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Independent video workspace

Make a Character From an Image Follow Your Video’s Movements

Yes—AI motion transfer uses a character image for appearance and your video as the action reference. Viggle Mix and Kling Motion Control document this workflow. Compare the options below, or prepare your own inputs in this independent studio.

  1. Character imageProvides the appearance
  2. Your motion videoProvides the action reference
  3. Generated videoReview the character and motion

This studio is independent of Higgsfield. Accounts, credits, models and support are separate.

The comparison is a third-party illustration, not a result generated by this studio or a test of your own image and video.

Keep source audio
0 / 10000
Balance: — creditsCost: —

Generated videos are stored for 7 days after completion. Download yours before it expires.

Model estimates follow your selected duration. Shorter model limits trim the selection; final credit quotes apply after input checks.

Inputs upload automatically for a credit quote. Only clicking Generate reserves credits and creates a task.

Countryside Duo

Prompt
Edit @video1 using these separate reference mappings. The dancer in the blue jersey, initially on the left: curly-haired woman in a red jacket from @image1. The dancer in the striped green/yellow jersey and cap, initially on the right: brown-haired man in a dark green sweatshirt and gray trousers from @image2. Move the scene to a quiet countryside village street with white cottages and a stone wall. Keep the motorcycle in its original position. Preserve the source movement, timing, camera path, framing, contact points and occlusion order. Track each subject through crossings and cuts; never merge identities or add people. Keep unlisted people and objects unchanged.

Countryside Duo

Original clips and effect examples from Higgsfield, shown as references. Generation uses the original and your photo; results may vary.

Which tools accept an image and your own motion video?

Choose by the job you need to do: body movement, a talking performance, or rebuilding a shot around its existing motion. These capabilities overlap; the table describes documented workflows rather than scoring their output quality.

Capability comparison from official pages · checked October 12, 2026
Tool / official sourceDocumented inputsWhen to consider itWhat to distinguish
Viggle MixRead official documentationCharacter image + uploaded motion video, or a motion template.Animating an image using a dance, walk or other reference action. The official page describes the Mix upload workflow.A template is optional; your own clip can supply the motion. This workflow description is not a guarantee of exact movement or identity.
Kling Motion ControlRead official documentationReference action video + character image; the guide covers VIDEO 3.0 and 2.6 Motion Control.Guiding body action and expressions from a motion reference, with model-specific framing and orientation settings.Image/video orientation affects the workflow. The 3.0 facial element feature references facial information; it does not supply clothing or props.
Runway Act-TwoRead official documentationDriving performance video + character image or character video.Speech, expressions and performance. Character images support hand/body gesture control when the gesture setting is enabled.Gesture control is unavailable with a character-video input. Image inputs can add camera/environment motion; do not assume the driving video’s scene is retained.
Higgsfield GenjutsuRead official documentationExisting video + reference images and a description of the intended changes.Its Motion Transfer page describes retaining motion, camera and timing while rebuilding the scene from references.Motion Transfer rebuilds the scene. Object Swap is documented separately for selected changes that preserve the rest of the shot.

Sources: the official pages linked in each row, all readable at the check date. This is a capability comparison, not a same-input test, quality ranking or promise about today’s plans and pricing.

Face consistency in AI video

Use your inputs in Genjutsu AI

The editor below the hero already starts in Motion transfer. Add a motion video and character reference, check the chosen model and settings, then review the credit quote before confirming generation. The current editor shows the applicable upload and clip limits.

Genjutsu AI is an independent service. The Higgsfield row describes Higgsfield’s own product; its accounts, credits and capability claims do not describe this studio.

Upload an image and motion video

How to start in this studio

  1. Choose motion transfer and add your video

    The editor starts in Motion transfer. Upload your own authorized video and select the continuous action you want the character to follow. Check the current clip limits in the editor.

  2. Add the character image and check the settings

    Add an authorized photo or original character image. Match its framing and proportions to the movement, then review the model, background and source-audio options. Image requirements can differ by model.

  3. Review the quote before confirming generation

    After signing in, valid inputs are uploaded and checked for a quote. Review the selected model, clip duration, resolution, any image preparation and total credits. Confirm only when the inputs and cost match your intent.

Choose what you want to preserve

Transfer an action to an image

Start with a character image and a separate action video. The goal is to guide the image character’s movement. A prompt describes your intent; it does not guarantee an exact copy of every pose or frame.

Replace a performer in an existing scene

Choose person replacement when the existing scene is the starting point and you want a different performer. Review what the selected model preserves. Motion transfer may use the image’s setting or reinterpret the scene.

Animate speech and expressions

Talking performance is a separate selection criterion. Check whether the workflow controls face, gestures and speech, and how its image and video inputs differ. Reusing a recording alone does not create accurate mouth movements.

Prepare inputs for the workflow you choose

A full-body dance and a waist-up talking performance need different references. Start with one clearly visible subject, then follow the selected tool’s framing guidance.

For body movement

Kling’s 2.6 guide recommends matching full-/half-body proportions, visible limbs and a clear, continuous single-subject action. Avoid obstructed movement and cuts. Check the selected version’s orientation settings.

Kling input guidance

For talking performance

Act-Two recommends a single, well-lit subject framed no wider than waist-up, with the face visible and no cuts. For gestures, keep hands visible at the start and use a starting pose similar to the character image.

Act-Two input guidance

For this studio, use an authorized reference with compatible proportions and readable features. Check the chosen model’s current image count, formats and duration limits in the editor. Other tools’ limits do not apply automatically.

Example instruction for a dance

Animate the character in @image1 using the steps in the reference video. Follow its rhythm and body direction. Do not add gestures that are absent from the clip.
Example instruction, not a generated result. Adapt it to your own authorized footage.

A practical input example: raise a hand, step, turn

Use a short, easy-to-review sequence before trying a long or complex performance. The following is a preparation example you can adapt.

Prepare the character
An original full-body character illustration with visible hands and feet, a readable face and proportions compatible with the performer.
Record the action
A continuous shot of one person raising a hand, taking a side step and turning. Keep the body in frame; choose a clip length accepted by the editor.
Check the generated result
Compare the order and timing of the three actions. Watch the hand shape, stepping foot and face during the turn, then inspect the background separately.

This is an input recipe and review plan, not a generated example or a promise of a specific result.

For an existing visual example, the character-replacement guide includes a previous app-generated anime case. It is a different workflow; its identity-reference photo is not shown and the clip is silent, so it does not prove this recipe, audio transfer or lip sync.

View the existing case and its limits

Review motion, identity, scene and sound separately

Action and timing

Play the input and output side by side. Check action order, direction, rhythm, foot contact and hands. A smooth-looking clip can still miss the reference action.

Appearance through turns

Inspect the face, clothing and body proportions throughout the clip, especially during turns and occlusion. One still image leaves unseen details for the model to interpret.

Background and camera

Compare the actual setting with the chosen background option. Check camera movement and framing separately from body movement; they need not follow the same source.

Recording and mouth movement

If the source has audio and Keep source audio is enabled, this studio can reuse the selected clip’s recording. Listen to the result and watch the mouth separately. Reusing audio is not voice cloning or lip-sync repair.

If something is wrong, identify the mismatch and adjust one input or setting at a time. Prefer a clearer, shorter action over repeated blind retries; another paid generation is not guaranteed to fix the problem.

Questions before you start

Genjutsu AI

Make a Character From an Image Follow Your Video’s Movements

Yes—AI motion transfer uses a character image for appearance and your video as the action reference. Viggle Mix and Kling Motion Control document this workflow. Compare the options below, or prepare your own inputs in this independent studio.

Upload an image and motion video