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xbesing
/
VITA_Lemon_Tea

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use xbesing/VITA_Lemon_Tea with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("xbesing/VITA_Lemon_Tea")
    
    prompt = "VITA Lemon Tea"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
VITA_Lemon_Tea / checkpoint-500
3.29 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
xbesing's picture
xbesing
End of training
1c7c9fe about 3 years ago
  • pytorch_lora_weights.bin
    3.29 MB
    xet
    End of training about 3 years ago