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Explo223
/
beccalora

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

Instructions to use Explo223/beccalora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Explo223/beccalora 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("Explo223/beccalora")
    
    prompt = "Becca"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee

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  • .gitattributes
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  • README.md
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  • beccalora-000004.safetensors
    39.8 MB
    xet
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  • beccalora-000008.safetensors
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    xet
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  • beccalora-000012.safetensors
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    xet
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  • beccalora.safetensors
    39.8 MB
    xet
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  • dataset.toml
    254 Bytes
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  • sample_prompts.txt
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  • train.sh
    1.15 kB
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