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nunchaku-ai
/
nunchaku

Text-to-Image
Diffusers
English
image-generation
SVDQuant
Nunchaku
Diffusion
Quantization
ICLR2025
Model card Files Files and versions
xet
Community
8

Instructions to use nunchaku-ai/nunchaku with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nunchaku-ai/nunchaku with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nunchaku-ai/nunchaku", 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

adapter FLUX2 klein

๐Ÿ‘ 4
#8 opened 7 months ago by
TJundx

Please adapt zai-org/GLM-Image

#7 opened 7 months ago by
TJundx

ๅŒ่Š‚ๆฃ็š„่ฝฎๅญๆฑ‚ๅŠฉ

โž• 3
#6 opened 8 months ago by
dblfeng

nunchaku-1.1.0+torch2.8-cp312-cp312-win_amd64.whl

๐Ÿ‘ 2
2
#5 opened 8 months ago by
makisekurisu-jp

Nunchaku 1.0.2 is compatible with transformer<4.57 only but Qwen3 VL only works under transformer 4.57.1 or above

#4 opened 9 months ago by
anitman

please, add 2.9 support

#3 opened 10 months ago by
vvhitevvizard

When will you release nunchaku for wan?

โค๏ธ 5
#2 opened 10 months ago by
Faint6005

no wheel file for torch 2.4

1
#1 opened 12 months ago by
arksam
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