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JawadC
/
mimolette

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

Instructions to use JawadC/mimolette with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use JawadC/mimolette 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("JawadC/mimolette")
    
    prompt = "A piece of MIMOLETTE cheese sits on a wooden board in warm sunlight."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
mimolette
99 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
JawadC's picture
JawadC
End of training
c985f73 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
    1.86 kB
    End of training almost 2 years ago
  • image_0.png
    1.23 MB
    xet
    End of training almost 2 years ago
  • image_1.png
    1.14 MB
    xet
    End of training almost 2 years ago
  • image_2.png
    1.16 MB
    xet
    End of training almost 2 years ago
  • image_3.png
    1.29 MB
    xet
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training almost 2 years ago