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@@ -25,14 +25,14 @@ I've trained an interesting text-image-video CoT LLM through image-text space al
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  - **Demo :**
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  - It can analysis the video with chain of thought to output a better result
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  - **Input :**
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- - [![点击观看演示视频](https://i9.ytimg.com/vi/oDK8NEIEIZ8/mqdefault.jpg?sqp=CPC-gcIG-oaymwEmCMACELQB8quKqQMa8AEB-AGqA4AC8AGKAgwIABABGGUgUyhTMA8=&rs=AOn4CLD_YQ5KA-Fgimre-bl_LDQJiBlTqg)](https://youtu.be/oDK8NEIEIZ8)
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  - **Output :**
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- - [![点击观看演示视频](https://i9.ytimg.com/vi_webp/7OHFA4ayw-U/mqdefault.webp?sqp=CPC-gcIG&rs=AOn4CLBcReNkhCWuNzAvgPWNrDP-vlSWCA)](https://youtu.be/7OHFA4ayw-U)
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  - Because chain of thought, it can better follow complex instructions and generate accurately formatted output:
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  - **Input :**
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- - [![点击观看演示视频](https://i9.ytimg.com/vi/MgnDRQ_-zAo/mqdefault.jpg?sqp=CPC-gcIG-oaymwEmCMACELQB8quKqQMa8AEB-AHUBoAC4AOKAgwIABABGH8gEyh8MA8=&rs=AOn4CLDiakGbja5ayg1NKwst4dIE_lQvog)](https://youtu.be/MgnDRQ_-zAo)
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  - **Output :**
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- - [![点击观看演示视频](https://i9.ytimg.com/vi_webp/dEIomBOJSu0/mqdefault.webp?sqp=CPC-gcIG&rs=AOn4CLD8AucTZB8ibRJpRqN-BwYP2hvPrw)](https://www.youtube.com/watch?v=dEIomBOJSu0)
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  ## Uses(At least 24GB of VRAM is required)
 
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  - **Demo :**
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  - It can analysis the video with chain of thought to output a better result
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  - **Input :**
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+ - [![Click to watch the demo](assets/demo0.jpg)](https://youtu.be/oDK8NEIEIZ8)
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  - **Output :**
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+ - [![Click to watch the demo](assets/demo1.webp)](https://youtu.be/7OHFA4ayw-U)
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  - Because chain of thought, it can better follow complex instructions and generate accurately formatted output:
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  - **Input :**
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+ - [![Click to watch the demo](assets/demo2.jpg)](https://youtu.be/MgnDRQ_-zAo)
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  - **Output :**
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+ - [![Click to watch the demo](assets/demo3.webp)](https://www.youtube.com/watch?v=dEIomBOJSu0)
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  ## Uses(At least 24GB of VRAM is required)