Prompt tool

Vidu Q3 Turbo Prompt Generator

Build a prompt specifically structured for Vidu Q3 Turbo. The tool applies the current model prompt profile while keeping your subject, action, camera and continuity requirements explicit.

Generated prompt

Fill in the form and generate your prompt.
This tool prepares model-specific prompts for current AI video generators. It does not render video and does not require paid generation APIs.
Vidu prompting

How to prompt Vidu Q3 Turbo

Fast/current Vidu Q3 route with audio, scene cuts and reference-to-video.

Prompt strategy: Use direct shot language with explicit action beats, camera movement, scene-cut intent and identity/reference constraints. Vidu Q3 supports audio-video output and smart scene cuts, so describe dialogue, ambience or SFX only when useful and keep multi-shot continuity explicit.

Capabilities
Text → video Image → video References First / last frame Native audio Multi-shot

Reference price snapshot

$0.055 / second · 720p · T2V/I2V

Pricing source
Production-ready structure

Prompt anatomy and pre-render checks

Use the working preset as a starting point, then simplify it around the exact shot you need. These checks are generated from this page's workflow preset and the current model profile.

Starter prompt blueprint

Subject: define one clear subject and the visible starting state.\nAction: describe one readable action that can complete inside the clip.\nCamera: use one motivated camera move and state where the shot should finish.\nContinuity: lock only the identity, geometry, wardrobe, environment or lighting details that must remain stable.
Model strategy: Use direct shot language with explicit action beats, camera movement, scene-cut intent and identity/reference constraints. Vidu Q3 supports audio-video output and smart scene cuts, so describe dialogue, ambience or SFX only when useful and keep multi-shot continuity explicit.

Why this structure is useful

  • It starts with the visible subject and action before adding style language.
  • It keeps camera direction separate from what the subject is doing.
  • It gives continuity constraints a dedicated place instead of hiding them inside descriptive prose.

Check before rendering

  1. Keep the visible action achievable within the selected clip duration.
  2. Separate subject motion from camera motion so the generator does not have to infer which element should move.
  3. Describe the final framing or state when the ending composition matters.
  4. Model-specific structure: Use direct shot language with explicit action beats, camera movement, scene-cut intent and identity/reference constraints. Vidu Q3 supports audio-video output and smart scene cuts, so describe dialogue, ambience or SFX only when useful and keep multi-shot continuity explicit.

Common failure patterns

  • Using broad adjectives in place of visible subject action, camera behavior and timing.
  • Overloading one generation with several unrelated beats or transitions.
  • Leaving continuity constraints implicit when identity or product geometry must remain stable.
Search intent

What this page is meant to answer

Use this page when you have already chosen Vidu Q3 Turbo and need a text-to-video prompt shaped around that model’s current prompt profile.

Model-specific prompt structureSubject, action and camera wordingA copy-ready text-to-video prompt

Scope boundary: This is not the reference-image workflow, a pricing page or the full capability guide for the model.