Video Settings

Complete technical reference for all Video Gen BV settings, AI models, and creative controls.

AI Video Models

Video Gen BV offers 4 AI models, each optimized for different use cases:

Google Veo 3.1

• Quality: Highest quality, cinematic output
• Special Features: Reference-to-video mode, optional AI audio generation
• Best For: Premium content requiring highest quality, projects needing audio, character consistency across frames

Kling Video v3 Pro Turbo

• Quality: High-quality with fast generation speed
• Special Features: Fastest generation time
• Best For: Quick iterations, rapid prototyping, general-purpose videos, time-sensitive projects

WAN 2.7

• Best For: Budget-conscious projects, videos requiring audio without premium cost, SD/HD content

Luma Dream Machine Ray2

• Quality: Stylized, artistic results
• Special Features: Start/end frame motion control, ultrawide formats
• Best For: Artistic videos, motion-controlled animations, ultrawide/ultra-portrait formats

Video Styles

Choose from 9 professional video styles to match your content needs:

Style Categories

Cinematic Styles

• Realistic: Photorealistic rendering with natural lighting and details
• Cinematic: Movie-quality composition with dramatic lighting and depth
• Documentary: Natural, observational style with authentic feel

Creative Styles

• Animated: Cartoon-style animation with vibrant colors and smooth motion
• Music Video: Dynamic, energetic aesthetic with rhythm-focused editing
• Product Demo: Clean, professional showcase emphasizing product features

Technical Styles

• Drone Shot: Aerial perspective with smooth aerial movements
• Time-lapse: Accelerated motion showing passage of time
• Slow Motion: Detailed slow-speed movement capturing fine details

Color Themes

9 color themes to set the visual mood of your videos:

Video Dimensions

Aspect Ratio Options

Different aspect ratios optimized for various platforms:

Resolution Options

Resolution Tiers

Resolution Cost Impact

Models with Resolution Multipliers:

• WAN 2.7: 480p (1x), 720p (2x), 1080p (3x)
• Luma Ray2: 540p (1x), 720p (2x), 1080p (4x)

Models with Fixed Costs:

• VEO 3.1: All resolutions cost 40 credits/sec (or 80 with audio)
• Kling v3 Pro: All resolutions cost 14 credits/sec

Duration Options

Available durations vary by model and settings:

Duration by Model

Duration-Based Credit Calculation

Total credit cost = (credits per second) × (duration in seconds)

Examples:

• VEO 3.1, 1080p, 8s, no audio: 40 × 8 = 320 credits
• VEO 3.1, 1080p, 8s, with audio: 80 × 8 = 640 credits
• Kling v3 Pro, 720p, 10s: 14 × 10 = 140 credits
• WAN 2.7, 1080p, 10s: 30 × 10 = 300 credits
• Luma Ray2, 1080p, 5s: 80 × 5 = 400 credits

Reference Images

Upload reference images to guide the AI's visual output. Image limits and behavior vary by model.

Reference Image Limits

Upload Requirements

• Supported Formats: PNG, JPG, GIF, WebP
• File Size: Maximum 10MB per image
• Upload Method: Drag and drop or click to browse
• Processing: Images are analyzed before generation begins

Model-Specific Behavior

VEO 3.1 - Character Consistency

• Upload character or subject reference images
• AI maintains character appearance across frames
• Ideal for branded content with specific characters
• Reference-to-video mode activates with image uploads

Luma Ray2 - Motion Control

• First image: Starting frame composition
• Second image: Ending frame composition
• AI creates motion path between frames
• Precise control over beginning and end states

Kling v3 Pro & WAN 2.7 - Style Guidance

• Single reference for overall style and mood
• AI interprets visual style, lighting, and composition
• Does not guarantee exact replication

Best Practices

1. Use high-quality source images: Clear, well-lit, high-resolution references
2. Match your prompt: Reference images should align with text description
3. Consider model strengths: VEO for characters, Luma for motion paths
4. Test without first: Generate without references to see baseline quality
5. Iterate: Try different reference combinations for best results

Camera Movements

6 camera movement options for cinematic control:

Movement Types

Static

• Description: No camera movement, completely stable shot
• Use Cases: Product focus, talking head videos, detail shots
• Effect: Clean, professional, emphasizes subject without distraction
• Best With: Close-ups, medium shots

Pan

• Description: Horizontal rotation on a fixed axis
• Use Cases: Landscape reveals, following moving subjects horizontally
• Effect: Sweeping views, reveals scene elements side-to-side
• Best With: Wide shots, aerial views

Tilt

• Description: Vertical rotation on a fixed axis
• Use Cases: Revealing tall subjects, top-to-bottom views
• Effect: Dramatic reveals, architectural shots
• Best With: Wide shots, establishing shots

Zoom

• Description: Optical zoom in or out effect
• Use Cases: Drawing attention, creating tension, reveals
• Effect: Intensifies focus or provides context
• Best With: Close-ups (zoom in), wide shots (zoom out)

Dolly

• Description: Push in or pull out - camera moves toward/away from subject
• Use Cases: Immersive movement, following subjects
• Effect: Creates depth, draws viewer into scene
• Best With: Medium shots, tracking shots

Tracking

• Description: Camera follows subject movement
• Use Cases: Action sequences, following characters
• Effect: Dynamic, engaging, maintains focus on moving subject
• Best With: Medium shots, action scenes

Shot Types

4 fundamental shot types for composition control:

Shot Type Guide

Close-up

• Framing: Tight framing on subject, minimal background
• Use Cases: Emotion, detail emphasis, product features
• Effect: Intimate, focused, draws immediate attention
• Works Well With: Static, zoom, dolly movements
• Example Prompt: "Close-up of raindrops on a window, camera static"

