Sports brands
Drop a culture-around-the-game spot. The AI stadium broadcast template handles the fan, the crowd, and the broadcast look.
One still,
one broadcast-grade moment.
Edition 06 β A two-step broadcast clip
Step one writes a hyper-realistic broadcast still β a glamorous fan in the stands during a packed night match, with team-color crowd contrast, broadcast overlay, and a network watermark. Step two hands that frame to Seedance i2v and renders a fifteen-second live-broadcast clip with subtle handheld camera, crowd motion, and authentic in-game energy. The whole thing happens in the console below.


The prompts below are the verbatim source. Copy them into the console above and tweak the fan, team colors, or stadium.

A single-image brief for GPT Image 2.0 that locks the fan's identity, wardrobe, the team-color crowd contrast, the broadcast camera angle, the in-game overlay graphics, and the network watermark.
Ultra-realistic sports broadcast still of a glamorous woman sitting in a packed football stadium crowd during a night match, wearing a dark brown sleeveless high-neck satin top and black square earrings, shoulder-length light brown/blonde hair styled in soft waves. She is casually drinking from a tall blue aluminum can while holding a half-eaten cheeseburger in the other hand. Around her are fans in bright yellow and blue football jerseys and scarves, creating strong team-color contrast. The scene feels candid and cinematic, captured mid-game from a TV broadcast camera angle with shallow depth of field. Include realistic stadium seating, crowded audience atmosphere, broadcast overlay graphics in the top-left corner showing a live football score and match timer, and a sports network watermark in the top-right. Natural arena lighting, detailed skin texture, sharp focus on the woman, slightly blurred background crowd, authentic live sports broadcast aesthetic, 16:9 composition.Model β gpt-image-2
A Seedance 2.0 i2v shot list that scripts subtle handheld broadcast camera motion, fan reactions, crowd ambient movement, and natural in-game body language while preserving the broadcast aesthetic.
Use the provided broadcast still as reference.
CONCEPT:
Live football broadcast cut β 15 seconds of mid-game crowd-camera energy on the same glamorous woman from the reference still.
CHARACTER LOCK:
Same face, same hair, same dark brown sleeveless high-neck satin top, same black square earrings as the reference. Do not change identity, do not duplicate her.
SCENE:
Packed night-match football stadium crowd around her β fans in bright yellow and blue jerseys and scarves, full seating tiers visible. Broadcast overlay graphics (score, timer) anchored top-left and a sports network watermark anchored top-right, both holding stable through the cut.
ACTION TIMELINE:
0:00β0:03 β Subtle handheld push-in. She glances toward the field, takes a casual sip from the tall blue aluminum can.
0:03β0:06 β Crowd reaction beat. Cheers around her, she half-smiles, lifts the cheeseburger toward her mouth.
0:06β0:09 β Takes a bite, fans behind her stand and wave a scarf overhead, slight camera reframe.
0:09β0:12 β Brief locked-off shot. She lowers the burger, looks back at the game, sips again from the can.
0:12β0:15 β Cheer hits, she laughs and turns slightly to the friend beside her, broadcast camera holds, overlay graphics flash.
CAMERA:
Mid-shot to medium close-up, subtle broadcast handheld realism, very shallow depth of field, no fast cuts, no whip pans β keep the energy of a live broadcast operator following her.
LIGHTING:
Natural arena floodlights, slight cool kiss on her hair, warm stadium glow on the crowd, no extra studio relight.
RESTRICTIONS:
No new text, no caption overlays beyond the existing score and timer, no logo changes, no slow-motion gimmicks, no anime stylization, no identity drift.Model β seedance-2-beta
Once you've tuned a broadcast moment you like, save the prompt pair and re-run for every team, season, or sport.
Browse all templates
The AI stadium broadcast template is a two-pass workflow that produces a 15-second hyper-realistic live-broadcast clip from text alone. The first pass writes a single broadcast still of a fan in the stands during a packed night match, complete with team-color crowd contrast, overlay graphics, and network watermark. The second pass animates that frame into a clip with authentic in-game camera motion and crowd energy.
You run the AI stadium broadcast template inside the console above. Step one calls GPT Image 2.0 with a hyper-realistic broadcast brief. Step two hands the frame to Seedance 2.0 image-to-video. Swap the fan, swap the teams, hit generate, ship the AI stadium broadcast template's final clip. GPT Image 2.0 image studio Β· Seedance 2.0 image-to-video
Broadcast aesthetic
Overlay graphics, network watermark, broadcast camera angle β the AI stadium broadcast template nails the look.
Team-color contrast
Bright jersey-color crowd surrounding the fan. Strong frame composition.
Subject lock
Same fan face, hair, wardrobe across the still and the video from the AI stadium broadcast template.
Mid-game energy
Subtle handheld realism. Crowd ambient motion. Fan candid micro-expressions.
Anyone shipping short-form sports-adjacent content where broadcast realism is the punchline.
Drop a culture-around-the-game spot. The AI stadium broadcast template handles the fan, the crowd, and the broadcast look.
Game-day product moment β beer can, snack reach, halftime sip. The AI stadium broadcast template makes it native broadcast.
B-roll for game recaps without licensing fees. The AI stadium broadcast template fills the crowd-shot gap.
Drop a fake-broadcast meme clip. The AI stadium broadcast template's authenticity is the whole joke.
Why the AI stadium broadcast template beats a stadium shoot for short-form broadcast-style content where production access is the bottleneck.
The AI stadium broadcast template is a paired prompt: a GPT Image 2.0 brief that produces a hyper-realistic broadcast still of a fan in the stands with team-color crowd contrast, overlay graphics, and network watermark, and a Seedance 2.0 i2v shot list that animates that still into a 15-second live-broadcast clip with subtle handheld camera motion. Both prompts are on this page and free to remix.
No. Step one of the AI stadium broadcast template generates the stadium scene for you, including crowd, lighting, and overlay graphics. If you already have a usable broadcast still, skip step one.
Yes. Edit the team-color description in both step-one and step-two prompts. The AI stadium broadcast template works for any matchup β soccer, basketball, baseball, esports β just swap the crowd palette and overlay.
About four minutes end-to-end on Seedance 2.0 Fast. Step one (the broadcast still) takes around a minute. Step two (the 15-second video) takes around three.
16:9 landscape β native broadcast. Drops cleanly into YouTube and broadcast-style social cuts.
Yes β the AI stadium broadcast template's step-one brief explicitly locks face, hair, and wardrobe. The video pass uses the still as a reference image so identity holds across cuts.
The AI stadium broadcast template's default prompt avoids real league trademarks. If you want to add a specific team or league, do it at your own risk and check your local IP rules first.
Generations from seedance2.so are yours to use. Strip the broadcast watermark if your context is not parody, and avoid trademarked team marks in the AI stadium broadcast template prompt for brand-safe deliveries.
Two prompts, one console, one render. Broadcast still, then video β or browse all AI workflow templates.