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amd
/
stable-diffusion-1.5_io16_amdgpu

Text-to-Image
Diffusers
ONNX
OnnxStableDiffusionPipeline
Model card Files Files and versions
xet
Community

Instructions to use amd/stable-diffusion-1.5_io16_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use amd/stable-diffusion-1.5_io16_amdgpu with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("amd/stable-diffusion-1.5_io16_amdgpu", 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
stable-diffusion-1.5_io16_amdgpu
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  • 3 contributors
History: 7 commits
ozhang
Update unet model data name to standard
45f8d76 about 1 year ago
  • 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
    Update unet model data name to standard about 1 year ago
  • vae_decoder
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  • vae_encoder
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  • .gitattributes
    1.64 kB
    Update unet model data name to standard about 1 year ago
  • README.md
    2.56 kB
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  • model_index.json
    670 Bytes
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