Broadcast Trend Ai Video Tutorial | Baseball Broadcast Korean Ai Video Editing | Broadcast Ai Video

🔥 In this tutorial, I’ll show you how to create viral Broadcast AI style edits using AI prompts. First, we’ll generate realistic AI images with ChatGPT, then convert them into cinematic AI videos using Google Flow.

✨ Topics Covered:
• AI photo creation with prompts
• Broadcast AI trend editing
• Image to AI video workflow
• Cinematic animation effects
• Step-by-step editing process

🎬 Tools Used:
• ChatGPT
• Google Flow
• AI Prompts
Chat gpt prompt for girl:

Use the uploaded reference image as the
strongest identity anchor. The woman must look like the exact same adult woman from the reference image, not just a similar Korean woman.
Preserve her exact facial identity with high
priority: same small oval face, same delicate jawline, same large clear eyes, same eye spacing, same eyelid shape, same straight nose, same sott muted pink lips, same pale clear skin tone, same refined calm expression, and same long black softly wavy hair.
Create an ultra-realistic candid KBO
baseball broadcast screenshot of the same woman accidentally caught by a live TV camera in the spectator seats. The team name is LG and F1 Her face should remain closer to the reference image than to a generic stadium fan. Do not change her into another person. Do not make her face wider, older, sharper, more westernized, or more idol-like. Keep the same delicate studio-portrait identity, but translated naturally into a real stadium environment.
She is seated among a lively Korean
baseball crowd, holding an iced drink and a cheering stick, wearing a clean white baseball jersey over a simple casual top.
She notices the camera and gives a small
natural smile sliahtlv surnrised but
composed.
Use a realistic far-distance broadcast camera look: telephoto compression, mild video softness, slight motion blur in the crowd, stadium lighting, natural skin texture, imperfect candid framing, 16:9 horizontal TV broadcast composition.
Chatgpt prompt for boy -

Use the uploaded reference image as the strongest identity anchor. The man must look like the exact same adult man from the reference image, not just a similar Korean man.

Preserve his exact facial identity with very high priority: same face shape, same jawline, same eyes, same eye spacing, same eyelid shape, same nose, same natural lips, same skin tone, same hairstyle, same hair texture, same calm expression, and same overall facial proportions.

Create an ultra-realistic candid KBO baseball broadcast screenshot of the same man accidentally caught by a live TV camera in the spectator seats. The team name is LG.

His face should remain much closer to the reference image than to a generic stadium fan. Do not change him into another person. Do not make his face wider, older, sharper, more westernized, or more idol-like. Keep the same natural studio-portrait identity, but translated realistically into a live stadium environment.

He is seated among a lively Korean baseball crowd, holding an iced drink and a cheering stick, wearing a clean white baseball jersey over a simple casual outfit.

He notices the camera and gives a small natural smile, slightly surprised but composed.

Use a realistic far-distance broadcast camera look: telephoto compression, mild video softness, slight motion blur in the crowd, realistic stadium lighting, natural skin texture, imperfect candid framing, and authentic live sports broadcast atmosphere.

16:9 horizontal TV broadcast composition.
Google flow prompt:
realistic sports broadcast screenshot-style
documentary photo set in the spectator
stands of a Korean professional baseball
game.
Analyze an attached image and the person
in the image is sitting in the stadium seats
delicate facial features, and a surprised yet
focused expression as his/her looks toward
the field. the person
wears a with a baseball team, [ºi
옷입
] design jersey
OUTPUT:
horizontal 16:9 broadcast frame, realistic TV
capture quality, NOT portrait orientation
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#AIEditing #BroadcastAI #ChatGPT #AIVideo #GoogleFlow #PromptEditing #TrendingTutorial #CinematicEdit

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