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@@ -17,10 +17,10 @@ The model was fine-tuned on the dataset for 15,000 steps using the 'train_text_t
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  Here are some example text prompts and the images they generated:
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  * "Albert Einstein"
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- ![Albert Einstein]("examples/einstein.jpg")
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  * "Mahatma Ghandi"
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- ![Mahatma Ghandi]("examples/ghandi.jpg")
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  * "A man in a purple suit wearing a top hat."
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- ![A man in a purple suit wearing a top hat.]("examples/purplesuit.jpg")
 
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  Here are some example text prompts and the images they generated:
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  * "Albert Einstein"
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+ ![Albert Einstein](examples/einstein.jpg)
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  * "Mahatma Ghandi"
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+ ![Mahatma Ghandi](examples/ghandi.jpg)
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  * "A man in a purple suit wearing a top hat."
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+ ![A man in a purple suit wearing a top hat.](examples/purplesuit.jpg)