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  ![So cute, right?](https://huggingface.co/nroggendorff/cats/resolve/main/samples/0024.png)
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  - `train_batch_size`: 16
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  - `eval_batch_size`: 16
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  - `num_epochs`: 50
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  - `learning_rate`: 1e-4
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  - `lr_warmup_steps`: 500
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  - `mixed_precision`: "fp16"
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- - `eval_metric`: "mean_squared_error"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ![So cute, right?](https://huggingface.co/nroggendorff/cats/resolve/main/samples/0024.png)
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+ ### Diffusers
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+ ```py
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+ from diffusers import DiffusionPipeline
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+
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+ pipeline = DiffusionPipeline.from_pretrained("nroggendorff/cats")
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+ pipe = pipe.to("cuda")
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+
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+ image = pipe().images[0]
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+
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+ image.save("cat.png")
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+ ```
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+
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+
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+ ### Model Details
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  - `train_batch_size`: 16
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  - `eval_batch_size`: 16
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  - `num_epochs`: 50
 
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  - `learning_rate`: 1e-4
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  - `lr_warmup_steps`: 500
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  - `mixed_precision`: "fp16"
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+ - `eval_metric`: "mean_squared_error"
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+
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+ ### Bias
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+ - This model may exhibit biases due to its training data. It will not display images of abused or sick cats, as it prioritizes the well-being of animals.
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+
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+ ### Limitations
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+
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+ - The model does not achieve perfect photorealism
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+ - The model cannot render legible text
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+ - The model was trained on a medium-to-large-scale dataset
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+ [Cats vs Dogs](https://www.kaggle.com/datasets/shaunthesheep/microsoft-catsvsdogs-dataset/data)
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+
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+ ### Developed by
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+ - Noa Linden Roggendorff
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+
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+ *This model card was written by Noa Roggendorff and is based on the [Stable Diffusion v1-5 Model Card](https://huggingface.co/runwayml/stable-diffusion-v1-5).*