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上一次上传到docs文件夹中了，修改一下

docs/source_en/creating/AdaptersForImageSynthesis.md

@@ -1,6 +1,6 @@
 # ControlNet、LoRA、IP-Adapter——Precision Control Technology
 
-Based on the VinVL model, various adapter-based models can be used to control the generation process.
+Based on the text-to-images model, various adapter-based models can be used to control the generation process.
 
 Let's download the models we'll be using in the upcoming examples:
 

docs/source_en/creating/PromptRefine.md

@@ -4,7 +4,7 @@ When generating images, we need to write prompt words to describe the content of
 
 ## Translation
 
-Most text-to-image models currently only support English prompt words, which can be challenging for users who are not native English speakers. To address this, we can use open-source translation models to translate the prompt words into English. In the following example, we take "一个女孩" (a girl) as the prompt word and use the model opus-mt-zh-en for translation(which can be downloaded from [HuggingFace](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) or [ModelScope](https://modelscope.cn/models/moxying/opus-mt-zh-en)).
+Most text-to-image models currently only support English prompt words, which can be challenging for users who are not native English speakers. To address this, we can use open-source translation models to translate the prompt words into English. In the following example, we take "一个女孩" (a girl) as the prompt word and use the model opus-mt-zh-en (which can be downloaded from [HuggingFace](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) or [ModelScope](https://modelscope.cn/models/moxying/opus-mt-zh-en)) for translation.
 ```python
 from diffsynth import ModelManager, SDXLImagePipeline, Translator
 import torch