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Himanshu806
/
FluxHyperRealFill

Diffusers
Safetensors
FluxFillPipeline
Model card Files Files and versions
xet
Community

Instructions to use Himanshu806/FluxHyperRealFill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Himanshu806/FluxHyperRealFill with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Himanshu806/FluxHyperRealFill", 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
FluxHyperRealFill
58.1 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
Himanshu-AT
inital commit
ef9d3e4 about 1 year ago
  • scheduler
    inital commit about 1 year ago
  • text_encoder
    inital commit about 1 year ago
  • text_encoder_2
    inital commit about 1 year ago
  • tokenizer
    inital commit about 1 year ago
  • tokenizer_2
    inital commit about 1 year ago
  • transformer
    inital commit about 1 year ago
  • vae
    inital commit about 1 year ago
  • .gitattributes
    1.57 kB
    inital commit about 1 year ago
  • .gitignore
    7 Bytes
    inital commit about 1 year ago
  • ae.safetensors
    335 MB
    xet
    inital commit about 1 year ago
  • flux1-fill-dev.safetensors
    23.8 GB
    xet
    inital commit about 1 year ago
  • model_index.json
    540 Bytes
    inital commit about 1 year ago