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nagolinc
/
sd-dune

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use nagolinc/sd-dune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nagolinc/sd-dune with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nagolinc/sd-dune", 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
sd-dune
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  • 2 contributors
History: 9 commits
nagolinc's picture
nagolinc
Update README.md
698677a verified about 2 years ago
  • feature_extractor
    add model over 3 years ago
  • images
    Upload 2 files about 2 years ago
  • logs
    add model over 3 years ago
  • safety_checker
    add model over 3 years ago
  • scheduler
    add model over 3 years ago
  • text_encoder
    add model over 3 years ago
  • tokenizer
    add model over 3 years ago
  • unet
    Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1) over 3 years ago
  • vae
    add model over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    1.31 kB
    Update README.md about 2 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4) about 3 years ago