Reference to Video AI Generator | Multi-Reference Video

What

Reference2Video is an AI video generation workflow for creating short videos from image, video, and audio references plus a text prompt. It appears aimed at creative teams, marketers, and makers who need guided motion drafts while preserving subject identity, product details, scene anchors, motion cues, or timing direction.

Features

• Multi-reference video generation: Supports combining multiple image, video, and audio references so a generated clip can follow subject, prop, environment, motion, and timing cues in one workflow.
• Prompt-based motion control: Lets users describe action, camera movement, pacing, mood, and scene direction to make the output more specific than reference-only generation.
• Model-aware composer settings: Exposes options such as supported reference types, duration, resolution, aspect ratio, and audio based on the selected model, which helps set realistic output expectations.
• Account-scoped history and review: Keeps uploaded references, job status, and saved results tied to the user account for reopening, comparing, and reusing drafts later.
• Workflow patterns for common use cases: Provides structured guidance for product motion, character continuity, scene remixing, and multi-reference story scenes to reduce prompt ambiguity.

Helpful Tips

• Use clean references with one clear purpose each, such as subject, background, prop, or style, to improve consistency in short generated shots.
• Keep prompts narrow: one action, one camera idea, and one short duration generally fit this type of tool better than complex scene changes.
• For product or character consistency, restate what must stay fixed and reduce extra scene detail if the output starts to drift.
• Check model-specific input support before planning a workflow, since video and audio reference slots are described as available only when the selected model exposes them.