How do I use the Dynamic Sports Action Portrait template?
Choose the primary action to open PicX Studio with the available template settings. Review the model and format, personalize the creative direction, and generate when ready.
imageFree
Dynamic Sports Action Portrait
Transforms standard photos into high-impact sports portraits with explosive energy, dramatic lighting, and customized team jerseys while maintaining the original pose. (free to use) — Free AI image template on PicX Studio.
Sample Prompt
A high-quality, ultra-dynamic action portrait of a {argument name="subject details" default="young adult male playing badminton"}. The person is in mid-air, a dynamic jump-smash pose, replicating the high-intensity energy and specific mid-air posture seen in image_0.png. Their face is wide open with an intense shout of power. They are wearing a professional {argument name="sport jersey" default="badminton"} jersey in a red and black color scheme with custom text. Replace the text 'TIDA Sports' on the jersey with '{argument name="team name" default="TIDA Sports"}'. The background is an explosive dark space filled with intense, streak-like red and white light trails, particles, and energy flares, exactly like the environment in image_0.png. Lighting is dramatic and high-contrast, emphasizing every muscle. Their footwear and equipment (like a racket or bat) should be rendered with high detail. The overall style is a high-octane sports editorial feature, sharp and textured. Retain the exact color palette and energy from image_0.png. Full-body shot.
Reference assets included
Dynamic Sports Action Portrait needs input media to work. Open it in the studio and these load alongside the prompt — pick whichever ones your chosen model can take.
1 reference image
A practical guide to Dynamic Sports Action Portrait
Use Dynamic Sports Action Portrait to plan an AI image around gpt-image-2 generation, themes such as en and gpt-image-2. Match the preview's composition first, then personalize the subject, setting, and mood for your own project.
- Model direction: start with gpt-image-2, the model this template was tuned for, before comparing another model.
- Composition: choose an aspect ratio for the final placement before you generate the image.
