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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
80.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
corechan's picture
corechan
Upload 2 files
0a2418e verified 5 days ago
  • quantized
    Mark text_encoder-llm-tail complete 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 23 days ago
  • LICENSE
    17.6 kB
    Upload LICENSE 5 days ago
  • LICENSE-Apache-2.0
    11.4 kB
    Upload 2 files 5 days ago
  • NOTICE
    820 Bytes
    Upload 2 files 5 days ago
  • README.md
    6.49 kB
    Update README.md 5 days ago
  • h3_upload_manifest.json
    1.03 kB
    update manifest 23 days ago