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fal
/
dreamshaper-xl-lightning-flashpack

Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-diffusers
stable-diffusion-xl
stable-diffusion-xl-lightning
art
artistic
anime
dreamshaper
turbo
lcm
Model card Files Files and versions
xet
Community

Instructions to use fal/dreamshaper-xl-lightning-flashpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use fal/dreamshaper-xl-lightning-flashpack with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fal/dreamshaper-xl-lightning-flashpack", torch_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
dreamshaper-xl-lightning-flashpack
6.94 GB
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  • 1 contributor
History: 4 commits
fal-9000's picture
fal-9000
FlashPack conversion manifest for Lykon/dreamshaper-xl-lightning@561086c22aba3925b1e8803a73857f061635c7c3
790a15f verified 14 days ago
  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
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  • README.md
    1.54 kB
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  • flashpack_conversion.json
    415 Bytes
    FlashPack conversion manifest for Lykon/dreamshaper-xl-lightning@561086c22aba3925b1e8803a73857f061635c7c3 14 days ago
  • model_index.json
    671 Bytes
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