The Right AI Model for Every Shot

Match Models to Your Scenes

Different AI models excel at different things. Instead of using one model for everything, assign the best model to each scene in your storyboard:

• Veo3: Cinematic shots, natural lighting, subtle motion
• Kling/SeeDance: Action sequences, dance, dynamic movement
• Hailuo/Fabric: Stylized looks, artistic effects, painterly aesthetics

Example workflow: An ad campaign opens with a Veo3 landscape shot, cuts to Kling product action, and fades to Fabric abstract visuals for the closing.

Test Models Without Risk

Use timeline duplication to experiment without overwriting your work:

1. Duplicate your sequence: Copy the timeline track you want to test.
2. Swap the model: Change one scene's model selection and regenerate.
3. Compare side-by-side: Label tracks clearly (e.g., "Kling Action Test") for easy comparison.

This approach helps you find the best model for each scene quickly.

Share Prompt Elements Across Models

Keep your video cohesive by reusing core prompt elements:

• Save templates: Store descriptions like "Hero in leather jacket, low-angle tension" for reuse across models.
• Adjust for model strengths: Keep the core the same, but tweak endings for each model's capabilities.
• Use reference images: Export a frame from one model's output and use it as a reference for another model to maintain visual consistency.

Tip: Create prompt variables like "[action scene], urban setting at dusk" that work across multiple models.

Blend Multiple Models in the Editor

Once you have clips from different models, blend them on the timeline:

• Color matching: Use grading tools to unify the look across different model outputs.
• Transition presets: Use transitions to smooth over stylistic differences between models.
• Audio as anchor: Sync voiceover or music across all clips to tie the sequence together.

Example: A trailer uses Veo3 for narrative bookends, Kling for the action core, and Fabric for stylized accent shots - all blended into a cohesive piece.

Track What Works

After publishing, note which model choices drove the best results:

• Log metrics: Track retention, engagement, and audience response by scene.
• Build a playbook: Document patterns like "Kling boosts action scene retention by 25%."
• Update regularly: As models improve, revisit your preferences.

Over time, you'll develop data-driven defaults for different scene types.

Frequently Asked Questions

The Bottom Line

Using multiple AI models isn't about complexity - it's about using the right tool for each job. Map models to scene types, test systematically, and blend results on the timeline. Your videos will be more varied and more effective.

See also: Video transitions guide for polishing multi-model sequences.