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camenduru
/
facechain

Diffusers
ONNX
Model card Files Files and versions
xet
Community
1

Instructions to use camenduru/facechain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use camenduru/facechain with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("camenduru/facechain", 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
facechain / hub /damo
5.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
camenduru's picture
camenduru
thanks to modelscope ❤
ac9ab72 about 3 years ago
  • cv_ddsar_face-detection_iclr23-damofd
    thanks to modelscope ❤ about 3 years ago
  • cv_gpen_image-portrait-enhancement-hires
    thanks to modelscope ❤ about 3 years ago
  • cv_ir101_facerecognition_cfglint
    thanks to modelscope ❤ about 3 years ago
  • cv_ir_face-recognition-ood_rts
    thanks to modelscope ❤ about 3 years ago
  • cv_manual_face-quality-assessment_fqa
    thanks to modelscope ❤ about 3 years ago
  • cv_manual_facial-landmark-confidence_flcm
    thanks to modelscope ❤ about 3 years ago
  • cv_resnet101_image-multiple-human-parsing
    thanks to modelscope ❤ about 3 years ago
  • cv_resnet34_face-attribute-recognition_fairface
    thanks to modelscope ❤ about 3 years ago
  • cv_resnet50_face-detection_retinaface
    thanks to modelscope ❤ about 3 years ago
  • cv_unet-image-face-fusion_damo
    thanks to modelscope ❤ about 3 years ago
  • cv_unet_skin_retouching_torch
    thanks to modelscope ❤ about 3 years ago