This PR significantly enhances the model card for **Ditto** by adding:
* The `pipeline_tag: video-to-video` to improve discoverability on the Hugging Face Hub.
* Links to the official paper ([Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset](https://huggingface.co/papers/2510.15742)), project page (https://ezioby.github.io/Ditto_page), and GitHub repository (https://github.com/EzioBy/Ditto).
* The model's abstract and a descriptive introduction.
* A visual example (GIF) directly from the GitHub repository.
* Detailed sample usage instructions with code snippets for both `DiffSynth` and `ComfyUI`, copied directly from the GitHub README.
* The citation, acknowledgments, and license information.
These additions make the model card more informative, user-friendly, and self-contained, greatly improving its documentation and usability on the Hugging Face Hub.
