Prompt tool

Wan 3.0 Prompt Generator

Build a prompt specifically structured for Wan 3.0. The tool applies the current model prompt profile while keeping your subject, action, camera and continuity requirements explicit.

AI model

Duration

Aspect ratio

Subject

What should happen?

Environment

Camera movement

Shot type

Lighting

Visual style

Audio / dialogue

Avoid / negative instructions

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.

Alibaba prompting

How to prompt Wan 3.0

Current Wan 3.0 general video API.

Prompt strategy: Describe composition, subject motion, environment motion, camera behavior and temporal continuity explicitly. Keep cause-and-effect clear, maintain stable identity/geometry, and specify reference relationships when used. Audio direction may be included for current multimodal Wan workflows.

Capabilities

Text → video Image → video Video → video Native audio References First / last frame

Reference price snapshot

$0.1 / second · 720p · list price

Pricing source

Image → Video prompt Cost calculator Model guide

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: Describe composition, subject motion, environment motion, camera behavior and temporal continuity explicitly. Keep cause-and-effect clear, maintain stable identity/geometry, and specify reference relationships when used. Audio direction may be included for current multimodal Wan workflows.

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

Keep the visible action achievable within the selected clip duration.
Separate subject motion from camera motion so the generator does not have to infer which element should move.
Describe the final framing or state when the ending composition matters.
Model-specific structure: Describe composition, subject motion, environment motion, camera behavior and temporal continuity explicitly. Keep cause-and-effect clear, maintain stable identity/geometry, and specify reference relationships when used. Audio direction may be included for current multimodal Wan workflows.

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