{"enrichment":{"faq":[{"a":"aliyun-wan-videoedit uses Alibaba's Wan 2.7 model to edit videos through text prompts and optional reference images. You submit a video with editing instructions, and the skill handles async task creation and polling via DashScope's video-synthesis API. Results support multiple resolutions and aspect ratios.","q":"How to edit videos with Wan 2.7?"},{"a":"aliyun-wan-videoedit can convert videos to different artistic styles including clay, anime, and other visual transformations. The skill applies style transfer through Wan 2.7's instruction-based editing, allowing you to specify desired artistic effects via text prompts.","q":"What video style transfers does aliyun-wan-videoedit support?"},{"a":"Yes, aliyun-wan-videoedit supports modifying video resolution, aspect ratio, and duration during the editing process. These adjustments are handled as part of the async video editing workflow through DashScope's API integration.","q":"Can aliyun-wan-videoedit modify video resolution and aspect ratio?"},{"a":"aliyun-wan-videoedit accepts text instructions paired with optional reference images to guide video edits. The skill sends these to Wan 2.7 via DashScope's async API, which processes the content-aware edits and returns the transformed video.","q":"How does instruction-based video editing with reference images work?"},{"a":"aliyun-wan-videoedit integrates Alibaba's DashScope async video-synthesis API to handle long-running video transformations. The skill manages task creation, polling for completion, and media validation, enabling seamless workflow integration for batch or real-time video processing.","q":"What is the DashScope async video editing API integration?"},{"a":"aliyun-wan-videoedit is released under the MIT license, allowing free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.","q":"What license does aliyun-wan-videoedit use?"}],"shadow_tags":["async-video-processing","style-transformation","prompt-driven-editing","reference-image-support","dashscope-integration","video-synthesis-api","multi-modal-editing","aspect-ratio-control"],"summary_rewrite":"This skill harnesses Alibaba's Wan 2.7 video editing model to transform video appearance through style transfer (clay, anime, etc.) or content-aware edits guided by text prompts and optional reference images. It handles async task creation, polling, and media validation across multiple aspect ratios and resolutions."},"files":[{"bytes":7964,"path":"skills/ai/video/aliyun-wan-videoedit/SKILL.md","sha256":"83901506f7fe744e91840842da820ccbc1358882f552c7ab878e0958deba7926","url":"https://skillfed.io/files/cinience/alicloud-skills/aliyun-wan-videoedit/e15a5780/SKILL.md"}],"id":"cinience/alicloud-skills/aliyun-wan-videoedit","links":{"html":"https://skillfed.io/cinience/alicloud-skills/aliyun-wan-videoedit","md":"https://skillfed.io/cinience/alicloud-skills/aliyun-wan-videoedit.md","repo":"https://github.com/cinience/alicloud-skills"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":34,"language":"Python","last_updated":"2026-07-18","license":"MIT","name":"aliyun-wan-videoedit","publisher":"cinience","stars":397},"relations":{"similar":[{"id":"cinience/alicloud-skills/aliyun-happyhorse-videoedit"},{"id":"cinience/alicloud-skills/aliyun-wan-i2v"},{"id":"cinience/alicloud-skills/aliyun-happyhorse-r2v"},{"id":"cinience/alicloud-skills/aliyun-happyhorse-t2v"},{"id":"cinience/alicloud-skills/aliyun-happyhorse-i2v"},{"id":"cinience/alicloud-skills/aliyun-kling-video"},{"id":"cinience/alicloud-skills/aliyun-vidu-video"},{"id":"QianWen-AI/qianwen-ai/qianwen-video-generation"},{"id":"cinience/alicloud-skills/aliyun-wan-video"},{"id":"cinience/alicloud-skills/aliyun-qwen-image"}]},"slug":{"owner":"cinience","repo":"alicloud-skills","skill":"aliyun-wan-videoedit"},"version":"e15a5780"}