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--- |
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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. The embeddings should work on any model that uses SD v2.0 as a base. |
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Currently the kc32-v4-5000.pt & kc16-v4-5000.pt embeddings seem to perform the best. |
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**Knollingcase v1** |
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The v1 embeddings were trained for 4000 iterations with a batch size of 2, a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 69 training images with high quality captions were used. |
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**Knollingcase v2** |
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The v2 embeddings were trained for 5000 iterations with a batch size of 4 and a text dropout of 10%, & 16 vectors using Automatic1111's WebUI. A total of 78 training images with high quality captions 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%, & 16 vectors using Automatic1111's WebUI. A total of 86 training images with high quality captions were used. |
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<div align="center"> |
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<img src="https://huggingface.co./ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/cruise_ship_on_wave_kc16-v3-6250.png"> |
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</div> |
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* [Full Image](https://huggingface.co./ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/cruise_ship_on_wave_kc16-v3-6250.png) |
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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 with high quality captions were used. |
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<div align="center"> |
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<img src="https://huggingface.co./ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/v4_size_768_t4x11.jpg"> |
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</div> |
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* [Full Image](https://huggingface.co./ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/v4_size_768_t4x11.jpg) |
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**Usage** |
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To use the embeddings, download and then rename the files to whatever trigger word you want to use. They were trained with kc8, kc16, kc32, but any trigger word should work. |
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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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Suggested prompts: |
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``` |
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<concept>, micro-details, photorealism, photorealistic, <kc-vx-iter> |
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photorealistic <concept>, very detailed, scifi case, <kc-vx-iter> |
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<concept>, very detailed, scifi transparent case, <kc-vx-iter> |
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``` |
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Suggested negative prompts: |
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``` |
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blurry, toy, cartoon, animated, underwater, photoshop |
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``` |
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Suggested samplers: |
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DPM++ SDE Karras (used for the example images) or DPM++ 2S a Karras |
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