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| license: creativeml-openrail-m |
| tags: |
| - stable-diffusion |
| - text-to-image |
| --- |
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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"> |
| <img src="https://huggingface.co/ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/cruise_ship_on_wave_kc16-v3-6250.png"> |
| </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"> |
| <img src="https://huggingface.co/ProGamerGov/knollingcase-embeddings-sd-v2-0/resolve/main/v4_size_768_t4x11.jpg"> |
| </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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| ``` |
| <concept>, micro-details, photorealism, photorealistic, <kc-vx-iter> |
| photorealistic <concept>, very detailed, scifi case, <kc-vx-iter> |
| <concept>, very detailed, scifi transparent case, <kc-vx-iter> |
| ``` |
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| Suggested negative prompts: |
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| ``` |
| blurry, toy, cartoon, animated, underwater, photoshop |
| ``` |
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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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