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.
Try Reference to Video FreeSame 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.
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.
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.
Upload a Reference NowDescribe 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 ClipWhy 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.
Reference to Video — Common Questions
Honest answers about how R2V works, what affects consistency, and what to expect from the free tier.
Try Reference to Video Free