video▌

Generate videos with 40+ AI models including Veo, Seedance, Wan, and Grok via inference.sh CLI. \n \n Supports text-to-video, image-to-video, avatar animation, lipsync, video upscaling, and foley sound generation across multiple model families \n Access to Google Veo (3.1, 3, 2), ByteDance Seedance, Falai Wan, xAI Grok, and economical alternatives like P-Video and WAN models \n Includes utility tools for video upscaling, sound effect generation, and multi-clip merging with transitions \n Require

Generate performant animation code using React Native Reanimated. Supports both v3 and v4.

通过视觉/视频大模型分析视频内容，支持本地视频文件和互联网视频。

Download videos from YouTube and other platforms in multiple formats and quality levels. \n \n Supports quality selection from 480p to 4K, with format options including MP4, WebM, and audio-only MP3 \n Handles single videos, playlists, and batch downloads of multiple videos in one command \n Preserves metadata including title, description, and thumbnail with organized file naming \n Respects copyright and fair use; intended for personal, educational, and archival purposes only \n

Convert still images to animated videos with model selection, motion prompting, and camera control. \n \n Six models available (Wan 2.5 i2v, Seedance, Fabric, Grok) with guidance on when to use each based on content type and motion style \n Motion prompting framework covering camera movement (pan, dolly, orbit, crane), subject motion (natural elements, character, liquid), and atmospheric effects \n Best practices emphasizing subtle motion over dramatic action, with structured prompt templates an

Create professional, modern product launch videos using Remotion and React.

Write React components, get real MP4 videos. This skill teaches your AI agent how to build with Remotion — from a first animation to a production rendering pipeline.

Generate high-quality videos from structured prompts with optional reference image guidance. \n \n Creates JSON-formatted prompts specifying subject, style, camera work, dialogue, and audio elements \n Supports reference images to guide or anchor the first/last frame of generated videos \n Executes generation via Python script with configurable aspect ratio (default 16:9) \n Integrates with image-generation skill to create reference frames when needed \n

Help YouTubers/UP主 prepare video content: write structured scripts (口播稿), blog posts, and platform-specific publishing materials.

Structured prompting techniques for generating high-quality videos across multiple AI platforms. \n \n Covers eight video generation models (Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora) with model-specific optimization tips \n Provides a reusable prompt formula combining shot type, subject, action, setting, lighting, style, and technical parameters \n Includes reference tables for shot types, camera movements, lighting keywords, and visual aesthetics with practical examples \n Demonstrat