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s3nh
/
artwork-arcane-stable-diffusion

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

Instructions to use s3nh/artwork-arcane-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use s3nh/artwork-arcane-stable-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("s3nh/artwork-arcane-stable-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
artwork-arcane-stable-diffusion
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  • 3 contributors
History: 10 commits
s3nh's picture
s3nh
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
a30ea0a about 3 years ago
  • feature_extractor
    Upload with huggingface_hub (#1) over 3 years ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
    Add `scale_factor` to vae config. (#3) over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
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  • args.json
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  • model.ckpt
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    xet
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  • model_index.json
    460 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4) about 3 years ago
  • rain_forest_1.png
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  • rain_forest_2.png
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  • traffic_jam_1.png
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  • traffic_jam_2.png
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  • traffic_jam_3png
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