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README.md

@@ -3,9 +3,9 @@ license: apache-2.0
 ---
 # Templates - Meme Panda (FLUX.2-klein-base-4B)
 
-This model is part of the first batch of Diffusion Templates series models open-sourced by [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). It's an Easter egg model capable of generating various meme-style panda head expression images.
+This model is part of the first batch of open-source Diffusion Templates models from [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). It's an Easter egg model capable of generating various meme-style panda head images.
 
-## Demo
+## Demo Results
 
 |Prompt: A meme with a happy expression.|Prompt: A meme with a sleepy expression.|Prompt: A meme with a surprised expression.|
 |-|-|-|
@@ -21,7 +21,7 @@ cd DiffSynth-Studio
 pip install -e .
 ```
 
-* Direct inference (requires 40G GPU memory)
+* Direct inference (requires 40GB GPU memory)
 
 ```python
 from diffsynth.diffusion.template import TemplatePipeline
@@ -77,7 +77,6 @@ from diffsynth.diffusion.template import TemplatePipeline
 from diffsynth.pipelines.flux2_image import Flux2ImagePipeline, ModelConfig
 import torch
 
-```python
 vram_config = {
     "offload_dtype": "disk",
     "offload_device": "disk",
@@ -131,9 +130,9 @@ image = template(
 image.save("image_PandaMeme_surprised.jpg")
 ```
 
-## Training Code
+## 训练代码
 
-After installing DiffSynth-Studio, use the following script to start training. For more information, please refer to the [DiffSynth-Studio Documentation](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/).
+安装 DiffSynth-Studio 后，使用以下脚本可开启训练，更多信息请参考 [DiffSynth-Studio 文档](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/)。
 
 ```shell
 modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "flux2/Template-KleinBase4B-PandaMeme/*" --local_dir ./data/diffsynth_example_dataset