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jefsnacker
/
azzy

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 jefsnacker/azzy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jefsnacker/azzy with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jefsnacker/azzy", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "portrait of azzy cat anthro as a dapper bartender with a big, fluffy tail, retro futurism, art deco, detailed, painterly digital art by wlop and cory loftis and delphin enjolras, πŸΏπŸΈπŸ‹, furaffinity, trending on artstation"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
azzy
2.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
jefsnacker's picture
jefsnacker
Add model to competition
d4d5120 over 3 years ago
  • concept_images
    Upload concept_images with huggingface_hub over 3 years ago
  • feature_extractor
    Upload with huggingface_hub over 3 years ago
  • output_images
    rm fake file over 3 years ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    2.04 kB
    upload output images over 3 years ago
  • README.md
    6.15 kB
    Add model to competition over 3 years ago
  • model_index.json
    543 Bytes
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  • token_identifier.txt
    17 Bytes
    Upload the concept azzy embeds and token over 3 years ago