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Johnhex
/
Clam

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

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

  • Libraries
  • Diffusers

    How to use Johnhex/Clam with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Johnhex/Clam", 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
Clam
36.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
Johnhex's picture
Johnhex
Update README.md
98861f3 almost 3 years ago
  • Images
    add examples about 3 years ago
  • Samples
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  • 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
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  • Clam-latest.ckpt

    Detected Pickle imports (4)

    • "torch.DoubleStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    9.11 GB
    xet
    Upload Clam-latest.ckpt about 3 years ago
  • Clam-pruned-fp16.safetensors
    2.13 GB
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  • Clam-pruned.safetensors
    4.27 GB
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  • Clam_with_vae.safetensors
    9.11 GB
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  • Clam_with_vae_fp16.safetensors
    5.96 GB
    xet
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  • README.md
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  • cfg.yaml
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  • model_index.json
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