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Brand voice doc in 4 steps
Pick your subject, camera move, mood, lighting, duration, style and aspect ratio. The generator composes the same scene in 4 model-native formats — Runway, Pika, Sora, Veo — so you paste into whichever you're running today.
Each format speaks the model's native voice. Pika gets motion tags. Runway gets technical params. Sora gets cinematographic narration. Veo gets structured key:value.
Runway, Pika, Sora, Veo side-by-side.
Subject, camera, mood, lighting, more.
Pure client-side. Instant. Anonymous.
Verbose w/ technical params
Epic, cinematic shot of a Bali cafe at sunrise. The camera dollies smoothly forward, slowly closing distance to the subject. Warm golden-hour light raking across the scene at a low angle. photoreal cinematography, 35mm film grain, shallow depth of field. Aspect ratio 16:9, 8s duration, 24fps, motion bracket 4, upscale enabled.
Shorter, motion-focused
a Bali cafe at sunrise, filmic cinematic, dolly in camera, golden hour lighting, photoreal style --ar 16:9 --fps 24 --motion 3
Cinematographic, scene-described
A 8s filmic cinematic scene. We see a Bali cafe at sunrise. The camera dollies smoothly forward, slowly closing distance to the subject, holding 16:9 framing throughout. Warm golden-hour light raking across the scene at a low angle, lending a cinematic atmosphere. The visual treatment is photoreal cinematography, 35mm film grain, shallow depth of field, with continuity preserved from first to last frame.
Google-tuned, structured
Subject: a Bali cafe at sunrise. Camera: Dolly in. Lighting: Golden hour. Mood: Cinematic. Style: Photoreal — photoreal cinematography, 35mm film grain, shallow depth of field. Aspect ratio: 16:9. Duration: 8s. Frame rate: 24fps.
Quick answers
Runway Gen-3 is best for verbose control over camera moves and technical params. Pika is fastest and best for short motion-driven loops. Sora handles cinematic scenes with character continuity. Veo is Google's tuned model — good for structured prompts. The generator builds for all four side-by-side so you can paste into whichever you're using today.
They're production-starting-points. The 4 formats each use the conventions that model responds to — Pika takes --ar and --motion flags, Veo prefers structured key:value, Sora prefers narrative description, Runway likes technical params. You'll still iterate, but you're starting from format-native scaffolding instead of plain text.
Because each model parses prompts differently. The same scene description that gets you a banger in Sora often produces sludge in Pika. The generator composes the same intent in each model's native voice — verbose technical for Runway, motion-tagged for Pika, narrative for Sora, structured for Veo.
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