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EveryGen Video to Video
Plan a transformation around existing footage, with a specific goal for style, motion or visual consistency.
EveryGen AI is exploring video to video as a separate workflow for people who already have footage. Start by deciding what needs to change and what should remain: the movement, subject, framing or overall visual treatment. This is different from simply exporting the same clip in a new format. Provider support for video references, editing and duration limits still needs to be confirmed. The preview therefore provides a planning surface, not an upload or processing service. Keep a note of your source clip, intended change and permission to use the footage so the brief is ready for a supported tool.
This page is part of the independent EveryGen AI video generator preview. A useful brief should say what to preserve as well as what should move. Download your notes before leaving: this preview does not create an account, save projects online or remember unsaved changes after a reload. EveryGen AI will publish model availability and export rules before generation is offered.
Decide what the source clip is allowed to change
Video to video is not a format conversion. Begin with an existing clip and write two lists: preserve and transform. Preserve can include body motion, timing, face, product geometry or camera path. Transform can include wardrobe, environment, colour treatment or a controlled visual style. The source clip already owns the rhythm, so a good brief explains which parts should remain legible while the new treatment is applied. EveryGen has no upload or processing endpoint today; the preview lets you write a source note and a transformation goal without sending media anywhere.
Measure continuity across the whole clip
Choose a ratio that matches the source before testing a crop or reframing. Record source duration, frame dimensions, frame rate if available and the intended output. Then inspect the transformed take at the first, middle and last action. Look for identity drift, changed camera geometry, flickering textures, broken hands and style changes that appear only after the opening. If the provider offers strength, keyframe or reference settings, keep a small matrix instead of adjusting everything at once. Provider input rules, output limits and supported transformations are not confirmed for EveryGen.
Budget for source processing and failed passes
Video-to-video cost includes upload, storage, processing time, output transfer and failed transformation attempts. A short preview may still need several passes before the movement and identity agree. Mark each pass as source rejected, transformation rejected, technically usable or publishable after edit. This gives a better cost per accepted second than a simple request count. A future EveryGen product should explain retention, privacy, output storage and retry billing before asking for a clip. Until then, keep source references and notes local and use the downloadable brief as the handoff document.
Prompt study: preserve the motion path
Try this structure for a controlled transformation: “SOURCE_CLIP_A: a traveller walks along a grassy path, camera follows from behind. PRESERVE: walking pace, body silhouette, camera path and horizon. TRANSFORM: replace the setting with a rainy neon street, wet reflections and cool sodium light. Keep one continuous take, no new people, no change to the subject’s clothing silhouette.” The preserve list is as important as the style instruction.
Review the source and transformed takes together
Keep the original clip beside every transformed version and compare the same moments: the opening pose, the largest movement, the face or product edge and the final frame. Note whether a change came from timing drift, a new object, a crop, a style instruction or a provider error. If the transformation is intended for a social crop, review the vertical safe area as a separate output rather than assuming a landscape source will reframe cleanly. A short review log turns an aesthetic experiment into evidence you can use when choosing a workflow.
Prompt study
A visual brief to carry into this workflow

Same prompt, two endpoint runs
A small cabin sits at the far edge of a quiet mountain lake at dawn. Mist moves from left to right across the reflection. The camera makes one slow forward move and stops. Keep the shoreline, cabin count and horizon stable. One continuous shot, natural light, no text, no audio requirement.
Open the brief preview