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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 /transformer_ref-nvfp4
19.9 GB
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  • 1 contributor
History: 3 commits
corechan's picture
corechan
quantized transformer_ref (nvfp4) from memory
a0ec429 verified 23 days ago
  • .complete
    118 Bytes
    quantized transformer_ref (nvfp4) from memory 23 days ago
  • config.json
    1.48 kB
    quantized transformer_ref (nvfp4) from memory 23 days ago
  • diffusion_pytorch_model-00001-of-00003.safetensors
    9.87 GB
    xet
    quantized transformer_ref (nvfp4) from memory 23 days ago
  • diffusion_pytorch_model-00002-of-00003.safetensors
    9.96 GB
    xet
    quantized transformer_ref (nvfp4) from memory 23 days ago
  • diffusion_pytorch_model-00003-of-00003.safetensors
    60.8 MB
    xet
    quantized transformer_ref (nvfp4) from memory 23 days ago
  • diffusion_pytorch_model.safetensors.index.json
    376 kB
    quantized transformer_ref (nvfp4) from memory 23 days ago