
Orange Edge — Cinematic Street Style
Source: @deepx_j
This prompt generates Orange Edge — Cinematic Street Style.
It is written for ChatGPT.
The prompt specifies three-quarter.
One variable you can change is three-quarter.
How to use this prompt
- Model: ChatGPT.
- Subject: Orange Edge — Cinematic Street Style.
- Change three-quarter.
0 views · 0 copies · 0 favorites · 0 discussing
0Prompt
1 of 1 free copies left today
Prompt Create an ultra-realistic, high-resolution cinematic fashion portrait based closely on the reference image. Preserve the same male subject’s facial identity, facial structure, facial proportions, natural skin tone, hairstyle, textured black hair, eyebrows, eyes, nose, lips, jawline, beard/stubble pattern, and overall recognizable appearance. Do not alter, beautify, reshape, slim, age, or redesign the face. The man is shown in a chest-up three-quarter portrait, facing slightly to the side while looking confidently off-camera. He has neatly styled textured black hair, light natural stubble, and a small silver stud earring. He is wearing sleek narrow rectangular sunglasses/goggles with dark brown tinted lenses and a thin metallic frame. The sunglasses should have a clearly defined rectangular shape, straight top and bottom edges, and a modern premium fashion appearance. He wears an open black/charcoal textured denim shirt-jacket over a plain black crew-neck T-shirt, with a thin silver chain and rectangular silver dog-tag pendant. Use a solid vivid orange background, clean and minimal. Sharp cinematic studio lighting, realistic skin texture, detailed individual hair strands, natural facial shadows, premium editorial fashion photography, high contrast, crisp focus, realistic fabric texture, 4K ultra-high resolution. Composition: centered chest-up portrait, vertical 4:5 aspect ratio, subject occupying most of the frame, clean background, no text, no extra people.
Similar prompts

Stylish Young Man in Embroidered Black Shirt Leaning on Open Door of Luxury Car
Create a highly photorealistic, cinematic full-body portrait of a stylish young South Asian man (early 20s) standing next to a luxury black

Young Man Sitting on a Cliff Edge Watching a Scenic Mountain Sunset
Create a highly photorealistic, cinematic portrait of a handsome young South Asian man (early 20s) sitting on a rocky cliff edge

Cheerful Young Man Taking a Selfie in Front of the Statue of Unity
Create a highly photorealistic, vibrant travel selfie of a handsome young South Asian man (early 20s) standing outdoors in front of a giant

Lost in the Mountains 🏔️ | Found My Peace 🤍✨
aspect ratio 9:16, Keep the person exactly as shown in the reference image with 100% identical facial features, bone structure, 4K details,

Urban Elegance ✨ | Street Style That Speaks Confidence 😎
aspect ratio 9:16, Keep the person exactly as shown in the reference image with 100% identical facial features, bone structure, 4K details,

Serene Young Man with Headphones Sitting in a Mountain Meadow at Golden Hour
Create a highly photorealistic, cinematic portrait of a handsome young South Asian man (early 20s) sitting in a lush mountain meadow.

Three Frame Couple Kiss Prompt
"A little romance, a lot of madness.😜🔥 Create a high-end photorealistic three-panel vertical collage featuring a young adult couple in a

Lake Red Shadow Moon Night Image 😊|
Create a vertical 9:16 cinematic night scene: a person sitting naturally inside a traditional wooden boat floating on a lotus-covered lake,

Ultra-Realistic Wet-Look Portrait Prompt
> Create an ultra-realistic, high-resolution cinematic portrait closely matching the uploaded reference image.

Mountain beautiful Morning with golden sunrise 🥰|
Create a cinematic, highly detailed mountain landscape in 9:16 vertical aspect ratio.

Cinematic Double Exposure Portrait of a Man Walking Towards a City Sunset
Create a highly photorealistic, cinematic double-exposure composite portrait of a handsome South Asian man.

📸 Ultra-Realistic Fashion Portrait Prompt
> Create an ultra-realistic, high-resolution full-body fashion portrait closely matching the uploaded reference image.