Medium Shot

• Framing: Subject and some surrounding context visible
• Use Cases: General purpose, balanced compositions
• Effect: Natural, conversational, versatile
• Works Well With: Pan, tilt, tracking movements
• Example Prompt: "Medium shot of a person walking through a park, tracking camera"

Wide Shot

• Framing: Broad view showing full scene and environment
• Use Cases: Establishing shots, landscapes, context
• Effect: Expansive, contextual, scene-setting
• Works Well With: Pan, tilt, dolly movements
• Example Prompt: "Wide shot of a city skyline at sunset, slow pan from left to right"

Aerial

• Framing: Overhead perspective, bird's-eye view
• Use Cases: Landscapes, urban scenes, unique perspectives
• Effect: Dramatic, reveals patterns, grand scale
• Works Well With: Pan, tilt, dolly movements
• Example Prompt: "Aerial view of a beach, camera tilting down from horizon to sand"

Training & Brand Settings

Leverage your workspace's training data and brand profile for more contextual, brand-aligned video generation.

Training Data Integration

Training data provides the AI with deep knowledge about your brand, products, and industry for more informed video generation.

Training Data Types:

• Text content and documents (PDF, Word, etc.)
• Website content from URL scraping
• Q&A pairs about your brand
• Google Docs and Notion pages

Assignment System:

• Training data must be assigned to "Video Gen BV" in Workspace Training
• Only assigned data is used during generation
• Multiple training sources can be combined
• Character limits apply per workspace plan

Benefits:

• AI understands your brand's specific terminology and products
• Generates videos aligned with your brand's messaging and visual language
• Improves prompt interpretation with brand context
• Creates product demo videos using knowledge from training documents
• Ensures industry-specific accuracy in video content
• Influences scene composition, narrative, and subject matter

Example: If your training includes product documentation, the AI can accurately generate demo videos of your products with proper terminology and feature highlights, even from brief prompts like "demo video of our flagship product."

Brand Settings Integration

Brand settings provide the AI with your complete brand profile to guide video style, tone, and visual elements.

Brand Profile Components:

1. Brand Basics:

• Company name and description
• Primary brand color (hex value)
• Logo and visual identity

2. Brand Personality:

• Archetype: Hero, Creator, Explorer, Sage, Jester, Everyman
• Traits: Friendly, Professional, Bold, Trustworthy, Quirky, etc.
• Tone: Formal, Conversational, Witty, Inspirational, Empathetic

3. Market Position:

• Business model (B2B, B2C, Marketplace, Subscription, etc.)
• Target audience (Gen Z, Millennials, Gen X, Boomers, Executives, etc.)
• Unique selling proposition (Price, Quality, Innovation, etc.)

4. Brand Messaging:

• Core values (Integrity, Excellence, Innovation, etc.)
• Target emotions (Trust, Joy, Inspiration, Connection, etc.)
• Tagline and brand story

How Brand Settings Influence Video Generation:

• Colors: Brand colors inform color theme selection and visual palette
• Personality: Archetype and traits guide video style, pacing, and mood
• Audience: Target demographics influence scene composition and appeal
• Values: Core values ensure generated videos align with brand ethics
• Tone: Brand tone influences camera movement, pacing, and overall feel
• Messaging: Tagline and story provide narrative context

Example: A brand with "Bold" and "Cutting Edge" personality traits targeting "Gen Z" will receive more dynamic, fast-paced videos with vibrant colors, while a "Professional" brand targeting "Executives" will get more measured pacing with sophisticated compositions.

Setup Requirements

For Training Data:

1. Navigate to Workspace Settings → Training
2. Add training content (Text, Files, Web, Q&A, Google Docs, Notion)
3. Click "Assign" on training items
4. Select "Video Gen BV" from the assignment modal
5. Save assignments

For Brand Settings:

1. Navigate to Brand Settings (sidebar menu)
2. Complete all 4 sections:
   • Basics (name, color, logo)
   • Personality (archetype, traits, tone)
   • Market (business model, audience, USP)
   • Messaging (values, emotions, tagline, story)
3. Save each section

Usage:

• Enable "Use Training" toggle in Video Creator to apply training data
• Enable "Use Brand Settings" toggle in Video Creator to apply brand profile
• Both can be used together for maximum brand alignment
• Both are optional and can be enabled/disabled per generation

Combining Settings

Effective videos combine multiple settings for precise creative control:

Scenario 1: Social Media Promotional Video

• Model: Kling v3 Pro (fast, cost-effective)
• Style: Music Video
• Color Theme: Vibrant
• Duration: 5 seconds
• Aspect Ratio: 9:16 (Portrait for Instagram Reels)
• Resolution: 1080p
• Camera: Dolly push-in
• Shot Type: Medium shot
• Total Cost: 14 credits/sec × 5 sec = 70 credits

Scenario 2: Premium Brand Content (With Brand Integration)

• Model: VEO 3.1 with audio
• Style: Cinematic
• Color Theme: Brand (uses brand colors)
• Duration: 8 seconds
• Aspect Ratio: 16:9 (Landscape for YouTube)
• Resolution: 1080p
• Camera: Tracking
• Shot Type: Wide shot
• Reference Images: 2 brand images for consistency
• Use Training: Enabled (AI uses brand knowledge from training data)
• Use Brand Settings: Enabled (applies brand personality, tone, and colors)
• Total Cost: 80 credits/sec × 8 sec = 640 credits

Scenario 3: Budget-Friendly Product Demo

• Model: WAN 2.7
• Style: Product Demo
• Color Theme: Normal
• Duration: 10 seconds
• Aspect Ratio: 16:9 (Landscape)
• Resolution: 720p
• Camera: Static
• Shot Type: Close-up
• Audio: Included
• Total Cost: 20 credits/sec × 10 sec = 200 credits

Next Steps