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nousr
/
sd-v1-5-ema

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
aiart
Model card Files Files and versions
xet
Community
5

Instructions to use nousr/sd-v1-5-ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nousr/sd-v1-5-ema with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nousr/sd-v1-5-ema", 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
sd-v1-5-ema
9.75 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
9f7f6fe about 3 years ago
  • feature_extractor
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  • safety_checker
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.49 kB
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  • README.md
    203 Bytes
    Update README.md over 3 years ago
  • model_index.json
    548 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4) about 3 years ago
  • sd-v1-5-ema.ckpt
    4.27 GB
    xet
    Upload sd-v1-5-ema.ckpt with huggingface_hub over 3 years ago
  • v5.yaml
    1.87 kB
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