Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

MHesho
/
noon-diffusion

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Diffusers

    How to use MHesho/noon-diffusion 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", 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
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
00abb0c about 3 years ago
  • feature_extractor
    Uploaded version 1 over 3 years ago
  • samples
    Uploaded version 1 over 3 years ago
  • scheduler
    Update scheduler/scheduler_config.json over 3 years ago
  • text_encoder
    Uploaded version 1 over 3 years ago
  • tokenizer
    Uploaded version 1 over 3 years ago
  • unet
    Changed "sample_size" to 64 over 3 years ago
  • vae
    Uploaded version 1 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    0 Bytes
    Added blank Readme over 3 years ago
  • args.json
    1.66 kB
    Uploaded version 1 over 3 years ago
  • model_index.json
    460 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. about 3 years ago