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pakuschj
/
janbrv170582

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use pakuschj/janbrv170582 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use pakuschj/janbrv170582 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("pakuschj/janbrv170582", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "janbrv170582"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
janbrv170582
Ctrl+K
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  • 2 contributors
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
a6cc10a about 3 years ago
  • concept_images
    Upload concept_images with huggingface_hub over 3 years ago
  • feature_extractor
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  • logs
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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
    1.48 kB
    initial commit over 3 years ago
  • README.md
    3.21 kB
    Upload the model janbrv170582 over 3 years ago
  • model.ckpt
    2.13 GB
    xet
    Upload the model janbrv170582 over 3 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2) about 3 years ago
  • token_identifier.txt
    12 Bytes
    Upload the model janbrv170582 over 3 years ago