Login to generate and view your high-quality AI videos.
Style Transfer Edit
Convert live-action city footage into anime-inspired visuals while preserving camera movement and pacing
Consistency-Preserving Edit
Restyle the shot into a luxury fashion film look while keeping the same character identity and walking rhythm
Atmospheric Transformation
Turn a daylight street scene into a rainy cyberpunk night sequence without changing shot timing
Start with a short source clip that has one clear transformation goal.
Explain what should change and what must remain consistent.
Use reference language for style, identity, wardrobe, atmosphere, or shot feeling.
If the task no longer depends on source footage, move to text-to-video or image-to-video instead.
Choose video to video when you need continuity from source footage. Choose image to video when one still frame is enough to guide the output.
| Dimension | Video to Video | Image to Video |
|---|---|---|
| Starting asset | A source video or reference clip | A still image or keyframe |
| Best for | Style transfer, continuity, source-preserving edits | Photo animation, visual anchor tests, simple motion expansion |
| When to switch | Switch when you no longer need source timing or continuity | Switch when a single image cannot capture the motion you need |
Video-to-video workflows are most useful when you need controlled transformation instead of fresh generation. The key advantage is preserving structure while changing style, look, or identity cues.
Video to video AI is best for restyling footage, preserving motion continuity, applying source-guided edits, and keeping more control over timing than prompt-only workflows.
In practice they often overlap. Video to video is usually the clearer search phrase, while reference to video can describe the same source-guided transformation workflow in product language.
Use video to video when the original shot rhythm, movement, or continuity matters. Use image to video when a single frame is enough to guide the result.
Yes. Video to video is often the better workflow for style transfer and character consistency because it starts from source footage instead of trying to rebuild motion from a single image or pure text.
Short clips with one clear action or transformation goal usually work best. Cleaner footage makes it easier for the model to preserve timing and structure while applying the requested changes.
Usually yes. Reference-guided workflows already inherit a lot from the source clip, so shorter prompts that clearly describe what should change and what should stay consistent tend to work better.
Use a still image when one frame is enough to define the scene.
Explore image to videoStart from scratch when you no longer need source footage.
Explore text to videoReview a model that fits more source-guided transformation tests.
Review Wan 2.6See how the model fits into controlled workflow testing.
Learn about Happy HorseEstimate credits for source-guided transformation runs.
View pricing