Use this AI video-to-video generator with a motion reference and subject image to transfer action, pose, and camera rhythm into a new controlled clip.
AI video-to-video generation for motion transfer
Combine a motion clip and subject reference in one workflow, with validation, model selection, credit cost, and results handled together.
Kling 2.6 Motion
Kling 3 Motion
Video to Video generator
AI video-to-video motion examples
See how an AI video-to-video workflow uses existing motion as a guide, then transfers action, pose, timing, and camera rhythm to a new subject.
Versatile Video to Video workflows
Transfer motion with an AI video-to-video generator
Use references to guide body movement, camera rhythm, and scene energy while generating a fresh AI video.
Animate still images
Turn still portraits and product photos into short clips with believable motion and clean framing.
Bring artwork to life
Give illustrations, mockups, and campaign art a controlled camera move without rebuilding the whole scene.
Cinematic motion control
Control mood, camera direction, lighting, pacing, and motion from one prompt-led workflow.
Model choice built in
Switch between fast drafts, premium renders, image models, and motion models depending on the job.
FLUX 3 video-to-video workflow guide
Separate reference motion from the look of your new video
A FLUX 3 video-to-video search can mean restyling a clip, carrying a subject into a new scene, continuing an existing moment, or borrowing motion for another subject. Black Forest Labs announced video-reference and continuation capabilities for FLUX 3 Video, while this independent generator exposes the models currently available on the platform. Confirm the selected provider before treating an output as a FLUX 3 capability test.
Choose one readable reference action
Use a short clip with a clear start and finish, steady framing, and as few cuts as possible. Mark the motion landmarks that matter: a hand reaches, the torso turns, weight shifts, and the subject settles. A clean sequence gives the video-to-video model timing it can follow instead of forcing it to untangle an edit.
Match the subject to the opening pose
A full, sharp silhouette transfers more reliably than a cropped or hidden body. Pick an image whose starting pose is compatible with the first frame of the reference. Preserve only the identity anchors that matter—face, clothing, product shape, or character design—so the FLUX 3 video-to-video workflow has room to reproduce motion.
State what should transfer and what should change
Separate motion, camera, pace, setting, and appearance. Ask to keep the arm sequence and camera rhythm while replacing the performer and location, for example. This prevents a vague AI video remix request from copying the reference look when the goal is only to transfer its movement.
Compare motion landmarks before style
Review whether the new subject reaches the same key poses in the same order, whether feet and hands stay attached, and whether the camera changes at the intended moment. Only after the motion path works should you refine light, texture, or resolution. Save the actual model and settings with every comparison.
Diagnose reference, subject, and model separately
If limbs collapse, shorten the reference and choose a more compatible opening pose. If identity drifts, protect fewer but clearer visual anchors. If timing changes, remove cuts and background movement that compete with the main action. If continuation or reference-video controls are absent, verify the selected model instead of assuming every platform task uses the official FLUX 3 Video model.
Video to Video generator
How to use Video to Video
For AI video to video, choose a clean motion reference, add a clearly framed subject image, verify the supported model and resolution, then test the transfer before increasing quality.
1
Choose motion
Upload a short reference video or start from one of the sample motion clips.
2
Add the subject
Upload the person, character, product, or object image that should follow the motion.
3
Render the variation
Pick the model and resolution, then generate a new video guided by the reference motion.
Questions
AI video-to-video generator questions
What makes a good video-to-video motion reference?⌄
Use a short clip with one readable action, a visible subject, limited cuts, and steady framing. Heavy edits, hidden limbs, or several competing actions make motion transfer less predictable.
What subject image should I upload?⌄
Choose a sharp, well-lit person, character, product, or object with a clear silhouette. A pose reasonably compatible with the reference motion usually transfers more cleanly.
Which AI model powers video-to-video generation?⌄
Use the exact model shown in the generator. FLUX 3 Video includes an announced video-reference capability, but this page does not claim every selectable task uses the official BFL API.
How much does AI video to video cost?⌄
The generator shows an estimated platform credit cost before submission. Model, reference duration, output resolution, and plan can change the amount.
Can I remix any reference video?⌄
Only use clips, images, people, characters, logos, and artwork you own or have permission to transform. Do not impersonate people or reuse protected material without authorization.
Explore FLUX 3 Video
AI video tools and FLUX 3 rollout guide
Move between the canonical FLUX 3 guide, image-to-video, text-to-video, and independent platform pricing without opening duplicate keyword pages.
Transfer a reference motion into a new AI video
Add a short motion clip and a clear subject image, verify the available model and estimated credits, then generate a controlled video-to-video test.