Video generation is a powerful AI capability that transforms static images and/or text descriptions into dynamic content. With video generation now available in Scenario, understanding the fundamentals will help you integrate this feature effectively into your creative workflow.
What is AI Video Generation?
AI video generation uses advanced machine learning models to create short video clips based on either text prompts (text-to-video) or static images (image-to-video). Different models have been trained on different datasets of video content, allowing them to understand the relationship between visual elements and natural movement patterns.
Video generation capabilities include two primary approaches:
Text-to-Video (T2V)
Text-to-video generation creates video content based solely on textual descriptions. You provide a detailed prompt describing what you want to see, and the AI generates a video matching that description.
Requires no visual input, only text descriptions
Offers flexibility, but may not precisely match your intended style or exact visual concepts
Ideal for visualizing entirely new concepts quickly
Typically requires more detailed prompts for precise results
Image-to-Video (I2V)
Image-to-video generation animates existing static images, bringing them to life with natural movement while maintaining the visual style and composition of the original image.
Uses your existing image as a starting point
Maintains higher visual consistency with your original artwork and provides more predictable results than text-only generation
Can be guided with additional text prompts for specific motion
Example use case: A marketing professional has one product photo of a perfume bottle and wants to create an elegant video for social media, so they animate the image with subtle reflections and a gentle rotating movement.
Some models let you use multiple input images or frames (especially for the final frame). You may use the same frame for start and end positions, or use “Scene Elements“ to combine different elements. Some models also allow manually selecting (masking) specific areas to better guide the movement.
Key Considerations for Video Generation
When working with AI videos, keep these important factors in mind:
Duration & Resolution Tradeoffs
Most video generation models produce short clips (typically 5-12 seconds, sometimes longer) at resolutions ranging from 480p to 1080p. These limitations exist due to the computational complexity of generating consistent video content. Duration and resolution capabilities vary by model, with some optimized for higher quality at the expense of shorter duration, and others offering longer clips at lower resolutions.
Style Consistency
Video generation models can maintain the visual style of reference images or create content that matches style descriptions in your prompts. For the most consistent results:
Be explicit about the desired visual style in your prompts
When using image-to-video, ensure your reference image(s) have a clear, defined style
Consider how movement might affect the perception of style elements
Motion Control
Controlling the type and quality of motion is crucial for achieving your creative vision:
Specify camera movements in your prompts (e.g., "slow pan," "zoom in," "tracking shot")
Describe the desired motion of key elements (e.g., "hair gently blowing in the breeze")
Consider the physics of your scene (e.g., how fabric, liquid, or light might naturally move)
Prompt Crafting
Effective prompts are essential for getting the results you want:
Be specific about subjects, actions, and environment
Include details about lighting, atmosphere, and mood
Specify camera angles and movements
Reference visual styles or cinematography techniques when relevant
We highly recommend using Scenario’s “Prompt Spark” (prompt assistant tools) when generating videos - especially while you’re learning how to prompt and work with these models.
Prompt Spark helps you build well-structured prompts that include all the essential details: subject, movement, style, and camera behavior, ensuring more successful video results. (LINK)
Getting Started with Video Generation in Scenario
Scenario makes it easy to incorporate video generation into your creative workflow:
You can launch the Video Generation tools in several ways within Scenario:
From an individual image: Open the image you want to edit, click the three-dot icon in the top-right corner, and select "Send to / Video". This will open the tool with the image already loaded into the interface.
From any gallery view: Whether browsing generated images or exploring your library, hover over any image thumbnail and click the three-dot icon in the top-right corner to find the "Send to / Video" option.
Via the main navigation panel: Go to Video in the panel, to open the tool from scratch. No image will be pre-loaded. You can also find it under the "All Tools" page.
Direct link: Access the tool directly via this URL: https://app.scenario.com/videos
Once you’re in the video generation interface:
Select a Model: By default, Kling 2.0 will be loaded, but you can choose from dozens of video generation models based on your specific needs in the top-left section of the interface (see our "How to Choose a Model" guide for detailed comparisons).
Prepare Your Input: Craft a detailed prompt or select a high-quality reference image. Don’t forget to leverage the prompt assistance tools available (like Prompt Spark).
Generate, Review, and Iterate: Evaluate the results and refine your prompt or input image as needed (see the troubleshooting guide available in the Scenario KC).
Common Applications
Video generation opens up numerous creative possibilities across different fields. Below are example workflows - and potential models to test for each:
For Game Artists
Animate character concepts to visualize movement and personality (Minimax Video-01 Live)
Create dynamic environment previews from concept art (Veo 2)
Generate promotional content for game marketing (Pixverse V4.5)
Visualize special effects and abilities before implementation (Kling v2.0)
For Designers
Bring illustrations and graphic designs to life (Wan 2.1 I2V 720p)
Create animated versions of logos and brand elements (Lightricks ITX)
Develop dynamic mockups for client presentations (Framepack)
For Marketing Professionals
Transform product photography into engaging video content (Framepack)
Create eye-catching social media assets (Lightricks ITX)
Develop quick concept videos for campaign pitches (Luma Ray Flash 2 720p)
For Content Creators
Add motion to static artwork for portfolio enhancement (Wan 2.1 I2V 720p)
Create short animated sequences for larger projects (Minimax Video-01-Director)
Generate background elements for video productions (HunyuanVideo)
Conclusion
Video generation represents a new frontier in AI-assisted creativity, allowing you to bring static concepts to life with unprecedented ease. By understanding fundamentals, you're now ready to explore Scenario's video generation capabilities and incorporate this powerful tool into your creative workflow.
In the next articles, we'll dive deeper into model selection, prompt engineering strategies, and troubleshooting for getting the most out of video generation.
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