Upload a photo, pick something being argued about online, add your own director notes — and get a short video of your pet weighing in. This page documents one generated clip and exactly how it was made.
+720×1280 · 8s · h264 + AAC · 24fps · 3.4 MB
+“That robot is going to be the best-selling product of all time. Every house gets one.”
+A bulldog in a podcast booth, mid-argument on a video call. The audio, the mouth movement and the room were all produced in a single generation from a text prompt — no reference photo, no separate lip-sync pass.
+| Model | google/veo-3.1-lite |
|---|---|
| Route | OpenRouter video API |
| Mode | Text-to-video, native audio |
| Generation time | 62 seconds |
| List price | $0.05 / second at 720p |
Breed, coat colour and markings are described in words. Naming the breed explicitly carries the likeness further than image resolution does.
A real discussion — a thread, a podcast clip, an argument. The claim being made is preserved; only the stakes change.
The owner supplies the attitude. Loud and self-important, or flat and unimpressed. This is what makes it sound like their pet.
Scene, performance and the exact spoken line go to the model as one prompt. Audio and mouth movement are generated together.
This clip is an honest first pass, not a finished result. The coat came back tan-heavy where the character is meant to be predominantly white, and the video-call grid rendered the same dog in every panel instead of four distinct characters. Both trace to the same cause: this route accepts only a first or last frame, not multiple character references. The fix is to generate each character separately and composite them into a 2×2 grid afterwards, which also frees the bottom frame for branding.
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