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WaveCut
/
MiniMax-H3-Image-OrbitQuant-W4A8

Text-to-Image
Diffusers
Safetensors
MiniMax H3
English
orbitquant
w4a8
4-bit precision
gptq
quantized
image-editing
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WaveCut/MiniMax-H3-Image-OrbitQuant-W4A8", 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
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
MiniMax-H3-Image-OrbitQuant-W4A8 / assets
6.84 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
WaveCut's picture
WaveCut
Card: chart labels clear of the 32 GB line, BF16 offload run count, text encoder source, VAE pixel share, transformer files
e1297eb verified about 3 hours ago
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    Card: chart labels clear of the 32 GB line, BF16 offload run count, text encoder source, VAE pixel share, transformer files about 3 hours ago
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    Add the loader, configs, model card and checksums about 8 hours ago