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noctuashap
/
MiniMax-H3-pruned-r16

Text-to-Video
Diffusers
Safetensors
MiniMax H3
video-generation
fastvideo
Model card Files Files and versions
xet
Community

Instructions to use noctuashap/MiniMax-H3-pruned-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use noctuashap/MiniMax-H3-pruned-r16 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("noctuashap/MiniMax-H3-pruned-r16", 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-pruned-r16
159 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
noctuashap's picture
noctuashap
Rewrite README in prose
ce860fd verified 15 days ago
  • audio_scheduler
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  • audio_vae
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  • processor
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • transformer_ref
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  • vae
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  • .gitattributes
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    initial commit 15 days ago
  • LICENSE
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  • README.md
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  • modular_model_index.json
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