Reference to Video AI Generator

Guide a new shot with image, video, and audio references. Assign each asset a clear role for character, product, scene, motion, camera, or rhythm, then generate and review the result.

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What Is Reference-to-Video AI?

Multimodal References

Combine image, video, and audio references

Use images for appearance, video for movement or camera language, and audio for pace or rhythm. Keep the prompt focused on the new shot you want.

Asset Roles

Assign each asset a role with @

Mention uploaded assets in the prompt and state what each one controls, such as @Image1 for the character, @Image2 for clothing, or @Video1 for camera movement.

Visual Continuity

Carry recognizable characters and products into new scenes

Use clean, compatible references to preserve useful identity, wardrobe, product-shape, color, and scene cues. Results can vary, so review important details before publishing.

Motion and Rhythm

Guide motion, camera, and audio rhythm

Let a reference clip suggest blocking or camera movement and let audio shape timing. Avoid asking one asset to control several conflicting decisions.

How to Generate a Video From References

01

Choose compatible reference assets

Select clear images, short motion examples, or audio with one useful purpose each. Remove redundant or contradictory references before generating.

02

Assign roles and describe the new shot

Use @ mentions to state what each asset controls, then define the new action, setting, camera, lighting, and mood in the prompt.

03

Generate and change one variable

Review identity, product shape, motion, camera, rhythm, and artifacts. Keep the useful parts fixed and change one reference or instruction for the next result.

Why Use a Multimodal Reference Workflow?

A multimodal workflow gives each source asset a practical job while the prompt defines a new shot. Important visual details should always be reviewed.

More control than a single starting image

Add separate cues for appearance, motion, camera, and rhythm when one still frame cannot express the whole shot.

Clearer instructions through asset roles

Role-based @ mentions reduce ambiguity by telling the model which reference supports each visible or temporal decision.

Useful continuity without absolute promises

References can improve recognizable character, wardrobe, product, and style cues, but output remains generative and should be checked.

A repeatable iteration loop

Changing one variable at a time makes it easier to learn whether a reference, role, prompt detail, or setting improved the shot.

Reference to Video AI FAQ

What is Reference to Video AI?

It is an AI video workflow that uses uploaded images, video, or audio as guidance while generating a new shot from your prompt. Each reference can control a different part of appearance, motion, camera, or timing.

Which reference media can I use?

The multimodal reference workflow supports image, video, and audio references. Current file, duration, and quantity limits are shown in the generator configuration.

How does @ role assignment work?

Mention an uploaded asset by its @ label in the prompt and state one clear responsibility, such as character appearance, product shape, camera movement, or audio rhythm.

Can it keep a character or product consistent?

Clean and compatible references can improve recognizable details across a new scene, but no generative model guarantees perfect identity or product geometry. Review each result before use.

How is this different from Image to Video?

Image to Video usually animates one starting image or frame. Reference to Video can combine several images with video motion and audio timing while the prompt defines a new shot.

How is this different from Video to Video?

Video to Video transforms or edits a source clip across its timeline. In Reference to Video, a clip can be one source of motion or camera guidance rather than the complete output structure.

What should I do when references conflict?

Remove the least important asset, give every remaining reference one role, and eliminate duplicate instructions. Generate again after changing only one variable.

How should I review a generated result?

Check identity, product shape, motion, camera, rhythm, and visual artifacts. Keep the useful parts fixed and revise one variable at a time.

Build a new shot from your references

Upload compatible assets, assign one role to each, and continue with multimodal reference generation.