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ckpt
/
SDHK

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

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

  • Libraries
  • Diffusers

    How to use ckpt/SDHK with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ckpt/SDHK", 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
SDHK
18.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
camenduru's picture
camenduru
thanks to 852wa ❤
9c70a90 over 2 years ago
  • feature_extractor
    thanks to 852wa ❤ over 2 years ago
  • safety_checker
    thanks to 852wa ❤ over 2 years ago
  • scheduler
    thanks to 852wa ❤ over 2 years ago
  • text_encoder
    thanks to 852wa ❤ over 2 years ago
  • tokenizer
    thanks to 852wa ❤ over 2 years ago
  • unet
    thanks to 852wa ❤ over 2 years ago
  • vae
    thanks to 852wa ❤ over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • SDHK04.safetensors
    2.13 GB
    xet
    thanks to 852wa ❤ over 2 years ago
  • model_index.json
    584 Bytes
    thanks to 852wa ❤ over 2 years ago