3-X2-Stream

Install this extension via the ComfyUI Manager by searching for ComfyUI-H3-X2-Stream
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-H3-X2-Stream 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.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

H3 X2 Prepare INT8 VAE Description

Facilitates preparation of INT8-optimized VAE for H3 X2 streaming, ensuring efficient reuse and integration with X2 decode node.

H3 X2 Prepare INT8 VAE:

The H3X2PrepareINT8VAE node is designed to facilitate the preparation of an INT8-optimized Variational Autoencoder (VAE) specifically for the H3 X2 streaming process. This node's primary function is to convert and prepare the official X2 Detail v1 VAE model for efficient reuse, ensuring that it is ready for integration with the X2 decode node. By doing so, it eliminates the need for repeated downloads or package installations, streamlining the workflow for AI artists. The node writes the prepared VAE to a designated directory, ensuring that it is easily accessible for subsequent processes. This preparation step is crucial for maintaining the separation between the X2 decode node and the conditioning VAE, thereby optimizing the performance and accuracy of the model during the streaming process.

H3 X2 Prepare INT8 VAE Input Parameters:

source_vae

The source_vae parameter is a required input that specifies the source VAE model to be prepared. It is selected from a list of available VAE filenames, ensuring that the correct model is used for the preparation process. This parameter is crucial as it determines the base model that will be converted and optimized for INT8 usage, directly impacting the quality and efficiency of the output VAE.

output_name

The output_name parameter is a required string input that defines the filename for the prepared VAE model. It must be a valid filename ending with .safetensors, without any directory paths or special characters such as /, \, or :. This parameter is essential for ensuring that the prepared VAE is saved correctly and can be easily retrieved for future use. The output name directly affects the organization and accessibility of the prepared models within the system.

H3 X2 Prepare INT8 VAE Output Parameters:

vae

The vae output is the prepared Variational Autoencoder model, optimized for INT8 usage. This output is crucial for the H3 X2 streaming process, as it provides the necessary model for decoding operations. The prepared VAE ensures efficient processing and high-quality results during the streaming workflow.

conversion_report

The conversion_report output is a string that provides a detailed report of the conversion process. This report includes information about the steps taken during the preparation of the VAE, any issues encountered, and the final status of the conversion. It serves as a valuable resource for understanding the preparation process and verifying the successful completion of the task.

H3 X2 Prepare INT8 VAE Usage Tips:

  • Ensure that the source_vae is correctly selected from the available list to avoid errors during the preparation process.
  • Use a descriptive and valid output_name to easily identify and retrieve the prepared VAE model for future use.

H3 X2 Prepare INT8 VAE Common Errors and Solutions:

"output_name must be a filename ending in .safetensors, without directories."

  • Explanation: This error occurs when the output_name parameter contains invalid characters or directory paths.
  • Solution: Ensure that the output_name is a simple filename ending with .safetensors and does not include any directory paths or special characters.

"Connect the MiniMax H3 X2 video VAE, not the conditioning/audio VAE."

  • Explanation: This error indicates that an incorrect VAE model is being used for the preparation process.
  • Solution: Verify that the correct VAE model, specifically the MiniMax H3 X2 video VAE, is selected as the source_vae for preparation.

H3 X2 Prepare INT8 VAE Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-H3-X2-Stream
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

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.

H3 X2 Prepare INT8 VAE