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chayanbhansali
/
clock-tower

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

Instructions to use chayanbhansali/clock-tower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use chayanbhansali/clock-tower with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("chayanbhansali/clock-tower", 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
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  • DiffusionBee
clock-tower
9.8 GB
Ctrl+K
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  • 1 contributor
History: 11 commits
chayanbhansali's picture
chayanbhansali
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d312eb5 almost 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
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    507 Bytes
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  • clock_tower2.ckpt

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.HalfStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    2.13 GB
    xet
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  • model_index.json
    541 Bytes
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