SDXL LoRA DreamBooth - JawadC/pecoino-wheel
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- Prompt
- Multiple wheels of Pecorino cheese covered in a rustic, peppery rind, tied with string and labeled with a purple and white tag, stacked closely together in a cheese storage room.
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- Prompt
- Multiple wheels of Pecorino cheese covered in a rustic, peppery rind, tied with string and labeled with a purple and white tag, stacked closely together in a cheese storage room.

- Prompt
- Multiple wheels of Pecorino cheese covered in a rustic, peppery rind, tied with string and labeled with a purple and white tag, stacked closely together in a cheese storage room.

- Prompt
- Multiple wheels of Pecorino cheese covered in a rustic, peppery rind, tied with string and labeled with a purple and white tag, stacked closely together in a cheese storage room.
Model description
These are JawadC/pecoino-wheel LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Trigger words
You should use a photo of a wheel of PECORINO cheese to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for JawadC/pecoino-wheel
Base model
stabilityai/stable-diffusion-xl-base-1.0