Model × use-case prompt tool

Wan 3.0 Video Editing Prompt Generator

This page combines the current Wan 3.0 prompt profile with a production preset for video editing. Start from the prefilled workflow, then replace the subject and action with your real brief.

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
Use-case playbook

How to build this type of AI video prompt

This page combines the current Wan 3.0 prompt profile with a production preset for video editing. Start from the prefilled workflow, then replace the subject and action with your real brief.

  • State what must stay unchanged before describing the edit.
  • Change one production layer at a time.
  • Review identity, timing and geometry after every edit pass.
  • Model profile: 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.
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: An existing source video whose approved subject and timing should remain recognizable.
Action: Change only the requested production layer such as environment, lighting, styling or one controlled object while preserving the approved performance.
Environment: Source environment unless specifically replaced.
Camera: Preserve source camera path unless explicitly changed.
Shot: Reference-driven video edit.
Lighting: Preserve or deliberately relight the source as requested.
Style: Controlled reference-preserving video edit.
Audio: Preserve source audio unless the edit explicitly changes it.
Avoid: No timing reset, no identity drift, no unrequested camera change, no random object replacement.

Why this structure is useful

  • The subject is explicit, so identity or product geometry has a clear anchor.
  • The action is written as a visible event rather than an abstract creative goal.
  • Framing and camera behavior are separated from subject motion.
  • Visual treatment is added after the physical shot logic, reducing conflicting instructions.
  • Audio direction is isolated as its own layer so it can be kept, removed or adapted per model.

Check before rendering

  1. State what must stay unchanged before describing the edit.
  2. Change one production layer at a time.
  3. Review identity, timing and geometry after every edit pass.
  4. Model profile: 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.
  5. 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

  • Copying the same generic prompt across models instead of adapting it to the model prompt profile.
  • Ignoring a capability requirement that the selected workflow depends on, such as references, audio or multi-shot control.
  • Judging a production workflow from one render instead of budgeting for iteration and retries.
Search intent

What this page is meant to answer

Use this page when both parts of the query are fixed: the model is Wan 3.0 and the job is video editing. The preset combines that production brief with the model-specific prompt profile.

One named modelOne named production taskA prefilled prompt adapted to both

Scope boundary: This is narrower than a generic video editing prompt generator and more task-specific than the general Wan 3.0 prompt page.