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Classy Pose

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✦ Gemini / ChatGPT Tested

Create an ultra-realistic 4K UHD full-body fashion portrait of a handsome, stylish young Indian man standing confidently in front of a beautiful lush green flowering garden filled with vibrant red and pink flowers.

Face: Create a new handsome Indian male face with attractive facial features, naturally styled voluminous black hair, a neatly trimmed beard and moustache, and stylish black rectangular sunglasses.

Outfit:

- Plain oversized white full-sleeve T-shirt.
- Loose-fit dark blue baggy jeans.
- Clean cream-white sneakers.
- Minimal stylish black bracelet.

Pose: Standing naturally with one hand gently touching the collar near the neck and the other hand relaxed beside the body. Full body visible from head to shoes.

Background: Beautiful green bushes with red and pink flowers, outdoor garden, concrete boundary wall and natural daylight.

IMPORTANT FACE INSTRUCTIONS:
Change only the male face using the new face reference. If a personal face reference photo is provided, preserve that person's exact facial identity, face shape, eyes, nose, lips, jawline, skin tone and natural facial proportions. Do not change the identity or generate a different person.

Photography: Ultra-photorealistic, natural Indian skin tone, realistic skin texture, professional DSLR photography, sharp facial details, beautiful natural lighting, premium Instagram/Faymas fashion photography, cinematic color grading.

Aspect Ratio: Vertical 9:16, full-body composition, high resolution, 4K quality.

No watermark, no text, no extra fingers, no distorted hands, no cropped feet.

Mayank Kapoor portrait
Mayank Kapoor

Mayank Kapoor is the brain behind EditMK.com - an AI prompt engineer with a base in Bengaluru, India. A recent graduate from Reva University, Mayank has carved out a niche for himself in the field of AI image generation - specifically Zero-shot, Few-shot, and Chain-of-Thought prompting techniques. Every prompt we publish on EditMK? He puts those through their paces personally, verifying them one by one before we even put them live.

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