Text-to-Video
Diffusers
Safetensors
MiniMax H3
video-generation
quantized
torchao
nvfp4
int8
nf4
bitsandbytes
Instructions to use corechan/MiniMax_H3_Torchao018 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use corechan/MiniMax_H3_Torchao018 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_Torchao018", 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
update manifest
Browse files- h3_upload_manifest.json +23 -0
h3_upload_manifest.json
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{
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"app": "MiniMax-H3 WebUI",
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"source": "memory (save_pretrained from the running session)",
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"uploaded_at": "2026-09-12T11:29:37+0000",
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"layout": "quantized",
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"torchao": "0.18.0",
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"torch": "2.11.0+cu128",
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"components": [
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{
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"name": "transformer",
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"quant": "nvfp4",
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"path_in_repo": "quantized/transformer-nvfp4",
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"bytes": 19888286613
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},
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{
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"name": "transformer_ref",
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"quant": "nvfp4",
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"path_in_repo": "quantized/transformer_ref-nvfp4",
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"bytes": 19888266968
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}
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],
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"note": "セル2の _save_quant_cache() と同じ形式。USE_HF_QUANT_CACHE = True でそのまま読める。⚠️ pickle 形式(torchao 系)は保存時の torchao の版に縛られるので、.complete の torchao と実行環境が一致していること。vae / audio_vae / tokenizer は含まれていない(本家から取る)"
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}
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