{"enrichment":{"faq":[{"a":"aliyun-happyhorse-r2v generates videos by fusing 1\u20139 reference images into a single output video. You provide the images and a text prompt that maps each image to a character placeholder (character1, character2, etc.). The skill uses the DashScope HappyHorse API to process your request asynchronously, then polls and retrieves the completed video. Customize resolution, aspect ratio, and duration as needed.","q":"How do I generate video from reference images using aliyun-happyhorse-r2v?"},{"a":"Yes. aliyun-happyhorse-r2v supports multi-subject video synthesis by binding multiple character references to images in your generation prompts. You can fuse up to 9 reference images into a single video, with each image mapped to a character placeholder in your prompt text, enabling rich multi-character animations.","q":"Can aliyun-happyhorse-r2v create multi-subject video animations?"},{"a":"aliyun-happyhorse-r2v implements async reference-to-video synthesis via the DashScope HappyHorse API. You submit reference images and a character-mapped prompt; the API processes the request asynchronously. The skill then polls the task status and retrieves your generated video once complete, handling the full async lifecycle for you.","q":"What is the DashScope r2v video generation workflow?"},{"a":"aliyun-happyhorse-r2v supports fusing 1 to 9 reference images per video generation. Each image is bound to a character placeholder in your prompt (character1, character2, etc.), allowing flexible multi-subject compositions within that range.","q":"How many reference images can aliyun-happyhorse-r2v fuse into one video?"},{"a":"aliyun-happyhorse-r2v lets you customize resolution, aspect ratio, and duration for your generated videos. These settings apply across the reference-to-video synthesis process, giving you control over output format and length alongside your character-mapped prompt guidance.","q":"What customization options does aliyun-happyhorse-r2v offer?"},{"a":"Yes, aliyun-happyhorse-r2v is released under the MIT license, making it open source and freely available for use, modification, and distribution.","q":"Is aliyun-happyhorse-r2v open source?"}],"shadow_tags":["video-synthesis","multi-subject-animation","async-generation","character-binding","image-fusion","dashscope-api","reference-driven","batch-media-input","cinematic-output","task-polling"],"summary_rewrite":"This skill generates videos by blending multiple reference images into a single output, with prompts that map each image to a character placeholder (character1, character2, etc.). Supports 1\u20139 images per video, customizable resolution, aspect ratio, and duration via the DashScope async API."},"files":[{"bytes":8436,"path":"skills/ai/video/aliyun-happyhorse-r2v/SKILL.md","sha256":"fc4b6c0e9351ee8ba9a29bf1a488cea53d6bd4de893b5418af12ab92dfb9bd80","url":"https://skillfed.io/files/cinience/alicloud-skills/aliyun-happyhorse-r2v/6a520254/SKILL.md"}],"id":"cinience/alicloud-skills/aliyun-happyhorse-r2v","links":{"html":"https://skillfed.io/cinience/alicloud-skills/aliyun-happyhorse-r2v","md":"https://skillfed.io/cinience/alicloud-skills/aliyun-happyhorse-r2v.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-happyhorse-r2v","publisher":"cinience","stars":397},"relations":{"categories":["video-generation","ai-content-creation","media-synthesis"],"similar":[{"id":"cinience/alicloud-skills/aliyun-happyhorse-videoedit"},{"id":"cinience/alicloud-skills/aliyun-happyhorse-t2v"},{"id":"cinience/alicloud-skills/aliyun-happyhorse-i2v"},{"id":"cinience/alicloud-skills/aliyun-wan-videoedit"},{"id":"cinience/alicloud-skills/aliyun-kling-video"},{"id":"cinience/alicloud-skills/aliyun-vidu-video"},{"id":"AceDataCloud/Skills/happyhorse-video"},{"id":"cinience/alicloud-skills/aliyun-wan-i2v"},{"id":"cinience/alicloud-skills/aliyun-wan-image"},{"id":"cinience/alicloud-skills/aliyun-video-style-repaint"}]},"slug":{"owner":"cinience","repo":"alicloud-skills","skill":"aliyun-happyhorse-r2v"},"version":"6a520254"}