This GGUF file is a direct conversion of Wan-AI/Wan2.2-T2V-A14B Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. Usage The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96 Place model files in ComfyUI/models/unet see the GitHub readme for further installation instructions.
MiniMax-H3-LightVAE is an open-weight model for text to video from Corechan, released under other. Its published files total 7.0 GB.
A converted copy of the light video VAE decoder of LynnReal-Omni (LynnReal-AI), made for the MiniMax H3 WebUI on Google Colab. It decodes ordinary MiniMax H3 latents with 26 transformer blocks instead of 36.
Parameters—
Context—
Weights3.5 GB
Licenseother
AccessOpen weights
Monthly Downloads—
Model Card
A converted copy of the light video VAE decoder of LynnReal-Omni (LynnReal-AI), made for the MiniMax H3 WebUI on Google Colab. It decodes ordinary MiniMax H3 latents with 26 transformer blocks instead of 36. Unofficial — not affiliated with, endorsed by, or supported by MiniMax or LynnReal-AI. The encoder, latent space and temporal structure are those of the official MiniMax H3 VAE; only the decoder differs. Take the encoder (and the audio VAE) from the official repository. diffusers — load the official AutoencoderKLMiniMaxH3, keep the first 26 entries of vae.decoder.transformerblocks, then load this file: TensorRT — compile the ONNX file with a fixed input profile 1×24×7×16×16 (FP16), then…
Excerpt from the card by Corechan, licensed other.
Identity and Version
- Repository
- corechan/MiniMax-H3-LightVAE
- Publisher
- Corechan
- Task
- Text to video
- Modality
- Video
- Library
- minimax-h3
- Parameters
- Not stated by the source
- Languages
- vae
- Revision
- 84081676120e276393ef6eb4c62a5b6cb5320ca8
- First published
- 2026-10-01
- Last updated
- 2026-10-01
Files and Weights
8 files, 7.0 GB in total. The weights are 2 files totalling 3.5 GB in onnx, safetensors.
Weights2 files · 3.5 GB
Documentation3 files · 25.1 KB
Other1 file · 3.5 GB
Repository2 files · 2.3 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| lynnreal_light_vae_decoder.onnx | Weights | 1.3 MB | 1e9783cf980b |
| lynnreal_light_vae_decoder_fp16.safetensors | Weights | 3.5 GB | 1aac28a2170c |
| LICENSE | Documentation | 17.6 KB | — |
| NOTICE | Documentation | 952 B | — |
| README.md | Documentation | 6.6 KB | — |
| lynnreal_light_vae_decoder.onnx.data | Other | 3.5 GB | 636ef79d26d3 |
| .complete | Repository | 745 B | — |
| .gitattributes | Repository | 1.6 KB | — |
License and Download
- License
- other
- Access
- Open weights, no gate
- Download size
- 3.5 GB
Download from Corechan
Released by Corechan through its official repository on Hugging Face.
Built From
- Derived from stdstu123/LynnReal-Onmi-beta-0.1
- Quantized from stdstu123/LynnReal-Onmi-beta-0.1
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 3.5 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About MiniMax-H3-LightVAE
What license is MiniMax-H3-LightVAE released under?
other, as its publisher declares it. Read the license text before commercial use.
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