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docs/source_en/tutorial/PromptProcessing.md

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+# Prompt Processing
+
+DiffSynth includes prompt processing functionality, which is divided into:
+
+- **Prompt Refiners (`prompt_refiner_classes`)**: Includes prompt refinement, prompt translation from Chinese to English, and both refinement and translation of prompts. Available parameters are as follows:
+
+    - **English Prompt Refinement**: 'BeautifulPrompt', using the model [pai-bloom-1b1-text2prompt-sd](https://modelscope.cn/models/AI-ModelScope/pai-bloom-1b1-text2prompt-sd).
+
+    - **Prompt Translation from Chinese to English**: 'Translator', using the model [opus-mt-zh-e](https://modelscope.cn/models/moxying/opus-mt-zh-en).
+
+    - **Prompt Translation and Refinement**: 'QwenPrompt', using the model [Qwen2-1.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2-1.5B-Instruct).
+
+- **Prompt Extenders (`prompt_extender_classes`)**: Based on Omost's prompt partition control expansion. Available parameter is:
+
+    - **Prompt Partition Expansion**: 'OmostPromter'.
+
+## Usage Instructions
+
+### Prompt Refiners
+
+When loading the model pipeline, you can specify the desired prompt refiner functionality using the `prompt_refiner_classes` parameter. For example code, refer to [sd_prompt_refining.py](examples/image_synthesis/sd_prompt_refining.py).
+
+Available `prompt_refiner_classes` parameters include: Translator, BeautifulPrompt, QwenPrompt.
+
+```python
+pipe = SDXLImagePipeline.from_model_manager(model_manager, prompt_refiner_classes=[Translator, BeautifulPrompt])
+```
+
+### Prompt Extenders
+
+When loading the model pipeline, you can specify the desired prompt extender using the `prompt_extender_classes` parameter. For example code, refer to [omost_flux_text_to_image.py](examples/image_synthesis/omost_flux_text_to_image.py).
+
+```python
+pipe = FluxImagePipeline.from_model_manager(model_manager, prompt_extender_classes=[OmostPromter])
+```