video-prompting-guide

Imported from halt-catch-fire/mutiny (guides/prompting/video-prompting-guide/SKILL.md). Install upstream with npx skills add halt-catch-fire/mutiny --skill video-prompting-guide. Copyright stays with the author.

Install the belt CLI skill: npx skills add belt-sh/cli

Video Prompting Guide

Best practices for writing effective AI video generation prompts via inference.sh.

Video Prompting Guide

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Well-structured video prompt
belt app run google/veo-3-1-fast --input '{
  "prompt": "Cinematic tracking shot of a red sports car driving through Tokyo at night, neon lights reflecting on wet streets, rain falling, 4K, shallow depth of field"
}'

Prompt Structure Formula

[Shot Type] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Technical]

Example Breakdown

"Slow motion close-up of coffee being poured into a white ceramic cup,
steam rising, morning sunlight streaming through window, warm color grading,
cinematic, 4K, shallow depth of field"

• Shot Type: Slow motion close-up
• Subject: Coffee
• Action: Being poured
• Setting: White ceramic cup, window
• Lighting: Morning sunlight
• Style: Warm color grading, cinematic
• Technical: 4K, shallow depth of field

Shot Types

Camera Movements

Lighting Keywords

Style Keywords

Cinematic Styles

cinematic, film grain, anamorphic lens, letterbox,
shallow depth of field, bokeh, 35mm film,
color grading, theatrical

Visual Aesthetics

minimalist, maximalist, vintage, retro, futuristic,
cyberpunk, steampunk, noir, pastel, vibrant,
muted colors, high contrast, desaturated

Quality Keywords

4K, 8K, high resolution, photorealistic,
hyperrealistic, ultra detailed, professional,
broadcast quality, HDR

Prompt Examples by Use Case

Product Demo

belt app run google/veo-3-1-fast --input '{
  "prompt": "Smooth tracking shot around a sleek smartphone on a white pedestal, soft studio lighting, product photography style, reflections on surface, 4K, shallow depth of field"
}'

Nature Documentary

belt app run google/veo-3-1 --input '{
  "prompt": "Slow motion extreme close-up of a hummingbird hovering at a red flower, wings in motion blur, shallow depth of field, golden hour lighting, National Geographic style"
}'

Urban Lifestyle

belt app run google/veo-3 --input '{
  "prompt": "Tracking shot following a cyclist through busy city streets, morning rush hour, natural lighting, handheld camera feel, documentary style, authentic and candid"
}'

Food Content

belt app run bytedance/seedance-2-0 --input '{
  "prompt": "Close-up of chocolate sauce being drizzled over ice cream, slow motion, steam rising, soft lighting, food photography style, appetizing, commercial quality",
  "generate_audio": true
}'

Tech/Futuristic

belt app run xai/grok-imagine-video --input '{
  "prompt": "Futuristic control room with holographic displays, camera slowly pans across the space, blue and cyan lighting, sci-fi atmosphere, Blade Runner aesthetic, 4K",
  "duration": 5
}'

Common Mistakes to Avoid

Model-Specific Tips

Google Veo

• Excels at realistic, cinematic content
• Supports audio generation (Veo 3+)
• Best with detailed, professional prompts
• Frame interpolation available in 3.1

Seedance

• Strong at dance and human motion
• First-frame control available
• Good for consistent character motion
• Works well with reference images

Wan 2.5

• Best for image-to-video
• Animates still images naturally
• Good motion prediction
• Works with any image style

Grok

• Good general-purpose video
• Configurable duration (5-10s)
• Creative interpretations
• Works well with abstract concepts

Workflow: Iterative Prompting

# 1. Start with basic prompt
belt app run google/veo-3-1-fast --input '{
  "prompt": "A woman walking through a forest"
}'

# 2. Add specificity
belt app run google/veo-3-1-fast --input '{
  "prompt": "Medium tracking shot of a woman in a red dress walking through an autumn forest"
}'

# 3. Add style and technical details
belt app run google/veo-3-1-fast --input '{
  "prompt": "Cinematic medium tracking shot of a woman in a flowing red dress walking through an autumn forest, golden hour sunlight filtering through leaves, shallow depth of field, film grain, 4K"
}'

Related Skills

# Generate videos
npx skills add inference-sh/skills@ai-video-generation

# Google Veo specific
npx skills add inference-sh/skills@google-veo

# Generate images for image-to-video
npx skills add inference-sh/skills@ai-image-generation

# General prompt engineering
npx skills add inference-sh/skills@prompt-engineering

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Browse all video apps: belt app list --category video

Documentation

• Running Apps - How to run apps via CLI
• Video Generation Guide - Comprehensive video guide