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mathpn
/
dreambooth-friendly-otter

Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Model card Files Files and versions
xet
Community
1

Instructions to use mathpn/dreambooth-friendly-otter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mathpn/dreambooth-friendly-otter with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mathpn/dreambooth-friendly-otter", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "an ött3r otter flying over a city at night, neon lights, highly detailed, digital painting, artstation, concept art, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha, cinematic lighting"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth-friendly-otter / tokenizer
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  • 1 contributor
History: 1 commit
mathpn's picture
mathpn
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82a2d41 over 3 years ago
  • merges.txt
    525 kB
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  • special_tokens_map.json
    472 Bytes
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  • tokenizer_config.json
    806 Bytes
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  • vocab.json
    1.06 MB
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