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radoslavvv
/
coca-cola

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

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

  • Libraries
  • Diffusers

    How to use radoslavvv/coca-cola with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("radoslavvv/coca-cola")
    
    prompt = "A photo of coca cola bottle"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
coca-cola / checkpoint-500
13.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
radoslavvv's picture
radoslavvv
End of training
8e58f2d over 3 years ago
  • custom_checkpoint_0.pkl
    3.29 MB
    xet
    End of training over 3 years ago
  • optimizer.bin
    6.59 MB
    xet
    End of training over 3 years ago
  • pytorch_model.bin
    3.29 MB
    xet
    End of training over 3 years ago
  • random_states_0.pkl
    14.6 kB
    xet
    End of training over 3 years ago
  • scheduler.bin
    563 Bytes
    xet
    End of training over 3 years ago