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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
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  • DiffusionBee
SD1.5_distilled_attentionlayer / text_encoder
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  • 1 contributor
History: 1 commit
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ankush10010
Upload text_encoder folder
0477951 verified about 1 year ago
  • config.json
    560 Bytes
    Upload text_encoder folder about 1 year ago
  • model.safetensors
    246 MB
    LFS
    Upload text_encoder folder about 1 year ago