Instructions to use corechan/MiniMax-H3-LightVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use corechan/MiniMax-H3-LightVAE with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
How to use corechan/MiniMax-H3-LightVAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("corechan/MiniMax-H3-LightVAE", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download NOTICE from corechan/MiniMax-H3-LightVAE: direct link, hf CLI and curl.
- Browser
- Download file 952 Bytes
-
https://huggingface.co/corechan/MiniMax-H3-LightVAE/resolve/main/NOTICE
- Command line
-
hf download hf://corechan/MiniMax-H3-LightVAE/NOTICE
-
curl -L -o NOTICE https://huggingface.co/corechan/MiniMax-H3-LightVAE/resolve/main/NOTICE
952 Bytes
| MiniMax H3 — light video VAE decoder (diffusers + ONNX) | |
| Repository: corechan/MiniMax-H3-LightVAE | |
| MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, | |
| Copyright © 2026 MiniMax. All Rights Reserved. | |
| Source: the light video VAE decoder of LynnReal-Omni by LynnReal-AI | |
| (https://huggingface.co/stdstu123/LynnReal-Onmi-beta-0.1 , | |
| comfyui/models/vae/lynnreal_omni_light_vae_fp16.safetensors ; | |
| https://github.com/LynnReal-AI/LynnReal-Omni), a distilled derivative of the | |
| MiniMax H3 video VAE decoder, distributed under the MiniMax H3 Community License | |
| Agreement. | |
| Modifications: converted from the ComfyUI key layout to the diffusers layout | |
| (fused to_qkv split into to_q / to_k / to_v), stored in fp16, and one decoding | |
| tile exported to ONNX (RMSNorm rewritten with basic operations). Not retrained | |
| or fine-tuned. | |
| This is an unofficial community upload. It is not affiliated with, endorsed by, | |
| or supported by MiniMax or LynnReal-AI. | |