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Ylenia Fedi

@yleintech

INSTAGRAM · 2026-03-09Source

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Prompt

GLOBAL LOCK: A vertical AI tutorial video combining a talking-head presenter and step-by-step static visual slides. The presenter is a young woman with long dark brown hair, fair skin, and a fitted white sweater, seated in front of a soft pink-lilac studio background. The tutorial is built around Google Gemini and shows how to use prompt packs for different photo-enhancement tasks: restoring and colorizing old family photos, turning a casual portrait into a passport-style headshot, improving male portrait accuracy using face-shape and hairstyle references, and combining multiple prompt blocks into one reusable master prompt. The overall design uses a teal-green slide background, floating image cards, arrows, and large numbered sections like #3, #4, and #5. Keep the educational tone, slide-driven pacing, and Gemini branding consistent throughout. Speech should be clear, direct, and creator-oriented, with close dry mic sound and paced social-video caption timing.

[00:00–00:04] Open with the presenter promising to show prompt sets for Google Gemini. She appears in a small talking-head frame over a teal instructional background while stacked text blocks and the Gemini logo appear beside her. The tone is straightforward and valuable, like a creator giving away useful workflow templates.

[00:00–00:04] The opening line should sound like a practical tutorial intro, emphasizing that the viewer will get prompts they can reuse. Sync should align with words such as “show you,” “prompts,” and “Google Gemini.”

[00:04–00:10] Transition into a slide showing old family photographs transforming into restored or colorized versions. Use card-like images of black-and-white family portraits rotating or swapping into cleaner, modernized images. The presenter explains that Gemini can help enhance old photos and restore image quality. Keep visual arrows and before/after relationships obvious.

[00:10–00:15] Move to a passport-photo conversion section. Show a casual female portrait as input and a clean, centered passport-style headshot as the result. The presenter explains how one of the prompts can convert an ordinary image into a more formal ID / passport-ready format. Use neutral backgrounds and clear face centering to emphasize the transformation.

[00:15–00:21] Introduce a face-structure and hairstyle guidance section for male portraits. Show diagrams of head shapes, hair reference charts, a celebrity-like sports portrait, and improved portrait outputs of the same male subject in different styles. The presenter explains that adding face shape and hair references improves likeness and overall accuracy. The comparison should feel systematic and instructional rather than purely aesthetic.

[00:21–00:27] Shift to another numbered section focused on prompt construction. Show a stylish woman’s portrait, a separate prompt block, and then a refined final output. The presenter explains how to combine image references and descriptive instructions to sharpen the final look. Text overlays and slide panels should imply that several separate prompt fragments are being organized into one effective workflow.

[00:27–00:35] End with full text-slide examples showing long prompt paragraphs and a final note that the creator has combined all prompts into one. Large text urges viewers to comment “Gemini” to receive the full set. The presenter may no longer be visible in these last frames; instead, the tutorial closes with readable document-like slides and a strong CTA focused on reuse and download.

This video is a strong example of AI tutorial content that packages multiple useful photo workflows into a single structured prompt guide. Instead of teaching only one trick, it presents a small toolkit: old photo restoration, passport photo conversion, face-accuracy enhancement, and prompt consolidation. That gives the page more depth and makes it useful to a wider range of creators.

The opening establishes Google Gemini as the core tool and immediately frames the video as a giveaway of reusable prompts. That positioning matters because viewers are not just watching a demo. They are being shown a set of repeatable prompt systems they can apply to their own images. The presenter’s short direct-to-camera introduction gives the tutorial a personal, creator-led feel before the visual slides take over.

The middle sections are especially valuable because each one solves a distinct image problem. First, older family photographs are improved and modernized. Then a casual portrait is turned into a passport-style headshot. After that, male portrait accuracy is improved through face-shape and hairstyle references. These are all practical, high-intent use cases that AI users commonly search for, and the video organizes them into a simple sequential format.

The later prompt-construction section adds another layer of value. Instead of stopping at isolated examples, the creator explains that separate prompt blocks can be combined into one stronger master prompt. That is useful from a workflow perspective because it teaches not just what to generate, but how to structure instructions more effectively inside Gemini.

From an SEO standpoint, this page is substantially stronger than a thin prompt listing because it addresses multiple creator intents in one place: photo restoration, ID-style portrait cleanup, likeness control, prompt engineering, and Gemini workflow optimization. That combination makes it a more useful reference page for people actively trying to improve real-world image tasks with AI.

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