Explore. Create. Go viral.

GLOBAL LOCK: A vertical social-media AI tutorial video that alternates between a realistic selfie-style female UGC sample and a Black male presenter in a neon-lit studio explaining the workflow. The female sample subject is a young white woman with blonde hair in a messy bun or loose ponytail, light skin, minimal casual makeup, and simple tank-top / homewear styling, filmed in a natural bedroom or bathroom-like domestic space with handheld phone framing. The presenter is a Black man with long locs, dark sunglasses, a black hoodie, and a red-and-black cap, seated against a purple-magenta studio background with soft key lighting. Keep the bold caption style, tutorial pacing, UI overlays, and practical AI workflow tone consistent across the full video. Speech should be direct, confident, concise, and educational, with a close dry mic sound and punchy emphasis on tool names and workflow steps.

[00:00–00:06] Open with the realistic UGC sample: a blonde young woman in a dim home interior records herself casually with a phone while turning her head and adjusting posture. Large on-screen text reads “Ai is getting too realistic.” The framing feels like authentic selfie content rather than polished cinema. Use handheld phone movement, warm domestic lighting, slight front-camera distortion, and natural facial motion.

[00:00–00:06] The opening line should feel like a scroll-stopping hook rather than a full explanation, either spoken or text-led. Timing should match the appearance of the headline text.

[00:06–00:12] Cut to the presenter in the neon-lit studio. He looks straight into camera and begins explaining why this kind of realism is now possible. Medium close-up, centered framing, 35mm lens feel, purple-pink ambient lights behind him. He speaks with measured confidence, using finger-point gestures and slight head movement to underline his point.

[00:12–00:18] Return briefly to the female sample and phone interface visuals. Show a phone screen or app workflow where the realistic selfie clip appears as source material. Then cut back to the presenter. He explains that the process starts with the right prompt and avatar setup. Use clean UI insert shots with clear text boxes and small thumbnail previews.

[00:18–00:24] Show workflow diagrams and interface graphics featuring tools like Higgsfield Soul and a prompt-to-avatar flow. Arrows connect a prompt box to an AI avatar output, suggesting a pipeline for generating believable human UGC footage. The presenter narrates over these inserts, explaining the first generation step and how to make the output more realistic.

[00:24–00:31] Back in the studio, the presenter explains how to improve realism using newer models and more detailed instructions. He references versions such as VEO 3.1 and KLING 2.1 while interface screens display prompt blocks, output thumbnails, and node-style arrows. Keep the tutorial rhythm quick but readable, alternating between face-to-camera explanation and screen graphics.

[00:31–00:37] The presenter breaks down a more specific method: use two images or a first-frame / last-frame setup that showcases the action, then feed that into the generation model. UI inserts should show image panels labeled like first frame and last frame, plus a prompt box and output node. His delivery becomes more step-by-step and procedural here, emphasizing repeatable workflow rather than hype.

[00:37–00:42] Continue with the presenter in the neon setup explaining that the motion prompt must be detailed and that the process should be repeated or refined until the result feels convincing. More diagram overlays and prompt windows appear behind or between his talking-head shots. Keep direct eye contact, precise hand gestures, and a strong creator-teacher vibe.

[00:42–00:45] End with a final realistic UGC-style female clip under bright pink club-like light, smiling into the camera in a handheld selfie shot. The presenter or on-screen text gives a call to action such as “comment UGC.” The ending functions as proof of output quality while also inviting engagement.