Toronto Blue Jays Game Broadcast Screenshot — Sora 2 Prompt
Generate a photorealistic MLB broadcast-style fan shot with Sportsnet scorebug, privacy-blurred faces, and authentic stadium atmosphere.
حول هذا الموجّه
Generate a photorealistic MLB broadcast-style fan shot with Sportsnet scorebug, privacy-blurred faces, and authentic stadium atmosphere. Use it as a الفن المفاهيمي starting point for GPT Image 2: keep the visual structure and style constraints intact, then swap in your own subject, brand, or scene.
This prompt is organized as structured JSON with fields such as type, scene, camera and style, main subjects, background, privacy obscuration, and broadcast graphics. Keeping that hierarchy helps the model separate the subject, layout, interface elements, and detail constraints.
Start with small changes to subject, scene, camera, and color, then generate a few variations to compare composition and detail without turning the page copy into keyword stuffing.
كيفية استخدام هذا الموجّه
- Copy the entire prompt JSON and paste it into your preferred Sora 2-compatible AI video/image model.
- Select a model that supports high-resolution 16:9 photorealistic output (e.g., Sora 2, Runway Gen-3).
- Customize the argument variables — change team jersey text, scores, inning, or network logo to match a different game scenario.
- Adjust camera framing or color palette in the prompt if you want a tighter close-up or a different section of the ballpark.
- Generate the image and review; iterate on lighting or blur parameters if the broadcast-authentic feel needs refinement.
