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future-technologies
/
Floral-High-Dynamic-Range

Text-to-Image
Diffusers
Safetensors
FluxPipeline
Model card Files Files and versions
xet
Community

Instructions to use future-technologies/Floral-High-Dynamic-Range with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use future-technologies/Floral-High-Dynamic-Range with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("future-technologies/Floral-High-Dynamic-Range", 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
Floral-High-Dynamic-Range
58 GB
Ctrl+K
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  • 5 contributors
History: 119 commits
Ujjawal Tyagi
Delete README.md
6b63564 verified about 1 year ago
  • scheduler
    Rename scheduler/config.json to scheduler/scheduler_config.json over 1 year ago
  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • transformer
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  • vae
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  • .gitattributes
    2.04 kB
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  • LICENSE.md
    6.87 kB
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  • ae.safetensors
    335 MB
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  • floral-hdr-generation-output-example.png
    5.58 MB
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  • floral-hdr-generation-output-example2.png
    5.66 MB
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  • floral-hdr-generation-output-example3.png
    5.57 MB
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  • floral-hdr-generation-output-example4.png
    5.54 MB
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  • floral-hdr-generation-output-example5.png
    5.56 MB
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  • model.safetensors
    23.8 GB
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  • model_index.json
    535 Bytes
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