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Multi-identifier_LORA_Model

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@@ -45,4 +45,8 @@ Trained with Kohya_SS stable diffusion trainer Base model was [Anything V3.0 ful
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  * unet_lr: 0.0001 and 6 epoch,
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  After phase 1, choose the one with the best result (a little bit underfitting, no over fitting, and the two costume are seperated), which is the 6th one. Then trained with 1/10 of the original LR for another 7 epochs.
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  * unet_lr: 0.0001 and 6 epoch,
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  After phase 1, choose the one with the best result (a little bit underfitting, no over fitting, and the two costume are seperated), which is the 6th one. Then trained with 1/10 of the original LR for another 7 epochs.
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+ ### Result
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+ ![sample1](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9573a553-c456-4c36-c029-f2955fe52800/width=800)
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+ ![sample2](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c7709515-4537-4501-fe87-296734995700/width=800)
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+ ![sample3](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/38d47c4a-6ba5-4925-5a56-e8701856a100/width=\640) ![sample4](https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b60aa7f4-6f63-46fb-381f-05b11f4afe00/width=640)
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