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license: creativeml-openrail-m |
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tags: |
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- stable-diffusion |
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- text-to-image |
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--- |
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The embeddings in this repository were trained for the 768px [Stable Diffusion v2.0](https://huggingface.co./stabilityai/stable-diffusion-2) model. |
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**Knollingcase v1**: |
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The v1 embeddings were trained for 4000 iterations with a batch size of 2 and a text dropout of 10%, using Automatic1111's WebUI. A total of 69 training images were used. |
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**Knollingcase v2**: |
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The v3 embeddings were trained for 5000 iterations with a batch size of 4 and a text dropout of 10%, using Automatic1111's WebUI. A total of 78 training images were used. |
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**Knollingcase v3**: |
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The v3 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 86 training images were used. |
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**Knollingcase v4**: |
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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 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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