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markd
/
trained-flux-lora

Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
flux
flux-diffusers
template:sd-lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use markd/trained-flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use markd/trained-flux-lora 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("markd/trained-flux-lora")
    
    prompt = "a photo of sks man"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
trained-flux-lora / logs /dreambooth-flux-dev-lora
173 kB
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  • 1 contributor
History: 1 commit
markd's picture
markd
End of training
5c19614 verified about 2 years ago
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  • events.out.tfevents.1723548593.827889b4ff72.935.0
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    xet
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  • events.out.tfevents.1723549863.827889b4ff72.3365.0
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    End of training about 2 years ago