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AI video generation using image, video, and audio references Reference to Video is an AI video generation platform that creates coherent videos from image, video, and audio references. It helps users maintain consistent characters, products, outfits, motion, camera direction, visual styles, voices, and timing across newly generated scenes. Users can assign specific roles to each reference asset and generate videos for storytelling, marketing, UGC, fashion, music, anime, gaming, and branded content.
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Key Features AI
Core Features
AI video generation from image, video, and audio references
Character identity and facial consistency across scenes
Product, packaging, outfit, and branding consistency
Motion and performance guidance from video references
Camera movement control using video references
Audio, dialogue, music, rhythm, and timing synchronization
Multi-character reference workflows
Support for Seedance, MiniMax H3, and Gemini Omni models
Video generation up to 30 seconds depending on model and settings
720P, 1080P, 2K, and 4K output options
Prompt-based reference role assignment
Templates for UGC ads, anime characters, fashion, music videos, mascots, and game characters
Advantages
Combines image, video, and audio references in one workflow
Strong control over character, product, outfit, motion, camera, and sound consistency
Supports multiple AI video models and output resolutions
Useful templates for common creative and marketing workflows
Supports multi-character stories and product-person advertising
Provides guidance for troubleshooting common consistency problems
Offers video generation up to 30 seconds on supported settings
缺点：Paid plans are required for meaningful generation capacity
缺点：Credits are issued monthly and do not roll over
缺点：Native video references consume additional credits on Seedance and MiniMax H3
缺点：Best results require clean references and carefully assigned source roles
缺点：Model capabilities, duration, resolution, and reference limits vary
缺点：The platform may ignore or confuse conflicting or redundant reference assets
缺点：No clearly stated free generation quota is provided
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