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SeupLio
/
trained-sd3-lora

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

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

  • Libraries
  • Diffusers

    How to use SeupLio/trained-sd3-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("model/stable_diffusion_3_medium_diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("SeupLio/trained-sd3-lora")
    
    prompt = "A photo of sks dog in a bucket"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
trained-sd3-lora
95.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
SeupLio's picture
SeupLio
End of training
02eda03 verified about 1 year ago
  • checkpoint-500
    End of training about 1 year ago
  • logs
    End of training about 1 year ago
  • .gitattributes
    1.71 kB
    End of training about 1 year ago
  • README.md
    2.95 kB
    End of training about 1 year ago
  • image_0.png
    1.35 MB
    xet
    End of training about 1 year ago
  • image_1.png
    1.37 MB
    xet
    End of training about 1 year ago
  • image_2.png
    1.37 MB
    xet
    End of training about 1 year ago
  • image_3.png
    1.24 MB
    xet
    End of training about 1 year ago
  • pytorch_lora_weights.safetensors
    4.74 MB
    xet
    End of training about 1 year ago