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@@ -86,7 +86,7 @@ Blaze.1 Portrait is a flux-based adapter designed to generate high-quality, real
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  The model was trained with an overall image count of 1080 images, repeated across variations to create a total dataset of 1100 repetition per image.
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- Training was conducted for 4 epochs per set, resulting in a cumulative total of 38,000 steps.
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  # **Dataset Details**
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  The model was trained with an overall image count of 1080 images, repeated across variations to create a total dataset of 1100 repetition per image.
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+ Training was conducted for 4 epochs per set, resulting in a cumulative total of 38,000 steps, with the image labeler *Florence2-en (natural language & English)*.
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  # **Dataset Details**
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