How to Write Prompts for AI Video Generation
Writing effective AI video prompts follows a specific structure: lead with subject and action, add camera and lens specifications, define lighting and atmosphere, then include style and quality modifiers. The most effective prompts are 50-120 words, use professional cinematography terminology, and specify one clear action per clip. According to community testing data, well-structured prompts improve output quality by 40-60% compared to casual descriptions (AI Prompt Engineering Report, r/aivideo 2026).
What Is the Best Prompt Structure for AI Video?
The optimal prompt structure follows the "SCALE" framework — Subject, Camera, Atmosphere, Lighting, Extras:
- Subject (who/what + action): "A young woman in a leather jacket walks along a pier"
- Camera (angle + movement + lens): "tracking medium shot, 50mm lens, steadicam"
- Atmosphere (environment + mood): "foggy morning, muted colors, melancholic"
- Lighting (light source + quality): "soft overcast daylight, subtle backlight from rising sun"
- Extras (style + quality): "cinematic, 4K, film grain, shallow depth of field"
- Close-up / extreme close-up
- Medium shot / medium close-up
- Wide shot / establishing shot
Complete prompt example:
"A young woman in a leather jacket walks along a weathered wooden pier, tracking medium shot from the side, 50mm lens, steadicam movement, foggy morning, muted desaturated palette, melancholic atmosphere, soft overcast daylight with subtle backlight from the rising sun, cinematic quality, 4K, film grain, shallow depth of field."
This 55-word prompt contains every element an AI model needs to generate a coherent, high-quality clip.
What Camera Terms Work Best in AI Video Prompts?
AI video models are trained on film and television data, making them highly responsive to professional cinematography vocabulary. Using the right terms dramatically improves output.
Camera angles (from most to least responsive):
Use consistent lens and movement language across clips so your storyboard reads as one film, not unrelated samples.
Frequently Asked Questions
Do AI video models support negative prompts?
Kling 2.0 supports negative prompts (specify what to avoid). Most other models do not have explicit negative prompt fields. Instead, focus on describing what you want rather than what you don't want.
Should I use the same prompt structure for every model?
The SCALE framework works across all models, but emphasis varies. Runway responds best to technical camera terms, Kling to motion descriptions, Sora to mood/atmosphere, and Veo to realistic detail. NerdFX AI handles these adaptations automatically.
How do I prompt for specific emotions?
Describe the emotion through physical expression and environment: "tears streaming down her face, trembling lip, hunched shoulders" rather than "she is sad." Visual specificity outperforms emotional labels.
Can I use reference images alongside text prompts?
Yes, and you should. All major models support reference/control images. Combining text prompts with visual references produces the most consistent, controllable output. Upload character and environment references alongside every text prompt.
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