How to create AI Baseball viral video trend for Instagram in minutes
Create viral AI baseball images using ChatGPT or Google Gemini.
Google Flow turns the static image into a cinematic clip.
The trend is massive in South Korea's baseball scene.
If you’ve been doom-scrolling through Instagram, then I’m sure you’ve come across the latest AI baseball viral videos. For those unaware, these videos usually have people giving reactions after seeing themselves within a stadium. With these AI videos, people are now putting themselves inside the stadium, and Instagram is filled with such videos. But like many, if you are also wondering how people are actually creating such videos, don’t worry; it’s very simple. The process involves creating the base image, and after that, making the video through AI tools. Keep on reading to find out how you can make such an image for yourself.
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Why are the AI baseball videos going viral?

Like every other Instagram trend, there’s no clear answer as to why these videos are going viral on the platform. But given how stadium-styled videos usually end up getting a lot of engagement on Instagram, it makes sense that a lot of people are trying to make videos like these. These videos do have a certain vibe, as audience reactions in a stadium full of people are always nice to see. Also, it has been noticed that most of these videos are taking place in South Korea, where the sport is very popular. Let’s now take a look at how you can make such videos.
AI Baseball viral video trend: Step-by-step guide
Making the viral AI baseball video trend is very easy and can be done within minutes. Follow all the steps mentioned below to create it with ease:
Step 1: Creating the image using ChatGPT/Gemini
First and foremost, you need to create an image using either ChatGPT or Google Gemini. For the image, it is recommended to use portrait pictures of yourself for the best results. Import them into the chatbot, and use the prompt mentioned below. Once the image is created, download it onto your device.

Image prompt:
“Use the uploaded reference image as the strongest identity anchor. The person must look like the exact same person from the reference image. Preserve their exact facial identity with high priority: same face shape, same eyes, same nose, same lips, same skin tone, same expression style, same hair. Create an ultra-realistic candid KBO baseball broadcast screenshot of this person accidentally caught by a live TV camera in the spectator seats.
Important: Their face should remain close to the reference image. Do not change them into another person. They are seated among a lively Korean baseball crowd, holding an iced drink and a cheering stick, wearing a clean white baseball jersey over a casual top. They notice the camera and give a small natural smile, slightly surprised but composed.
Use a realistic 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. Background: crowded Korean baseball stadium seats, cheering fans, bright stadium lights, LED boards softly out of focus.”
Step 2: Using Flow to create the video
Next up, you need to use Google’s image and video creation tool, Flow. In there, the process is quite simple as well; all you need to do is import the image that you have created and paste the prompt mentioned below along with it. Make sure to select the correct settings in the tab, like selecting the start and end frames. You can also change settings like the aspect ratio, the AI model and a few more things.

Video prompt:
“Preserve exact face, hairstyle, skin texture, and identity. Do NOT stylize or beautify. Output: single continuous live sports broadcast shot, 4-5s, 16:9, 1080p, no cuts.
SUBJECT: A person based on @image1, sitting in a KBO baseball stadium audience. Looking directly at the camera with a bright, genuine smile. Waving happily and enthusiastically towards the lens. Energetic, relaxed, and joyful body language.
ENVIRONMENT: Lively and festive KBO stadium crowd during a high-energy live game. Background crowd is highly active, cheering, clapping, and waving team towels or thundersticks. Plastic seats, fans around wearing vibrant team jerseys. Background slightly out of focus; realistic stadium lighting; slight haze from broadcast compression.
MOOD: Excited, joyful, classic interactive Jumbotron Fan Cam moment. High energy, real broadcast capture. No cinematic drama. Pure live TV entertainment.
CAMERA: Telephoto broadcast lens (120-150mm). Long-distance zoom from upper stands camera targeting the subject. Strong compression, shallow depth of field. Eye-level, very slight upward tilt. Subtle micro-shake from broadcast stabilization.
ACTION (4-5s): [0-1s] Realizes they are on camera, face lights up with a big, happy smile. [1-3s] Makes direct eye contact, raises hand(s) and waves enthusiastically at the lens. [3-5s] Continues waving and laughing naturally, while the background crowd actively cheers and jumps slightly.
DETAILS: Direct eye contact with the camera. Skin texture realistic, no smoothing. Slight motion blur on the background crowd. Faint broadcast scoreboard UI or “LIVE” graphic visible in the corner.”
After you’re done creating the video, you will now have the option to simply download it by clicking on it. With that said, I hope this guide helped you in creating the baseball AI trend that has been going viral on Instagram. Do share your results on your socials and make sure to tag us too. For more such informative guides, keep on reading Digit.in
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Madhav works as a consultant at Digit, covering news, branded and feature stories. He has been writing about tech and video games since 2020. While not busy working, you'll usually find him roaming around Delhi in hopes of getting good pictures, playing video games or watching films and F1 during weekends. View Full Profile