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radames
/
smashed-stabilityai-sd-turbo

Text-to-Image
Diffusers
Safetensors
Pruna AI
StableDiffusionImg2ImgPipeline
Model card Files Files and versions
xet
Community

Instructions to use radames/smashed-stabilityai-sd-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use radames/smashed-stabilityai-sd-turbo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("radames/smashed-stabilityai-sd-turbo", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Pruna AI

    How to use radames/smashed-stabilityai-sd-turbo with Pruna AI:

    from pruna import PrunaModel
    pip install -U diffusers transformers accelerate
    from pruna import PrunaModel
    import torch
    # switch to "mps" for apple devices
    pipe = PrunaModel.from_pretrained("radames/smashed-stabilityai-sd-turbo", 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
smashed-stabilityai-sd-turbo
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  • 1 contributor
History: 4 commits
radames's picture
radames
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
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    initial commit 12 months ago
  • README.md
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  • dtype_info.json
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  • model_index.json
    615 Bytes
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  • smash_config.json
    887 Bytes
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