Update README.md

README.md

@@ -21,7 +21,7 @@ This model repo is for [AnyStory](https://github.com/junjiehe96/AnyStory).
 
 </div>
 
-<!-- <img src='assets/examples-sdxl.jpg'>  -->
+<img src='assets/examples-sdxl.jpg'>
 
 AnyStory is a unified approach for personalized subject generation. It not only achieves high-fidelity personalization for single subjects, but also for multiple subjects, without sacrificing subject fidelity.
 
@@ -90,6 +90,7 @@ from storyboard import StoryboardPipeline
 
 storyboard_pipe = StoryboardPipeline()
 
+storyboard_pipe.new_story()
 script_dict = json.load(open("assets/scripts/013420.json"))
 print(script_dict)
 results = storyboard_pipe(script_dict, style_name="Comic book")
@@ -97,6 +98,7 @@ for key, result in results.items():
     result.save(f"output_1_{key}.png")
 
 # 狮子王辛巴成长
+storyboard_pipe.new_story()
 script_dict = json.load(open("assets/scripts/014933.json"))
 print(script_dict)
 results = storyboard_pipe(script_dict, style_name="Japanese Anime")
@@ -106,17 +108,19 @@ for key, result in results.items():
 
 Example output:
 
-<!--<img src='assets/scripts/013420_result.jpg'> -->
-<!--<img src='assets/scripts/014933_result.jpg'> -->
+<img src='assets/scripts/013420_result.jpg'>
+<img src='assets/scripts/014933_result.jpg'>
 
 ## Applications
 
 Intelligent creation of AI story pictures with [Qwen](https://github.com/QwenLM/Qwen3) Agent (please refer to `storyboard.py`)
 
-<!--<img src='assets/storyboard_en.png'> -->
+<img src='assets/storyboard_en.png'>
 
 AI Animation Video Production with [Wan](https://github.com/Wan-Video/Wan2.1) Image-to-Video
 
+(please refer to [`assets/example_videos`](assets/example_videos))
+
 ## **Acknowledgements**
 
 This code is built on [diffusers](https://github.com/huggingface/diffusers)