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VAEDecodeHunyuan3D
Category: latent/3d
Description
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
The VAEDecodeHunyuan3D node converts latent representations into 3D voxel data using a VAE decoder. It processes the latent samples through the VAE model with configurable chunking and resolution settings to generate volumetric data suitable for 3D applications.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
samples |
LATENT | Yes | - | The latent representation to be decoded into 3D voxel data |
vae |
VAE | Yes | - | The VAE model used for decoding the latent samples |
num_chunks |
INT | Yes | 1000-500000 | The number of chunks to split the processing into for memory management (default: 8000) |
octree_resolution |
INT | Yes | 16-512 | The resolution of the octree structure used for 3D voxel generation (default: 256) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
voxels |
VOXEL | The generated 3D voxel data from the decoded latent representation |
Source: comfy_extras/nodes_hunyuan3d.py
Used in 4 template(s)