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corechan
/
MiniMax_H3_Torchao018

Text-to-Video
Diffusers
Safetensors
MiniMax H3
video-generation
quantized
torchao
nvfp4
int8
nf4
bitsandbytes
Model card Files Files and versions
xet
Community

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
MiniMax_H3_Torchao018 / quantized
80.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
corechan's picture
corechan
Mark text_encoder-llm-tail complete
e65e83c verified 6 days ago
  • text_encoder-int8
    quantized text_encoder (int8) from memory 23 days ago
  • text_encoder-llm-tail
    Mark text_encoder-llm-tail complete 6 days ago
  • transformer-nvfp4
    quantized transformer (nvfp4) from memory 23 days ago
  • transformer_ref-nvfp4
    quantized transformer_ref (nvfp4) from memory 23 days ago