Multimodal references
Combine image, video, and audio evidence in a single video-generation workflow.
A multimodal AI video generator that uses image, video, and audio references to control identity, products, motion, camera, style, and timing.
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Combine image, video, and audio evidence in a single video-generation workflow.
Anchor recognizable faces, hair, clothing, proportions, and other identity details across new scenes.
Preserve product shape, color, materials, packaging, and label placement in campaign variations.
Use a video reference to communicate gestures, performance, framing, and camera movement.
Guide voice, music, rhythm, beats, and synchronization when the selected model accepts audio references.
Keep a recurring human, anime, 3D, or mascot character recognizable across multiple scenes.
Combine a creator reference and product reference to generate multiple campaign settings.
Carry wardrobe, performer identity, movement, and timing across stylized shots.
Preserve products, palettes, locations, and a repeatable visual language across content.
Reference to Video is a multimodal generation workspace for creating coherent videos from image, video, and audio references. Instead of asking one text prompt to define every production decision, each reference can anchor a specific role such as character identity, product appearance, motion, camera behavior, style, sound, or timing.
Reference inputs can contain copyrighted media, voices, and identifiable people. Obtain permission, keep each reference's role clear, and review generated output for unwanted likeness or brand changes.