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Prompt Writing Guide

Master AI video prompts to get consistently stunning results from every generation

Why Prompts Matter

The difference between a mediocre generation and a stunning one is almost always the prompt. AI models are powerful, but they follow instructions literally. A vague prompt produces a generic result. A specific, well-structured prompt gives the model everything it needs to generate exactly what you have in mind.

Compare these two prompts for the same subject:

  • Vague: "a person walking"
  • Specific: "A confident businesswoman in a navy blazer walking through a sun-lit glass office corridor, smooth tracking shot, cinematic depth of field, warm golden light"

The second prompt consistently produces professional, cinematic output. The first produces something unpredictable.

Prompt Anatomy

Think of a strong prompt as having six components. Not every prompt needs all six, but the more you include, the more control you have over the result.

[Subject] + [Action/Motion] + [Setting] + [Lighting] + [Style/Mood] + [Camera]
ComponentWhat to DescribeExample
SubjectWho or what is in the scene"a golden retriever puppy"
Action / MotionWhat the subject is doing"running through tall grass"
SettingWhere the scene takes place"in a sunlit meadow at dusk"
LightingQuality and direction of light"warm backlit golden hour glow"
Style / MoodAesthetic tone"cinematic, joyful, soft focus"
CameraShot type and movement"wide tracking shot, slow motion"

5 Prompt Writing Tips

1. Describe Motion Specifically

For video generation, motion is everything. Instead of "a waterfall," write "a powerful waterfall crashing into a misty pool below, water spray catching the sunlight." The more precisely you describe movement, the better the AI can reproduce it.

2. Include Lighting Details

Lighting transforms the emotional quality of a shot. Terms like "golden hour," "overcast diffused light," "neon-lit night scene," or "dramatic side lighting" give the model a clear visual direction.

3. Specify Camera Movement

Camera direction makes the difference between a static clip and cinematic content. Use terms like:

  • "slow push in"
  • "smooth tracking shot"
  • "handheld, slightly shaky"
  • "drone aerial pull-back"
  • "static locked-off wide shot"

4. Add Style Keywords

Style keywords quickly anchor the aesthetic. Useful keywords include: cinematic, photorealistic, anime, documentary, film noir, dreamy, editorial, hyper-realistic, watercolor.

5. Set the Scene

Context matters. A subject in an empty void looks different from the same subject in a busy street, a quiet forest, or a sleek studio. Always describe the environment.

Model-Specific Tips

Different models have different strengths. Choosing the right model for your content type dramatically improves output quality.

You can select your model on the tool page before generating. Experimenting with different models on the same prompt is a quick way to find which one suits your style.

ModelBest At
Sora 2Complex scenes with multiple interacting elements, rich environments
Kling AI 2.6Human characters, facial expressions, body movement
Veo 3.1Physics-accurate scenes, nature, water, fire, fluid dynamics
Wan AI 2.5 / 2.6General-purpose generation, versatile across subject types
SeedanceFast cinematic output, stylized footage

Negative Prompts

Some VisioArt models support negative prompts — a secondary text field where you describe what you want the model to avoid. Use this to remove common unwanted artifacts:

  • "blurry, low resolution, distorted faces, extra limbs, watermark, text overlay"
  • "overexposed, washed out, flat lighting, cartoon style" (when you want realism)
  • "shaky camera, motion blur, lens flare" (when you want clean footage)

Quick Reference: Before You Generate

Before submitting a generation, run through this checklist:

  • Is the subject clearly described?
  • Have I specified what is moving and how?
  • Did I set the scene and environment?
  • Did I mention lighting?
  • Did I specify a camera angle or movement?
  • Is the model appropriate for this content type?

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