deAPI-ai/minimax-h3-33b-int8

MiniMax-H3 33B INT8 — joint video + stereo audio bundle

A single, self-contained checkpoint set for MiniMax-H3: a 33B DiT that emits video and 32 kHz stereo audio from one forward pass, so the result always carries a synchronized audio track. Text-to-video and image-to-video, 24 fps, 4–15 s clips, 768p default.

This bundle pairs the INT8 + ConvRot pruned DiT with the NVFP4/AWQ text encoder, both VAEs, the text-encoder configs/tokenizer, and the community Turbo LoRA for short-schedule sampling — ~41 GB total instead of the ~385 GB of the full upstream release. Everything resolves locally from this directory; nothing is downloaded at runtime.

Credits

Original model	MiniMax — MiniMax-H3, 33B joint video + audio
Pruning, quantization and repack	Comfy-Org — the pruned INT8+ConvRot DiT and the NVFP4/AWQ text encoder in this repository are their consumer repack of MiniMax-H3, prepared for ComfyUI
Turbo LoRA and silu(t_emb) grid	larryvrh — 4–8 step distill, plus the ComfyUI-MiniMax-H3-Turbo node it ships with

deAPI-ai did not train or quantize any of these weights; this repository only collects them into one directory laid out the way the original MiniMax-H3 release names its folders.

Contents

Path	Component	Size	Format
diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors	H3 DiT, first/last-frame → video+audio	20.9 GB	pruned (rank-8 AdaLN), INT8 + ConvRot
text_encoder/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors	Qwen3-VL-32B text/vision encoder	15.7 GB	NVFP4, AWQ
text_encoder/*.json, merges.txt, vocab.json	encoder config + tokenizer + preprocessors	11 MB	—
vae/minimax_h3_video_vae_fp16.safetensors	video VAE	5.2 GB	fp16
vae/minimax_h3_audio_vae_fp32.safetensors	audio VAE (32 kHz stereo)	605 MB	fp32
loras/minimax_h3_turbo_v4_step600_ema.safetensors	Turbo LoRA, 4–8 step distill	780 MB	bf16, rank 64 / 16
loras/h3_silu_temb_grid.safetensors	silu(t_emb) grid, restores the time conditioning the pruned DiT drops	5.5 MB	—

Directory naming. Folders follow the original MiniMaxAI/MiniMax-H3 layout, so the encoder lives in text_encoder (singular) — Comfy-Org's repack spells it text_encoders. Unlike that repack, the encoder's configs and tokenizer sit in the same directory as its weights, so the folder loads on its own.

Notes on the components

• Pruned DiT. The pruned variant replaces the full-width AdaLN branch with a rank-8 curve. That is what makes 33B fit in consumer VRAM, and it is also why h3_silu_temb_grid.safetensors is shipped next to the Turbo LoRA: the LoRA's AdaLN factors expect the 2688-dim silu(t_emb) that pruning removed.
• INT8 + ConvRot stores the weights in a rotated basis. It is the quality-preferred variant of the repack and expects a PyTorch build with CUDA 13.0; the fp8_scaled upstream variant exists for setups that cannot use it.
• Sampling. The base checkpoint is a 50-step model. With the Turbo LoRA at strength 1.0 the useful range is 4–8 steps (6–8 looks best), per the LoRA author.
• Footprint. ~41 GB of weights; a machine needs ≥64 GB system RAM, and 768p generation peaks around 18–30 GiB VRAM depending on clip length.

Licenses

This is a bundle of independently-licensed components. Each keeps its own license:

Component	Source	License
H3 DiT, VAEs, text encoder, tokenizer/configs	MiniMaxAI/MiniMax-H3	MiniMax H3 Community License Agreement
INT8+ConvRot / NVFP4 quantized repack of the above	Comfy-Org/MiniMax-H3	MiniMax H3 Community License Agreement
Text encoder architecture / base weights	Qwen3-VL-32B (as shipped inside MiniMax-H3)	Apache-2.0 upstream; redistributed here under the H3 agreement
Turbo LoRA	larryvrh/MiniMax-H3-Turbo-Lora	Apache-2.0
silu(t_emb) grid	larryvrh/ComfyUI-MiniMax-H3-Turbo	Apache-2.0

NOTICE

MiniMax H3 is licensed under the MiniMax H3 Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.

Modified files. The DiT and text-encoder weights in this repository are not the original files: they are pruned and quantized derivatives (INT8+ConvRot and NVFP4/AWQ) produced by Comfy-Org, re-laid-out here into the original repository's directory structure. The VAEs are format conversions of the originals.

Before you use these weights, read the MiniMax H3 Community License Agreement. It is not an open-source license: it limits the applicable territory, carries an acceptable-use policy, requires the "MiniMax H3" mark to be displayed on commercial products built with it, and requires separate written authorization from MiniMax for products generating over 20 million USD in yearly revenue.

The bundle is made available by deAPI-ai on Hugging Face, configured for integration with GamerHash AI's platform. All credit for the underlying models belongs to their respective creators listed above.

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