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Novità: GPT Image 2.5 Flare e Sunburst. Provali gratis con 3 immagini alla registrazione, poi 8 crediti ciascuna.
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2476 / 1000
{ "generation_request": { "meta_data": { "task_type": "photoreal_playful_couple_car_selfie_triptych", "priority": "highest" }, "output_settings": { "aspect_ratio": "9:16", "orientation": "portrait", "render_style": "ultra_photoreal_candid_lifestyle", "sharpness": "crisp_but_natural", "film_grain": "subtle_analog", "color_grade": "natural_daylight_soft", "dynamic_range": "high", "skin_tone": "natural_true_to_life" }, "camera": { "camera_style": "handheld smartphone selfie perspective", "lens": "24mm_equivalent", "aperture": "f/2.0", "shutter_speed": "1/500", "iso": 320, "white_balance": "daylight", "focus_priority": "front_subject_eyes" }, "global_scene": { "setting": "car interior, front passenger and driver seats, road and sky visible through windows", "time_of_day": "[late afternoon to dusk]", "lighting": "soft natural window daylight, gentle facial shadows, no harsh flash", "mood": "playful, intimate, spontaneous road-trip energy" }, "subjects": { "group": { "count": 2, "description": "[young modern couple, joyful and expressive]", "wardrobe": { "male": "[casual light t-shirt, relaxed fit]", "female": "[casual hoodie or knit sweater, relaxed fit]" }, "accessories": "seatbelts fastened, natural hands and realistic anatomy" } }, "strip_composition": { "layout": "vertical triptych of 3 horizontal frames in a single image", "dividers": "thin clean horizontal dividing lines between frames, no text, no watermarks", "continuity": "consistent couple, car interior, and lighting across all three frames" }, "poses_sequence": { "frame_1_top": "playful candid expression, laughing excitedly with mouth open or mock-biting gesture, hand gently resting on partner's cheek", "frame_2_middle": "sweet affectionate kiss on cheek, close embrace, relaxed genuine smiles", "frame_3_bottom": "cozy cuddle pose, cheeks pressed together, gentle smiles looking directly at camera" }, "composition": { "framing": "tight close-up selfie in each frame, subjects filling majority of frame", "depth_of_field": "shallow depth of field, faces sharply in focus, soft background blur", "constraints": "clean motion freeze, no motion blur, no extra people" } } }
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