Kling Motion Control 3.0 😳 Estos días estuve testeando Motion Control 3.0 desde la página oficial de Kling, ya que en Higgsfield no tienes la opción de "Elements" y en Freepik directamente no está disponible 🥲 En principio mantiene algo mejor la consistencia del rostro de tu influencer IA gracias a la función de Elements, pero tampoco le veo mucha diferencia al comparar los resultados con Motion Control 2.6 👀 Eso sí, si lo vas a probar, ten en cuenta esto: genera las imágenes con una sonrisa, de lo contrario la IA inventará tus dientes y queda muy feo 😅 Y como siempre, si quieres que te mande todos los prompts y una pequeña guía, comenta "ARIA" y te lo envío todo por DM 💕 (Solo funciona en Instagram)

Aria Cruz | Influencer AI

@soy_aria_cruz · Digital creator

INSTAGRAM · 2026-03-09Source

1.7Klikes

599comments

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Prompt

Create a vertical social-media tutorial video about using Motion Control and character-consistency tools to generate an AI influencer. The video should combine three types of footage: on-camera talking-head segments from a young woman presenter, short inserts of polished AI influencer example clips, and screen recordings of an AI video-generation interface showing motion-control settings and an elements/consistency feature. The overall style should feel like a practical creator tutorial made for Instagram or short-form platforms.

Open with the presenter centered in frame speaking directly to camera in a bedroom or home-studio setting, with clean lighting and simple overlay text introducing the tutorial topic. Then cut between several AI influencer result examples: studio fashion poses against pink or neutral backgrounds, outdoor fashion clips, and close-up portrait shots that demonstrate facial consistency across different scenes. The presenter should reappear throughout the video in different outfits or angles, using natural hand gestures and expressive delivery while explaining the workflow.

Include clear screen-capture segments of the software interface where the viewer can see motion-control settings, a character or face consistency panel, and the use of an elements feature to preserve the same influencer identity across outputs. The pacing should feel educational but social-first, with quick cuts, captions, and visual examples that support each point. Avoid celebrity references or public-figure likenesses. The focus should stay on tutorial clarity, creator workflow, and the polished presentation of an original AI influencer character.

How soy_aria_cruz Made This AI Influencer Motion Control Tutorial and How to Recreate It

This video is structured as a creator tutorial rather than a single visual concept clip. It combines talking-head explanation, software screen capture, and generated sample results to explain how motion-control tools affect the consistency of an AI influencer character. That mixed format is effective because it gives viewers both proof and process at the same time.

The strongest part of the video is its constant switching between explanation and demonstration. Instead of only describing the workflow, the creator shows multiple finished outputs: fashion poses, portrait clips, and outdoor examples featuring the same stylized digital persona. Those inserts make the discussion about face consistency easier to understand because viewers can compare outputs as the tutorial progresses.

The presenter segments also help keep the tutorial personal and platform-native. Different outfits, direct-to-camera delivery, and a quick, casual speaking style make the video feel tailored for Instagram rather than formal software education. That matters because the audience for this kind of content is usually creators looking for repeatable results, not general viewers seeking entertainment alone.

The screen recordings provide the practical core. By showing the actual interface and pointing to motion-control options and an elements feature, the video moves beyond vague advice into tool-specific guidance. Even if the viewer is only lightly familiar with AI video workflows, the interface shots make the tutorial feel grounded in a real production process.

Another useful aspect is the creator's emphasis on face quality and expression. The tutorial suggests that certain source-image choices, such as starting with a smiling portrait, can improve downstream results. This kind of advice fits the needs of AI influencer builders because small input decisions often determine whether the final output looks polished or uncanny.

Overall, the video works as a creator-facing educational asset. It shows how to combine sample outputs, process explanation, and interface walkthroughs into one compact lesson about maintaining a believable AI influencer identity across multiple generated clips.