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no3
/
azura-sd-1.4-beta3

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
3

Instructions to use no3/azura-sd-1.4-beta3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use no3/azura-sd-1.4-beta3 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("no3/azura-sd-1.4-beta3", torch_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 Settings
  • Draw Things
  • DiffusionBee
azura-sd-1.4-beta3
5.48 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
4995b02 about 3 years ago
  • concept_images
    add concept images almost 4 years ago
  • feature_extractor
    frist commit almost 4 years ago
  • safety_checker
    frist commit almost 4 years ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1) over 3 years ago
  • text_encoder
    frist commit almost 4 years ago
  • tokenizer
    frist commit almost 4 years ago
  • unet
    frist commit almost 4 years ago
  • vae
    Add `scale_factor` to vae config. (#2) over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit almost 4 years ago
  • README.md
    1.58 kB
    Update README.md almost 4 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3) about 3 years ago
  • token_identifier.txt
    9 Bytes
    Create token_identifier.txt almost 4 years ago