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acvlab
/
FantasyID

Diffusers
ONNX
Safetensors
English
FantasyIDPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use acvlab/FantasyID with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("acvlab/FantasyID", 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
FantasyID
24.8 GB
Ctrl+K
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  • 2 contributors
History: 4 commits
wangqiang9's picture
wangqiang9
Update README.md
e37a3c8 verified about 1 year ago
  • face_encoder
    Release models. about 1 year ago
  • scheduler
    Release models. about 1 year ago
  • text_encoder
    Release models. about 1 year ago
  • tokenizer
    Release models. about 1 year ago
  • transformer
    Release models. about 1 year ago
  • vae
    Release models. about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    4.22 kB
    Update README.md about 1 year ago
  • configuration.json
    47 Bytes
    Release models. about 1 year ago
  • model_index.json
    335 Bytes
    Release models. about 1 year ago