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@@ -25,18 +25,18 @@ To enhance performance and tailor the model to specific use cases, SDXL is fine-
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  <p style="font-family: Lucida Sans ;font-size:15px;">The CelebA dataset is a widely-used, large-scale dataset in the field of computer vision, particularly for tasks related to faces. It consists of over 200,000 celebrity face images annotated with a rich set of attributes. The dataset offers diverse visual content with variations in pose, facial expressions, and backgrounds, making it suitable for a range of face-related applications.</p>
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  <!-- ![img_0](./image_10.png)
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  ![img_1](./image_11.png)
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  ![img_2](./image_21.png)
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  ![img_3](./image_31.png)
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- <!-- LoRA for the text encoder was enabled: False. -->
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- Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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- ## Intended uses & limitations
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  #### How to use
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  <p style="font-family: Lucida Sans ;font-size:15px;">The CelebA dataset is a widely-used, large-scale dataset in the field of computer vision, particularly for tasks related to faces. It consists of over 200,000 celebrity face images annotated with a rich set of attributes. The dataset offers diverse visual content with variations in pose, facial expressions, and backgrounds, making it suitable for a range of face-related applications.</p>
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+ <strong>Here are few examples of generated images Using Pre-Trained Stable Diffusion SDXL:</strong>
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  <!-- ![img_0](./image_10.png)
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  ![img_1](./image_11.png)
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  ![img_2](./image_21.png)
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  ![img_3](./image_31.png)
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  -->
 
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  #### How to use
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