How do I write detailed prompts for AI video generation?
Break your scene into sections: setting (where), camera (angle and movement), subject (who or what), action (what happens), lighting (mood and sources), and colors (palette). This structured approach helps the generator interpret your vision more clearly than a single long sentence.
AI Video Generator Claude
Detailed scene description
Input
Scene: a modern coffee shop interior. Camera: static mid-shot facing the barista counter. Action: barista pours latte art into a ceramic cup, steam rises. Lighting: warm overhead pendant lights. Colors: warm browns and cream tones.
Expected output
A detailed coffee shop scene showing a barista pouring latte art with warm ambient lighting.
Structured how-to sequence
Input
Step 1: A pair of hands places a small potted succulent on a desk. Step 2: Hands add a layer of decorative pebbles around the base. Step 3: A small watering can pours a gentle stream of water onto the pebbles. Top-down view throughout.
Expected output
A step-by-step plant care video showing potting and watering actions from a top-down perspective.
Analytical visual concept
Input
A 3D bar chart rises from a grid floor, each bar representing quarterly revenue, the tallest bar glows gold, camera orbits slowly around the chart, dark background with subtle grid lines.
Expected output
An analytical data visualization clip showing a 3D bar chart with an orbiting camera and highlighted data point.
Create videos from structured, detailed text prompts by organizing scene elements into clear sections like setting, camera, action, and lighting.
Use structured descriptions
Organize your prompt by scene elements: setting, camera, action, lighting, and colors for clearer results.
Leverage detailed prompt writing
Apply the same careful description technique you would use when instructing an AI assistant.
Get precisely described outputs
Break down the scene into components to guide the tool toward the visual you want.
How It Works
1
Describe the scene
Describe the desired scene and motion.
2
Choose settings
Choose the available generation settings.
3
Generate and download
Generate, review, and download a suitable result.
Structuring detailed prompts
Break your prompt into logical sections: subject, setting, camera, action, and lighting for best results.
Input Constraints
Very long or overly complex prompts may not be fully interpreted
Do not use specific model names, version numbers, or capability claims
Review results and iterate on prompt structure for improvement
Practical Tips
Separate scene elements with clear labels like Camera, Action, Lighting
Describe one main action rather than multiple simultaneous events
Include color palette and mood to guide the visual direction
Privacy
Do not upload personal or sensitive material unless you have permission to use it.
Usage Rights
Confirm that you have the rights needed for the inputs and intended use of the result.
Prompt recipes
Copy a structure, then adjust the subject, lighting, camera, and output details for your own result.
Product demo with annotations
Subject: A smartphone lying flat on a white desk. Camera: Top-down static shot. Action: Icons and labels appear around the phone highlighting features. Lighting: Bright diffused studio lighting. Colors: White, silver, and subtle blue accents.
Separates each visual element into a labeled section, making it easy to adjust individual components without rewriting the entire prompt.
Narrative cooking scene
Setting: A rustic kitchen with wooden counters and hanging copper pots. Camera: Over-the-shoulder following the chef's hands. Action: Chef chops garlic and adds it to a hot pan, oil sizzles. Lighting: Natural window light from the left. Colors: Warm earth tones with green herbs as accents.
Uses setting, camera angle, action sequence, lighting direction, and color palette to build a cohesive scene with clear mood.
Abstract tech visualization
Subject: A network of glowing blue nodes connected by lines. Camera: Slow circular orbit around the network. Action: New nodes appear and connect, pulses of light travel along the lines. Lighting: Dark background with nodes as light sources. Colors: Electric blue and cyan with dark navy background.
Structures the abstract concept into clear visual components, motion, and lighting that guide the generation.
Outdoor establishing shot
Setting: A coastal cliff at golden hour. Camera: Wide shot, slow pan from left to right. Action: Waves crash against the rocks below, seabirds fly across the frame. Lighting: Warm golden sunlight from the horizon. Colors: Deep blue ocean, warm orange sky, grey rocks.
Breaks down a nature scene into setting, camera movement, environmental action, lighting time, and color palette for a cinematic feel.
Educational diagram animation
Subject: A cross-section diagram of a human heart. Camera: Slow zoom into the diagram. Action: Arrows appear showing blood flow direction, labeled chambers highlight one by one. Lighting: Flat educational lighting, no shadows. Colors: Red for arteries, blue for veins, neutral background.
Structures educational content with clear subject, camera move, annotation actions, appropriate lighting, and functional color coding.
Character emotion study
Subject: A person's face in close-up, neutral expression shifting to a smile. Camera: Static mid-close-up, eye level. Action: Slow transition from neutral to smile over three seconds. Lighting: Soft key light from 45 degrees, subtle fill light. Colors: Natural skin tones, neutral grey background.
Organizes a character study with precise action timing, camera position, professional lighting setup, and color neutrality for focus on emotion.
Best use cases
Match the workflow to the input you have and the result you need before opening the generator.
Use case
Best input
Expected result
Tool
Professional product videos
Structured prompts with clear camera, lighting, and color sections
Polished product clips for marketing or e-commerce
Text to Video with labeled prompt structure
Educational or tutorial content
Step-by-step prompts with camera angle and action sequences
Clear instructional clips for courses or guides
Text to Video with sequential action descriptions
Data visualization clips
Analytical prompts with chart types, camera orbits, and highlight actions
Animated charts or graphs for presentations
Text to Video with structured visual element descriptions
Cinematic scene drafts
Detailed prompts with setting, mood, lighting, and camera movement
Establishing shots or mood clips for creative projects
Text to Video with comprehensive scene breakdowns
Professional product videos
Input: Structured prompts with clear camera, lighting, and color sections
Result: Polished product clips for marketing or e-commerce
Tool: Text to Video with labeled prompt structure
Educational or tutorial content
Input: Step-by-step prompts with camera angle and action sequences
Result: Clear instructional clips for courses or guides
Tool: Text to Video with sequential action descriptions
Data visualization clips
Input: Analytical prompts with chart types, camera orbits, and highlight actions
Result: Animated charts or graphs for presentations
Tool: Text to Video with structured visual element descriptions
Cinematic scene drafts
Input: Detailed prompts with setting, mood, lighting, and camera movement
Result: Establishing shots or mood clips for creative projects
Tool: Text to Video with comprehensive scene breakdowns
Limitations to know before generating
Very long prompts with many sections may not have all elements interpreted accurately.
Complex simultaneous actions may not render as clearly as sequential descriptions.
Structured prompts require more writing effort than simple conversational descriptions.
Label-based organization may feel less natural for casual or quick generation tasks.
Generated results are still approximations and may not match every detailed specification.
Always review output and iterate on prompt structure if initial results miss key elements.
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