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One Reference Photo. Endless Videos. Same Character Every Time.

Reference to Video (R2V) uses your uploaded images as an identity anchor — so the character, style, and look stay locked no matter what scene you generate.

  • Character Stays Consistent
  • Multi-Image Reference
  • Free 1080p MP4

Unlike text-to-video that invents a random face each time, R2V reads your reference and holds that identity in motion. Upload one image or several — the model threads consistency through every frame.

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Same Character. Different Worlds.

Three characters, each placed into completely different scenes, outfits, and situations. The face, style, and visual feel stay exactly as defined by the reference photo — no drift, no invented look.

Reference

How Reference to Video Works (2 Steps)

Upload your reference image, describe the scene you want. The model handles character identity — you handle the story.

1

Upload Your Reference Image

Drop in a portrait, character design, or illustration. The more clearly the face or character is visible, the tighter the identity lock in the output. Add multiple reference images from different angles for even sharper consistency.

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2

Describe the Scene and Generate

Write what the character should be doing, wearing, or where they should be. Hit generate — the model keeps the face and style anchored while animating your character into motion. Most clips finish in under 60 seconds.

Generate Your First Clip

Why Reference to Video Is Different From Regular Image-to-Video

Standard image-to-video animates a single starting frame. R2V uses your images as an ongoing identity constraint — the difference shows up in consistency across longer clips and scene changes.

Identity Lock, Not Just a Starting Frame

Regular image-to-video treats your uploaded image as frame zero and drifts from there. R2V treats it as an identity constraint that runs through the whole generation — so who you gave it is who finishes the clip.

Works Across Outfits, Scenes, and Actions

Change the background, the clothing, the activity — the character stays recognizable. That's what consistent character actually means in practice: not just frame-to-frame coherence, but cross-scene identity you can rely on.

Multi-Reference: More Data, Sharper Results

Upload multiple photos of the same character from different angles or contexts. The model builds a richer identity model — tighter consistency than a single reference can provide, especially across extended or complex scenes.

Photos, Anime, and Illustrated Characters

Works on photographs, anime, 3D renders, and stylized illustrations. The model reads visual style from your reference and matches output to that aesthetic — no forced conversion into a look you didn't ask for.

Chain Clips for Any Length

Each generation produces a 5-second 1080p MP4. Because character identity stays consistent across separate generations, you can chain clips into full scenes without continuity breaks between them.

Pairs with Face Swap for Precision

For the sharpest possible reference, refine your source image with the free face swap tool first. A clean reference in means a more consistent character out — the two tools are designed to work together.

What Creators Say About Reference to Video

From character designers to content creators — real feedback on what consistent character generation actually changes about the work.

5 out of 5 stars

"I've tried five different image-to-video tools for a serialized project. The character always looked slightly different by the second clip — new lighting, new face shape, new energy. With R2V the face stayed. Not 'close enough' — stayed. That's the only reason long-form episodic AI video is viable at all."

@KarinaV
Independent Story Creator

5 out of 5 stars

"The multi-reference feature changed how I build characters. I used to rely on one hero shot and hope the model figured out the rest. Now I give it three or four angles and the output is noticeably sharper — especially in motion. You can actually see the difference."

@Drezz
Character Designer

5 out of 5 stars

"I was skeptical about any tool that promised consistency. What I tested: same character, five different outfits and backgrounds, five separate generations. All five looked like the same person. That's what I needed, and I hadn't found it anywhere else."

@LumiArt
Digital Artist

5 out of 5 stars

"The face-swap-to-R2V pipeline is the part I didn't expect to matter as much as it does. Cleaning up the reference image first takes an extra minute. The output quality difference over five or six clips is not small. Worth knowing before you skip that step."

@TomaszW
Content Creator

Reference to Video — Common Questions

Honest answers about how R2V works, what affects consistency, and what to expect from the free tier.

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