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EnD-Diffusers
/
Slime_Tutorial

Text-to-Image
Diffusers
TensorBoard
English
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use EnD-Diffusers/Slime_Tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use EnD-Diffusers/Slime_Tutorial with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Slime_Tutorial", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "deetz1"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
Slime_Tutorial / tokenizer
1.59 MB
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  • 1 contributor
History: 1 commit
Duskfallcrew's picture
Duskfallcrew
Upload with huggingface_hub
848de15 over 3 years ago
  • merges.txt
    525 kB
    Upload with huggingface_hub over 3 years ago
  • special_tokens_map.json
    472 Bytes
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  • tokenizer_config.json
    910 Bytes
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  • vocab.json
    1.06 MB
    Upload with huggingface_hub over 3 years ago