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MHesho
/
noon-diffusion-1-1

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

Instructions to use MHesho/noon-diffusion-1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MHesho/noon-diffusion-1-1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MHesho/noon-diffusion-1-1", 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
noon-diffusion-1-1
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  • 1 contributor
History: 2 commits
MHesho's picture
MHesho
Trained model with more photos
83ea502 over 3 years ago
  • samples
    Trained model with more photos over 3 years ago
  • scheduler
    Trained model with more photos over 3 years ago
  • text_encoder
    Trained model with more photos over 3 years ago
  • tokenizer
    Trained model with more photos over 3 years ago
  • unet
    Trained model with more photos over 3 years ago
  • vae
    Trained model with more photos over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • args.json
    1.63 kB
    Trained model with more photos over 3 years ago
  • model_index.json
    416 Bytes
    Trained model with more photos over 3 years ago