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Above the Green Horizon
Above the Green Horizon is an AI-generated mountain image featuring Mountain view, nature escape, greenary. Copy the exact prompt below to recreate it in GPT Image, Midjourney or Flux, or adapt it as a starting point for your own mountain scenes.
AI Prompt
From the uploaded reference image, take only the person’s facial identity, facial structure, skin tone, hairstyle, natural hair texture, hair volume, hairline, facial proportions, and exact body posture exactly as they appear. Preserve the person’s identity with absolute fidelity. Do not copy the clothing, background, environment, lighting, camera angle, or any other scene elements from the reference image. The generated person must naturally fit into the following scene while preserving the exact facial identity and body posture from the uploaded reference. Create an ultra-realistic cinematic mountain viewpoint photograph featuring the same person standing on a scenic observation deck overlooking a vast landscape of lush green mountains. The subject is viewed entirely from behind, standing perfectly centered in the composition. Preserve the exact body posture from the uploaded reference image: standing upright with both hands gently resting on the metal safety railing, shoulders relaxed, feet placed naturally together, and the head facing directly toward the distant mountains, expressing peace, admiration, and quiet reflection. The subject wears a fitted dark forest-green long-sleeve sweater with subtle knitted fabric texture, realistic folds around the elbows and waist, and naturally fitted sleeves. Pair it with loose-flowing high-waisted white wide-leg trousers made from lightweight fabric with soft vertical folds and realistic draping that lightly gathers around the shoes. The subject has long, naturally straight black hair falling freely down the back to approximately the waist with soft natural shine and minimal movement from a gentle mountain breeze. No hats, backpacks, logos, jewelry, watches, or unnecessary accessories. The composition follows: Resolution: 1080 x 566 pixels Aspect ratio: 1.91:1 Camera position is approximately 4–5 meters behind the subject, slightly elevated above waist height using a 35mm full-frame lens equivalent. The subject occupies roughly the lower center of the frame while the surrounding landscape dominates more than 80% of the image, emphasizing the immense scale of nature. The observation platform is constructed from weathered gray concrete with naturally aged texture, small surface cracks, subtle stains, patches of discoloration, and realistic wear from years of outdoor exposure. The viewing deck has a smooth semi-circular shape extending toward the landscape. A curved safety railing surrounds the edge of the platform. The railing consists of thick weathered concrete pillars painted faded green with visible aging, chipped paint, moss growth, slight discoloration, and realistic surface imperfections. Between each pillar are dark gray horizontal metal bars showing subtle oxidation and natural outdoor wear. The railing gently curves around the platform, framing the subject naturally. Beyond the viewpoint lies an expansive panorama of rolling mountains covered in dense tropical forest. The mountains display countless shades of deep green, olive green, emerald, moss, and dark forest vegetation. Individual ridges overlap naturally into the distance, creating exceptional depth through atmospheric perspective. Small clearings, narrow dirt paths, scattered agricultural fields, and tiny isolated rural houses are barely visible within the valleys, blending naturally into the landscape without becoming distracting. The valleys appear lush, untouched, and filled with dense vegetation. The distant horizon gradually fades into soft blue atmospheric haze, producing realistic aerial perspective. The farthest mountain ridges become increasingly desaturated and lower in contrast, creating immense visual depth. The sky occupies approximately the upper third of the composition and is filled with dramatic layered cumulus clouds. Large white and light-gray clouds stretch across the frame with soft rounded forms, realistic volume, and naturally diffused shadows underneath. Patches of muted blue sky remain visible between the clouds. Lighting is soft natural daylight under partially cloudy conditions. Sunlight filters through openings in the clouds, creating gentle illumination across the mountains. Some hills receive brighter patches of sunlight while neighboring valleys remain slightly shadowed, producing realistic natural contrast. Avoid harsh sunlight or golden-hour coloration. The atmosphere should feel fresh, cool, and clean, typical of a high-altitude mountain viewpoint after recent rainfall. Include subtle atmospheric moisture and faint haze between mountain layers while maintaining excellent visibility. Color grading should emphasize rich natural greens, cool gray-blue mountain tones, muted blue skies, soft white clouds, and realistic neutral concrete textures. Maintain cinematic contrast with balanced exposure and high dynamic range while preserving realistic colors without oversaturation. The overall mood should communicate serenity, solitude, freedom, mindfulness, adventure, and appreciation for nature. The image should evoke the feeling of quietly standing above the world while taking in the breathtaking mountain landscape. No tourists, crowds, vehicles, signs, fences beyond the platform railing, artificial lighting, birds, drones, fantasy elements, exaggerated HDR effects, or unrealistic scenery. Every detail should appear naturally photographed in a real mountain viewpoint. Technical Quality: Ultra-photorealistic, DSLR quality, 8K resolution, HDR, cinematic travel photography, physically accurate lighting, global illumination, realistic atmospheric scattering, natural cloud simulation, highly detailed mountain vegetation, true-to-life textures, professional landscape composition, ultra-sharp foreground, soft atmospheric depth, National Geographic style, award-winning outdoor photography, premium travel magazine quality.
Visual references
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