Image-to-Video Generation
The Image-to-Video node takes a still image and animates it into a video clip. It uses the same 12 engines as Text-to-Video, with the addition of an image input for visual reference. The default is Kling 3.0.Inputs
Outputs
Available engines
How it works
- An image is received from the input handle (from Image Generation, Media Upload, etc.)
- A text prompt describes the desired motion and action
- The AI model animates the image according to the prompt
- The resulting video clip is output
Configuration options
Same as Text-to-Video — engine selection and all advanced options apply identically.End-frame support
Kling 3.0, Kling 3.0 Pro, Kling 2.6, and Kling 2.6 Pro accept an optional end frame image. When provided, the model interpolates between the start and end frames to give you precise control over how the shot resolves.Credit cost
Same pricing as Text-to-Video. Cost = per-second rate x duration.Tips
- The text prompt should describe motion — what should move, how the camera should pan, etc.
- Combine with Image Generation for a two-step pipeline: generate image → animate to video
- Image-to-video typically produces more consistent results than text-to-video since it has a visual reference
- Works especially well in multi-shot pipelines (Parse Scenes → Split → Image Gen → Image-to-Video → Collect)
Example use cases
- Animating AI-generated character images into scenes
- Adding subtle motion to product shots
- Creating video from illustrated storyboard frames