Motion Transfer is an AI powered tool that animates a character photo using the movement from a reference video. The photo supplies the appearance, while the video guides gestures, expressions, and body movement. Users can choose from a library of community or classic motion templates, or upload their own continuous video clip. The tool then generates a new character video that can be previewed and downloaded. The primary function is to transfer the motion of a recorded performance onto a static image, allowing for the creation of short animated clips without requiring manual keyframing or detailed timing descriptions. The workflow involves three main steps. First, the user selects a motion template or uploads a video, then adds a character photo. The crop of the photo should match the action: for example, include hands and elbows for a gesture, or the whole body for a dance. The motion can be previewed before selection. Second, the user chooses a model, opens settings, and selects a supported resolution. For certain models like Kling, additional options such as Match photo or Match video are available. The workspace displays an estimated credit cost based on model choice, resolution, and clip length. Third, the user signs in when prompted and generates the video with both inputs ready. The result appears in the My creations section, where it can be played, reviewed for face, hands, and pose transitions, and downloaded. Results can also be reopened from account history. Motion Transfer is suited for scenarios where a specific performance matters, such as the order of a gesture, the movement of a character, or the framing of a short clip. For example, a wave includes direction, timing, and the moment the arm returns to rest, details that are awkward to describe in text. The tool allows a reference clip to show the sequence directly. Users are advised to choose one complete action with a clear beginning and end, and to trim longer recordings to the continuous action before uploading. The tool includes a variety of ready made trends, such as Roadster AI, Ozil Goal AI, Money Spread AI, and Bad Times AI, which can be used as templates. Technical requirements include preparing two references, matching the crop to the action, and reviewing the credit estimate before generating. The workspace is designed to let users adjust settings to fit their balance of quality and cost.