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TE2G
/
cache-coeur

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

Instructions to use TE2G/cache-coeur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TE2G/cache-coeur 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("TE2G/cache-coeur")
    
    prompt = "A photo of cache-coeur knit pullover on a mannequin or torso"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
cache-coeur
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  • 1 contributor
History: 2 commits
TE2G's picture
TE2G
End of training
2e19c45 verified almost 2 years ago
  • checkpoint-1000
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  • checkpoint-1500
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  • checkpoint-2000
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  • checkpoint-500
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  • .gitattributes
    1.71 kB
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  • README.md
    3.12 kB
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  • image_0.png
    2.1 MB
    xet
    End of training almost 2 years ago
  • image_1.png
    1.66 MB
    xet
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  • image_2.png
    1.63 MB
    xet
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  • image_3.png
    1.91 MB
    xet
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  • pytorch_lora_weights.safetensors
    4.74 MB
    xet
    End of training almost 2 years ago