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How to get the best quality from each video model

VIDEO MODELS5 minAdvanced

Model-specific tips for prompts, settings, and aspect ratios to maximize output quality.

How to get the best quality from each video model

What you'll learn

  • Write prompts optimized for each specific video model
  • Choose the right aspect ratio and settings per model
  • Use motion keywords that each model responds to best
  • Avoid common mistakes that reduce output quality

What makes video model quality different?

Each AI video model is trained differently and responds to prompts in unique ways. What works perfectly in Veo might fail in Runway. Optimal prompt length, motion keywords, aspect ratios, and settings vary by model. Think of it like speaking different dialects — the same idea needs slightly different phrasing depending on who's listening.

Common use cases

  • Cinematic projects: Master Veo's realism settings for film-quality output
  • Motion-controlled scenes: Learn Runway's camera language for precise movements
  • Depth-rich visuals: Use Luma's volumetric strengths for atmospheric content
  • Social media: Optimize Pika for vertical formats and quick engagement
  • Character animation: Get better facial expressions from Kling with specific prompts
  • Multi-shot narratives: Use Sora's consistency features for connected scenes

Optimize each model step by step

STEP 1: Select your model

  • On web: Go to picsart.com/video-models → Choose the model you want to optimize
  • On mobile: Open Picsart → AI Video → Select your target model
Open video models

STEP 2: Configure model-specific settings

Adjust settings based on which model you're using:

  • Veo: Use 16:9 or 2.39:1 for cinematic work, keep prompts detailed (30-50 words), mention lighting and physics
  • Runway Gen 4: Focus on camera terms (dolly, pan, orbit), use shorter prompts (15-25 words), specify motion direction
  • Luma Ray 2: Use depth keywords (foreground, background, layers), works best in 16:9, emphasize atmosphere and space
  • Pika: Keep prompts short (10-15 words), use 9:16 for social, describe action clearly without camera terms
  • Sora 2: Write narrative-style prompts (40-60 words), use 16:9 or wider, describe scene transitions
  • Kling 3.0: Describe facial expressions and emotions, use medium shots for characters, mention specific gestures

STEP 3: Write model-optimized prompts

Enter prompts using language that matches your model's strengths. Veo responds to realism cues like "natural lighting" and "realistic physics." Runway understands camera language like "slow dolly forward." Luma recognizes depth terms like "deep background" and "layered composition." Use the vocabulary each model was trained to understand.

STEP 4: Review and refine

Check your output for model-specific quality markers: Not getting quality results? The issue is usually prompt-model mismatch, not the model itself. Try adjusting your language to match the model's training focus.

  • Veo: Look for realistic physics, natural lighting, smooth motion
  • Runway: Check camera movement precision and subject tracking
  • Luma: Verify depth separation and volumetric effects
  • Pika: Confirm quick, punchy motion appropriate for social
  • Sora: Review scene-to-scene consistency and narrative flow
  • Kling: Examine facial expressions and character movement quality
Create AI video

Tips for best results

💡 Match prompt length to model expectations

Veo and Sora handle detailed 40-60 word prompts well. Runway and Luma work better with focused 15-30 word prompts. Pika needs concise 10-15 word descriptions. Longer isn't better — it's about matching the model's training. Too much detail confuses fast models; too little detail gives cinematic models nothing to work with.

💡 Use aspect ratios each model was trained for

Cinematic models like Veo and Sora perform best in 16:9 or wider. Social models like Pika are optimized for 9:16 vertical. Forcing a model into an unusual aspect ratio often reduces quality — the training data was mostly in specific formats, so stick to those when quality matters.

💡 Learn each model's motion vocabulary

Runway responds to camera terms (dolly, pan, tilt, orbit). Veo understands physics language (falling, flowing, drifting). Pika works with action verbs (jumping, spinning, zooming). Using the right vocabulary for each model dramatically improves motion quality and control.

💡 Test settings changes one at a time

When optimizing a model, change only one variable per test — aspect ratio, prompt length, or motion keywords, not all three. This lets you identify what actually improves quality versus what's just noise. Build your personal playbook of what works for each model through methodical testing.

Model optimization guide

  • Veo 3.1 optimal settings: Aspect ratio: 16:9 or 2.39:1. Prompt length: 30-50 words. Keywords: natural lighting, realistic physics, cinematic, detailed environment. Best for: Photorealism and natural motion.
  • Runway Gen 4 optimal settings: Aspect ratio: 16:9. Prompt length: 15-25 words. Keywords: dolly forward, pan left, orbit, track, crane up. Best for: Controlled camera movements.
  • Luma Ray 2 optimal settings: Aspect ratio: 16:9. Prompt length: 20-35 words. Keywords: deep background, layered, foreground, depth, volumetric, atmospheric. Best for: Depth and space.
  • Pika optimal settings: Aspect ratio: 9:16 (vertical). Prompt length: 10-15 words. Keywords: action verbs, quick, dynamic, energetic. Best for: Fast social content.
  • Sora 2 optimal settings: Aspect ratio: 16:9 or wider. Prompt length: 40-60 words. Keywords: narrative flow, scene transition, consistent, evolving. Best for: Multi-shot storytelling.
  • Kling 3.0 optimal settings: Aspect ratio: 16:9 or 9:16. Prompt length: 25-40 words. Keywords: facial expression, emotion, gesture, character, movement. Best for: People and animation.

Frequently asked questions

Each model was trained on different datasets and optimized for different goals. Veo learned from cinematic footage and emphasizes realism. Runway trained on camera-controlled shots and responds to motion language. Luma focused on depth-rich scenes. Your prompt might be perfect for one model's training but miss the mark for another. Quality differences are features, not bugs.

It varies by model. Veo and Sora handle 40-60 words well and benefit from detail. Runway and Luma work best with 15-30 words focused on specific elements. Pika needs concise 10-15 word prompts describing clear action. When in doubt, start medium-length and adjust based on results — too long confuses fast models, too short gives cinematic models nothing to work with.

Yes, dramatically. Cinematic models like Veo and Sora perform best in 16:9 or wider formats because they trained on film and TV footage. Pika is optimized for 9:16 vertical because it focuses on social media. Kling and Runway handle both well. Using an unusual aspect ratio often reduces quality because the model has less training data in that format.

Use motion keywords the model was trained to understand. For Runway, use camera terms like "slow dolly forward" or "smooth pan right." For Veo, describe physics: "gently falling," "slowly drifting." For Pika, use action verbs: "spinning," "zooming." Avoid generic motion words like "moving" — be specific and use the vocabulary each model responds to.

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