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saikiranp321
/
trained-sd3-lora

Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Community

Instructions to use saikiranp321/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use saikiranp321/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("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("saikiranp321/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
31 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
saikiranp321's picture
saikiranp321
End of training
7dc3396 verified over 1 year ago
  • checkpoint-500
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  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • text_encoder_3
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  • tokenizer
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  • transformer
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  • .gitattributes
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  • README.md
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  • image_0.png
    1.42 MB
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  • image_1.png
    964 kB
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  • image_2.png
    861 kB
    xet
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  • image_3.png
    1.2 MB
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  • model_index.json
    776 Bytes
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  • pytorch_lora_weights.safetensors
    2.38 MB
    xet
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