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memj
/
trained-sd3-lora

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

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

  • Libraries
  • Diffusers

    How to use memj/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("memj/trained-sd3-lora", dtype=torch.bfloat16, device_map="cuda")
    
    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
24.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
memj's picture
memj
End of training
eeaa86b verified almost 2 years ago
  • checkpoint-500
    End of training almost 2 years ago
  • .gitattributes
    1.71 kB
    End of training almost 2 years ago
  • README.md
    1.73 kB
    End of training almost 2 years ago
  • image_0.png
    1.27 MB
    xet
    End of training almost 2 years ago
  • image_1.png
    1.37 MB
    xet
    End of training almost 2 years ago
  • image_2.png
    1.15 MB
    xet
    End of training almost 2 years ago
  • image_3.png
    1.51 MB
    xet
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    4.74 MB
    xet
    End of training almost 2 years ago