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Hackenbacker
/
Bdan

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

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

  • Libraries
  • Diffusers

    How to use Hackenbacker/Bdan with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Hackenbacker/Bdan", 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
Bdan
8.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
Hackenbacker's picture
Hackenbacker
Update README.md
5a6198b about 3 years ago
  • feature_extractor
    Upload feature_extractor with huggingface_hub about 3 years ago
  • safety_checker
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  • scheduler
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  • text_encoder
    Upload text_encoder with huggingface_hub about 3 years ago
  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    474 Bytes
    Update README.md about 3 years ago
  • bdan.ckpt

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.13 GB
    xet
    Upload the concept Hackenbacker/g embeds and token about 3 years ago
  • model_index.json
    543 Bytes
    Upload model_index.json with huggingface_hub about 3 years ago