Video Prompting Guide
Best practices for writing effective AI video generation prompts via inference.sh.
Quick Start
Requires inference.sh CLI (infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools
infsh login
Well-structured video prompt
infsh 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"
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Shot Type: Slow motion close-up
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Subject: Coffee
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Action: Being poured
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Setting: White ceramic cup, window
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Lighting: Morning sunlight
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Style: Warm color grading, cinematic
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Technical: 4K, shallow depth of field
Shot Types
Shot Type Description Use For
Wide shot Shows entire scene Establishing location
Medium shot Waist-up framing Conversations, actions
Close-up Face or detail Emotion, product detail
Extreme close-up Single feature Drama, texture
Aerial shot Bird's eye view Landscapes, scale
Low angle Camera looking up Power, grandeur
High angle Camera looking down Vulnerability
Dutch angle Tilted camera Unease, tension
POV shot First person view Immersion
Camera Movements
Movement Description Effect
Tracking shot Camera follows subject Dynamic, engaging
Dolly in/out Camera moves toward/away Focus, reveal
Pan Horizontal rotation Survey scene
Tilt Vertical rotation Reveal height
Crane shot Vertical + horizontal Dramatic reveal
Handheld Slight shake Realism, urgency
Steadicam Smooth following Professional, cinematic
Zoom Lens zoom in/out Quick focus change
Static No movement Contemplation, stability
Lighting Keywords
Keyword Effect
Golden hour Warm, soft, romantic
Blue hour Cool, moody, twilight
High key Bright, minimal shadows
Low key Dark, dramatic shadows
Rim lighting Subject outlined with light
Backlit Light from behind subject
Soft lighting Gentle, flattering
Hard lighting Sharp shadows, contrast
Neon Colorful, urban, cyberpunk
Natural lighting Realistic, documentary
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
infsh 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
infsh 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
infsh 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
infsh app run bytedance/seedance-1-5-pro --input '{ "prompt": "Close-up of chocolate sauce being drizzled over ice cream, slow motion, steam rising, soft lighting, food photography style, appetizing, commercial quality" }'
Tech/Futuristic
infsh 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
Mistake Problem Better Approach
Too vague "A nice video" Specify shot, subject, style
Too complex Multiple scenes One scene per prompt
No motion Static description Include camera movement or action
Conflicting styles "Minimalist maximalist" Choose one aesthetic
No lighting Undefined mood Specify lighting conditions
Model-Specific Tips
Google Veo
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Excels at realistic, cinematic content
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Supports audio generation (Veo 3+)
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Best with detailed, professional prompts
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Frame interpolation available in 3.1
Seedance
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Strong at dance and human motion
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First-frame control available
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Good for consistent character motion
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Works well with reference images
Wan 2.5
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Best for image-to-video
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Animates still images naturally
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Good motion prediction
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Works with any image style
Grok
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Good general-purpose video
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Configurable duration (5-10s)
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Creative interpretations
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Works well with abstract concepts
Workflow: Iterative Prompting
1. Start with basic prompt
infsh app run google/veo-3-1-fast --input '{ "prompt": "A woman walking through a forest" }'
2. Add specificity
infsh 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
infsh 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@agent-tools
Browse all video apps: infsh app list --category video
Documentation
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Running Apps - How to run apps via CLI
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Video Generation Guide - Comprehensive video guide