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MirageML
/
Tails

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
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1

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

  • Libraries
  • Diffusers

    How to use MirageML/Tails with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MirageML/Tails", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
Tails / tokenizer
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
amankishore's picture
amankishore
Upload tokenizer/vocab.json with huggingface_hub
b3264cf over 3 years ago
  • merges.txt
    525 kB
    Upload tokenizer/merges.txt with huggingface_hub over 3 years ago
  • special_tokens_map.json
    460 Bytes
    Upload tokenizer/special_tokens_map.json with huggingface_hub over 3 years ago
  • tokenizer_config.json
    919 Bytes
    Upload tokenizer/tokenizer_config.json with huggingface_hub over 3 years ago
  • vocab.json
    1.06 MB
    Upload tokenizer/vocab.json with huggingface_hub over 3 years ago