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The latent upscaler (radiance 1.8.1): card, licences, recipe
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MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.
FastVideo-FastH3-8-Step-V2 is a modified MiniMax H3 model from the FastVideo team.
The transformer/*.safetensors files contain the DMD2-distilled, VSA-H3 student
at training step 1300, not the original MiniMax H3 transformer weights.
The accompanying transformer configuration and index describe that student.
The scheduler configurations and fastvideo_inference.json describe its trained
eight-forward schedule, video/audio shifts 10/3, and 80% tile-64 VSA policy.
The modular model index, model card, and release/provenance documentation were
prepared by FastVideo for this derivative.
The bundled text encoder, tokenizer, processor, video VAE and audio VAE weights
are unmodified MiniMax H3 components. The Qwen3-VL encoder is licensed under
Apache License 2.0; a copy is included as LICENSE-Qwen3-VL.
Source: https://github.com/QwenLM/Qwen3-VL
The model license is provided in LICENSE. These notices do not replace or
modify its terms.
---
fasth3-8-step-v2-fp8.rad is a modified copy of FastVideo-FastH3-8-Step-V2
(FastVideo/FastVideo-FastH3-8-Step-V2), converted for the radiance inference
engine: the linears of the text encoder, the token refiner and the DiT and the
modulation projections are re-encoded as FP8 E4M3 with a bf16 scale per
128 x 128 block, the video decoder's linears are cast from f32 to bf16, the
audio decoder's weight norms are folded, the text encoder's last 14 layers (not
read by the model) are left out, and the result is repacked into one .rad
container. minimax-h3-fp8.recipe lists the rules applied.
The latent upscaler is Minimax_h3_latent_Upscaler v1 by LBH-123-AI
(https://huggingface.co/LBH-123-AI/Minimax_h3_latent_Upscaler), licensed under
the Apache License 2.0; a copy is included as LICENSE-latent-upscaler. Its
weights are included as published (bf16), its embedding MLP cast to f32.