Choose the right crop
Match the visible body to the movement. A head-and-shoulders image can suit a restrained portrait study, while an arm gesture needs enough room to show the arms and hands.
Take a portrait concept into a short character performance. Video to Video AI uses a reference video for movement and your image as the character starting point. Explore a head turn, greeting or change of pose, then inspect the generated result for changes to the face and other details.
Try portrait motionAn edited portrait can help you choose a visual direction before testing motion. Pair that image with a reference where the subject remains visible and the action is modest. This creates a new video; it is not a face-swap operation or a guarantee that your image will retain exact facial identity in every frame.
For a portrait study, choose a reference with similar shot size and a visible face. Watch turns, hair movement and hands near the face closely. If the face changes too much, try a simpler movement or a clearer image before adding a more elaborate prompt.
Use this site’s published image and video library for portrait styling and composition ideas. The cards can use different generation methods and should not be treated as identity-preservation demonstrations. Motion comparisons appear in the generator.
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Choose a motion reference with a readable face and one main action. For your own clip, sign in and upload an MP4 or MOV between 3 and 30 seconds and within 32 MB. Avoid beginning with frequent cuts or long periods where the face is hidden.
Upload your portrait or character image and compare its crop with the reference. Select one of the enabled Motion Control models and its supported output quality. For broader movement, prepare an image with more of the body visible.
Add a focused scene description, review Required Credits, and generate. Open the completed clip in Your results and inspect facial features, hair, clothing and movement across the whole video before choosing a version to keep.
Try a portrait introduction with a small head movement, or a character greeting with the upper body visible. Begin with a clear image and an uncomplicated background so you can see which details change during generation.
Image editing and motion generation answer different questions. Refine the still image when the design itself needs work; change the reference when the intended action is unclear. Review each video independently for facial consistency.
Match the visible body to the movement. A head-and-shoulders image can suit a restrained portrait study, while an arm gesture needs enough room to show the arms and hands.
Use an image where the face is clear and the subject is distinguishable from the background. Strong occlusion or a very unusual angle can make the result harder to compare.
Let the video guide the motion and use text for the intended scene. Asking for a different facial action or camera path at the same time can make an experiment harder to diagnose.
Compare how the face looks before and after a turn. Check that the character still suits your design, without assuming that a similar first frame guarantees identity throughout.
Hands crossing the face or touching hair can expose changing details. Inspect those frames and consider a simpler reference if the gesture becomes distracting.
A recognizable head movement does not guarantee a precise emotion or matching speech. Judge movement, appearance and facial expression as separate parts of the result.
No. This workflow combines a character image and a motion-reference video to generate a new performance. It does not replace a face inside the original clip frame by frame.
Exact identity is not guaranteed. Review facial features throughout the result, especially during turns, occlusions and fast movement.
You can use a supported character image, including an edited portrait. Choose a clear design with framing appropriate to the action and inspect the generated video separately from the still image.
Accurate dialogue transfer and lip synchronization are not promised by this motion-control page. Use the result as a character performance and handle speech requirements through an appropriate separate workflow.
Review reference visibility, image crop, selected model and output quality. The displayed quote uses rounded-up billable seconds; check Required Credits again after changing any of those choices.
A crop showing only the face leaves little body information for that action. Choose a character image that includes the limbs needed for the performance, or begin with a reference suited to a portrait crop.
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AI results can vary, so a completed result that differs from your expectations is not automatically treated as a technical failure. Eligible completed image tasks can be submitted for credit refund review using the refund option where available; approval is required. For a video or another issue, contact support@faceinhole.app with the task ID and details. A credit refund returns credits, not money to your payment method.
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