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@@ -32,6 +32,8 @@ The v3 embeddings were trained for 4000-6250 iterations with a batch size of 4 a
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  The v4 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 116 training images with high quality captions were used.
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  To use the embeddings, download and then rename the file to whatever trigger word you want to use.
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  The knollingcase style is considered to be a concept inside a sleek (sometimes scifi) display case with transparent walls, and a minimalistic background.
 
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  The v4 embeddings were trained for 4000-6250 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 116 training images with high quality captions were used.
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+ **Usage**
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+
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  To use the embeddings, download and then rename the file to whatever trigger word you want to use.
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  The knollingcase style is considered to be a concept inside a sleek (sometimes scifi) display case with transparent walls, and a minimalistic background.