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Gym Mirror Selfie In Athletic Dept Tee
Curated image-generation prompt for cinematic portrait prompt.
Prompt
GPT image 2...
A stunningly detailed photorealistic portrait of a young beautiful woman with vibrant auburn hair and soft bangs, capturing a mirror selfie in a high-end, modern fitness center. She is wearing a mustard-yellow oversized graphic t-shirt with "ATHLETIC DEPT." printed in varsity-style lettering, paired with high-waisted, ribbed maroon leggings that accentuate her fit physique. She is seated gracefully on a black weight bench, legs crossed, holding a sleek pink smartphone with both hands to cover the center of her face, leaving her expressive eyes visible. Her accessories include a gold watch, a delicate bracelet, and a dark scrunchie on her wrist. The background is a clean, spacious gym featuring rows of professional dumbbells, mirrors, and a leg press machine, all rendered with a soft bokeh effect. The lighting is bright and cinematic, utilizing overhead studio-grade LEDs to create natural highlights on her skin texture and the fine fabric of her clothing. Captured with a professional DSLR and a 35mm lens, the image features a shallow depth of field, sharp focus on the subject, and an ultra-detailed 8K resolution. The mood is confident and aesthetic, with a clean color palette of warm yellows, deep reds, and cool gym greys. ultra realistic, photorealistic, cinematic composition, professional photography, 8K resolution, sharp focus, depth of field, natural skin texture, high detail, masterpiece.
How to Use This Prompt
- Copy the full prompt text with the copy button above.
- Replace any [bracketed] placeholders with your own subject, scene, or details.
- Paste it into Gemini / Nano Banana Pro — or hit "Try this Prompt" above to generate here for free — then tweak the wording against the example images.
Style Notes
- Poster
- Single-image layout designed to be read at a glance: dominant visual, title-friendly composition, high contrast for print or thumbnail.
- 3D Render
- CGI look — smooth surfaces, controlled global illumination, and depth that reads like a Blender/Cinema 4D render instead of a photograph.
- Photo
- Asks the model for photorealistic output — natural lighting, believable skin and materials, camera-like depth of field — rather than illustration or 3D looks.
- Typography
- Text is part of the artwork. Modern models like Nano Banana Pro can render legible styled lettering, but keep the exact wording short and quoted in the prompt.
- Cinematic
- Film-style rendering — widescreen framing, dramatic lighting contrast, graded colors (often teal-orange), and a sense of narrative in the scene.
- Minimalist
- Few elements, generous negative space, restrained palette — the model is told to leave things out, which makes composition errors much less likely.
- Hero Portrait
- A single dominant subject shot like a key visual — tight framing, strong eye contact or pose, background simplified so the character carries the image.
- Studio Lighting
- Controlled artificial light (softboxes, rim lights) — clean shadows and highlight control, the standard look of commercial portrait and product work.
- Low Key
- Predominantly dark frame with selective highlights — moody, dramatic, and very sensitive to where the light source is placed in the prompt.
FAQ
How do I use this prompt with Gemini (Nano Banana Pro)?
Copy the full prompt with the copy button above, paste it into Gemini or any Nano Banana Pro-powered tool, and compare your result with the example images on this page. You can also click "Try this Prompt" to generate directly on this site — free daily generations, no sign-up needed.
Can I customize "Gym Mirror Selfie In Athletic Dept Tee"?
Yes. Anything in [brackets] is a placeholder meant to be replaced with your own subject or details, and you can freely adjust subject, lighting, or style keywords — small wording changes often produce noticeably different results.
Which AI models does this prompt work with?
It was originally shared for Google's Gemini image models (including Nano Banana Pro). Most text-to-image models will understand it too, though composition and text rendering quality vary by model.
