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fix bugs
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@@ -47,6 +47,5 @@ class Annotator:
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detect_resolution = self.detect_resolution if self.detect_resolution is not None else min(width, height)
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image = self.processor(image, detect_resolution=detect_resolution, image_resolution=min(width, height), **kwargs)
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image = image.resize((width, height))
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image.save("/mnt/zhongjie/DiffSynth-Studio-kolors/DiffSynth-Studio/input.jpg")
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return image
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@@ -13,6 +13,12 @@ Image Examples of fine-tuned LoRA. The prompt is "一只小狗蹦蹦跳跳,周
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|Without LoRA||||
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|With LoRA||||
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## Install additional packages
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```
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pip install peft lightning
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```
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## Prepare your dataset
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We provide an example dataset [here](https://modelscope.cn/datasets/buptwq/lora-stable-diffusion-finetune/files). You need to manage the training images as follows:
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