--- id: sm-video-prompting-guide name: "video-prompting-guide" url: https://skills.yangsir.net/skill/sm-video-prompting-guide author: inferen-sh domain: ai-llm-engineering tags: ["ai-video-generation", "prompt-engineering", "text-to-video", "midjourney-video", "runwayml"] install_count: 6508 rating: 4.50 (260 reviews) github: https://github.com/inferen-sh/skills --- # video-prompting-guide > 提供视频内容创作的提示词（prompt）指导，帮助用户更有效地利用AI工具生成高质量、符合预期的视频素材。 **Stats**: 6,508 installs · 4.5/5 (260 reviews) ## Before / After 对比 ### 提升视频内容创作提示词质量 ## Readme # video-prompting-guide # Video Prompting Guide Best practices for writing effective AI video generation prompts via [inference.sh](https://inference.sh). ## Quick Start Requires inference.sh CLI (`infsh`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md) ``` 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" ``` - **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 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 - 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 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@infsh-cli ``` Browse all video apps: `infsh app list --category video` ## Documentation - [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI - [Video Generation Guide](https://inference.sh/blog/guides/video-generation) - Comprehensive video guide Weekly Installs4.4KRepository[inferen-sh/skills](https://github.com/inferen-sh/skills)GitHub Stars159First Seen6 days agoSecurity Audits[Gen Agent Trust HubPass](/inferen-sh/skills/video-prompting-guide/security/agent-trust-hub)[SocketPass](/inferen-sh/skills/video-prompting-guide/security/socket)[SnykPass](/inferen-sh/skills/video-prompting-guide/security/snyk)Installed onclaude-code3.5Kgemini-cli3.2Kcodex3.2Kamp3.2Kkimi-cli3.2Kgithub-copilot3.2K --- *Source: https://skills.yangsir.net/skill/sm-video-prompting-guide* *Markdown mirror: https://skills.yangsir.net/api/skill/sm-video-prompting-guide/markdown*