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Ultra Realistic Cinematic Portrait Of A Young Man

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✦ Gemini / ChatGPT Tested

Ultra-realistic cinematic portrait collage of a young man standing alone in a vast misty green valley during an overcast day. The image is divided into three horizontal frames stacked vertically in a 3:4 aspect ratio, creating a film-strip storytelling effect. In the first frame, he is captured from a side profile looking into the distance. In the second frame, he is shown from the back, standing quietly near a small stream surrounded by lush grass. In the third frame, he gently lifts his face upward with his eyes closed, embracing the cool mountain air. He wears a plain oversized black long-sleeve T-shirt with messy textured black hair. The background features rolling hills covered in soft fog and muted green vegetation. Soft diffused natural lighting, moody color grading, earthy tones, dreamy atmosphere, shallow depth of field, cinematic photography, subtle film grain, foggy landscape, emotional solitude aesthetic, Instagram-worthy travel portrait, shot on a 50mm lens, ultra-detailed, 8K, realistic skin texture, premium editorial style. Negative Prompt: Low quality, blurry face, extra limbs, distorted body proportions, oversaturated colors, harsh shadows, cartoon style, text, watermark, duplicate subjects, unrealistic lighting, noisy image, low resolution. Settings: Aspect Ratio: 3:4, Style: Cinematic / Moody / Editorial Photography Quality: Ultra HD, 8K Camera: 50mm lens, soft natural light, film grain effect This prompt is suitable for image generators such as Midjourney, Flux, ChatGPT Image Generation, and Stable Diffusion, need this prompt picture,

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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