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VHKE
/
flat-flippflop

Text-to-Image
Diffusers
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community

Instructions to use VHKE/flat-flippflop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use VHKE/flat-flippflop with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("VHKE/flat-flippflop")
    
    prompt = "flat flpflop"
    image = pipe(prompt).images[0]
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flat-flippflop / sample
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  • 1 contributor
History: 1 commit
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VHKE
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