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BeQuiet94
/
trained-sd3-5-lora_c

Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Community

Instructions to use BeQuiet94/trained-sd3-5-lora_c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use BeQuiet94/trained-sd3-5-lora_c with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("BeQuiet94/trained-sd3-5-lora_c")
    
    prompt = "The Word Love who a dolphine jumps through the o in style of lazypod1"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
trained-sd3-5-lora_c
65.3 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
BeQuiet94's picture
BeQuiet94
End of training
a59525d verified over 1 year ago
  • checkpoint-1000
    End of training over 1 year ago
  • checkpoint-500
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  • .gitattributes
    1.57 kB
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  • README.md
    3.18 kB
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  • image_0.png
    719 kB
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  • image_1.png
    840 kB
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  • image_2.png
    1.14 MB
    xet
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  • image_3.png
    720 kB
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  • pytorch_lora_weights.safetensors
    4.74 MB
    xet
    End of training over 1 year ago