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.

OpenClaw Skills

A likely OpenClaw use case is an agent workflow that turns brand assets, product photos, character sheets, and creative briefs into structured reference packs and prompt templates for short video generation. Another plausible skill is review orchestration: OpenClaw could help compare prompt variants, tag reusable drafts, and route outputs into campaign or content pipelines, although the page does not confirm any native integration. In practice, this combination could help marketing, design, and content teams standardize early-stage video ideation and asset-driven motion drafting.