Preserve the composition
Use an approved frame as the anchor instead of asking a text prompt to rediscover the entire shot.
Image-to-video workflow for editors
Animate a still image, storyboard panel, product frame, or timeline reference with leading AI video models—without rebuilding the workflow on a separate generation site.
Generate the asset. Keep control of the cut.
Why this workflow
Text-to-video is useful for exploration, but it can introduce more randomness than a real edit can absorb. Starting from an image gives the model a concrete subject, composition, lighting direction, and visual identity.
SceneNova turns that approach into an editing workflow. Select or import the visual anchor, describe only the movement you need, choose a suitable model, and generate a take that can move back into the sequence.
What changes
Use an approved frame as the anchor instead of asking a text prompt to rediscover the entire shot.
Focus the prompt on camera movement, subject action, atmosphere, and timing because the image already defines the scene.
Try different motion engines without exporting the same reference into a collection of unrelated websites.
How it works
Use a timeline frame, generated image, photograph, storyboard panel, or product visual.
Specify what moves, how the camera behaves, and what should remain visually stable.
Balance reference adherence, motion quality, generation speed, and credit cost for the shot.
Place the best take against the surrounding sequence and trim it based on story and rhythm.
Built for real cuts
Questions
Image-to-video models use a still image as the visual starting point and generate motion over time based on your direction and model settings.
It often provides stronger visual anchoring because subject, composition, and style already exist in the input image. Motion and fine details can still vary between generations.
Yes. SceneNova is designed for frame-led workflows connected to Premiere Pro, Final Cut Pro, and DaVinci Resolve.
You can access supported models from one SceneNova workspace and select the engine that fits each generation rather than maintaining a separate workflow for every service.
It stays local unless you deliberately submit it to a cloud generation model. Assets chosen for cloud generation are uploaded for that request.
SceneNova
Choose the visual anchor, direct the movement, and keep the result close to your timeline.