📸 INPUT REFERENCE: Use the uploaded photo as the base — preserve the exact composition, subject, buildings, landscape structure and camera angle precisely as they appear in the original 🍂 SEASONAL CONVERSION TASK: Transform the scene's season to the one specified by the user (e.g. "convert to autumn with falling leaves," "convert to winter with snow," "convert to spring with blossoming flowers," "convert to summer with lush green growth"). Adjust every seasonal detail of the environment accordingly 🌳 FOLIAGE & GROUND TRANSFORMATION: Realistically change tree leaves, grass, and plant life to match the requested season — golden orange and red leaves with some scattered on the ground for autumn, bare branches with snow accumulation for winter, fresh blossoms and vivid green growth for spring, full lush deep green canopy for summer ❄️ WEATHER-APPROPRIATE DETAIL: Add season-accurate environmental details — frost or snow on surfaces and rooftops for winter, fallen leaf piles and misty cool air for autumn, flower petals and soft pastel blooms for spring, warm bright haze and full foliage for summer 🎨 COLOR GRADE SHIFT: Apply a color grade appropriate to the season — warm orange and amber tones for autumn, cool blue-white tones for winter, soft pastel tones for spring, vibrant saturated warm tones for summer 💡 LIGHTING ADJUSTMENT: Adjust sun angle, light warmth, and shadow length to realistically match the natural lighting quality typical of the requested season 🖌️ STYLE: Photorealistic seasonal conversion — final result must look like it was naturally photographed during that season, not a color filter applied on top 🚫 PRESERVE STRUCTURE: Do not alter buildings, subject pose, or core composition — only seasonal environmental details and lighting change 📐 ASPECT RATIO: Preserve the original photo's exact aspect ratio and framing
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Change Season in Photo Summer to Autumn Winter Spring is a transformation prompt for GPT Image 2, composed for a 16:9 image. "convert to autumn with falling leaves," "convert to winter with snow," "convert to spring with blossoming flowers," "convert to summer with lush green growth").
"convert to autumn with falling leaves," "convert to winter with snow," "convert to spring with blossoming flowers," "convert to summer with lush green growth").
Keep the prompt structure, then replace the main subject, action, or environment in ""convert to autumn with falling leaves," "convert to winter with snow," "convert to spring with blossoming flowers," "convert to summer with lush gree...".
Adjust one visual signal at a time, such as "change season photo ai", "summer to autumn converter", "add snow to photo ai", "seasonal photo editor", so you can identify which instruction changes the result.
Use the wide frame to establish the environment, place supporting details around the subject, and maintain a clear focal point.
Use one clear reference image and retain the identity-lock instructions when changing clothing, lighting, background, or camera direction.
Use direct natural-language edits after the first generation. State what must remain unchanged before describing the single element you want to revise.
Judge the result by how clearly it communicates the intended transformation direction while keeping the subject, environment, and visual treatment consistent.
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