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ankush10010
/
SD1.5_distilled_attentionlayer

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

Instructions to use ankush10010/SD1.5_distilled_attentionlayer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ankush10010/SD1.5_distilled_attentionlayer with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ankush10010/SD1.5_distilled_attentionlayer", 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 Settings
  • Draw Things
  • DiffusionBee
SD1.5_distilled_attentionlayer
16 GB
Ctrl+K
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  • 1 contributor
History: 12 commits
ankush10010's picture
ankush10010
Update model_index.json
8ea94a3 verified about 1 year ago
  • checkpoint-4000
    Upload checkpoint folder about 1 year ago
  • final_unet
    Upload final_unet folder about 1 year ago
  • scheduler
    Upload scheduler folder about 1 year ago
  • text_encoder
    Upload text_encoder folder about 1 year ago
  • tokenizer
    Upload tokenizer folder about 1 year ago
  • unet
    Upload unet folder about 1 year ago
  • vae
    Upload vae folder about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    216 Bytes
    End of training about 1 year ago
  • model_index.json
    478 Bytes
    Update model_index.json about 1 year ago