AI Video to Video API

An AI video to video API accepts footage to guide a generated video or supported transformation. The source can influence motion, appearance or scene structure, depending on the endpoint. It is a generative workflow, so you should inspect the output rather than expect unchanged source frames.

Not necessarily. Video references, generative edits, timeline rendering and video conversion are different capabilities. Check the chosen model for the exact operation and controls. If your task is trimming, joining clips or transcoding, use the appropriate media-processing step alongside generation.

Check the endpoint for accepted formats, duration, file size, resolution and reference count. Use a reachable URL where the API requires one. Choose a short clip containing the relevant action or composition rather than sending unrelated scenes that make the intended reference harder to follow.

Some models can follow movement or composition from a source video, but preservation is not exact across every model or request. State what should remain and test a simple transformation first. If the primary task is transferring a performance to a character image, compare Motion Control endpoints.

Only assume localized editing when the selected endpoint documents the necessary controls. A prompt-based transformation may also alter other parts of the scene. Check for supported object references, masks or editing modes and evaluate surrounding detail before adopting the workflow.

Ambiguous instructions, complex movement, occlusion and conflicting references can make temporal consistency harder. Try a shorter, clearer source clip and a narrower change. Compare output stability across models, and avoid simultaneously changing the subject, setting and motion when diagnosing an issue.

Audio behavior depends on the model: it may generate new audio, accept audio as a reference or return a silent result. Do not assume automatic preservation. If the original soundtrack must remain exact, plan a separate audio extraction and remux step in your media workflow.

Dedicated upscaling focuses on increasing resolution or enhancing existing footage. Generative video to video models can reinterpret content and change visual details. Use a dedicated video upscaler when the main requirement is enhancement, and use reference-driven generation when a creative transformation is intended.

Submit the chosen model and its video inputs to the documented PoYo generation endpoint. Save task_id and use status queries or a supported webhook to retrieve the completed result. Keep the source clip and settings with the job so you can compare results and avoid duplicate submissions.

The model and selected settings determine the billing unit. Some tiers charge output duration, while others also account for reference-video duration or quality options. Read the current pricing description carefully and estimate both input and output processing where applicable.

Choose Video to Video when existing footage should guide a scene or supported transformation. Choose Motion Control when a reference performance should drive a separate character image. Compare required inputs and subject preservation with the same representative assets before deciding.

Check the returned error against the documented URL, format, duration and size requirements. Confirm the source can be fetched without your browser login. Correct the input before retrying, and query the original task when the problem was a network timeout rather than a confirmed rejection.