Dark Academia

{ "positive_prompt": { "constraints": { "aspect_ratio": "9:16", "medium": "Professional DSLR low-light photography", "shot_type": "Full body kneeling shot", "subject_instruction": "Real person from user-provided image. Identity, including facial features, long dark hair, and body shape, must remain exactly the same." }, "composition": { "framing": "Vertical, centered subject on a bed, framed by a soft curtain on the right", "camera_angle": "Eye-level, slightly tilted to follow the subject's lean", "camera_distance": "Medium shot, 2-3 meters", "pose": "Kneeling on a white textured bedspread, torso leaning forward, head tilted slightly, hands resting between knees", "gaze": "Direct, calm gaze toward the camera", "crop_notes": "Full torso and knees visible; feet tucked behind" }, "environment": { "location_cues": "Cozy bedroom, white bedding, ruffled pillows, framed art on the back wall, sheer curtains", "time_of_day": "Night / Interior", "light_source": { "type": "High-saturation dual-tone neon/LED setup", "direction": "Strong magenta light from the right side (backlighting through curtains); cool cyan/blue fill light from the left side", "softness": "Diffused glow with high color bleed", "falloff": "Deep colored shadows in the folds of the sweater and bedding" } }, "body_and_fabric_interaction": { "posture_effects": "Kneeling posture causes the sweater to pool at the lap and stretch over the shoulders", "fabric_drape": "Oversized, chunky knit white mohair sweater drapes heavily off the frame, obscuring the lower torso", "tension_zones": "Slight tension across the upper back and shoulders due to the forward lean", "compression_zones": "Sweater bunching heavily at the waist and where arms meet the thighs", "wrinkle_patterns": "Large, soft organic folds in the knit fabric; micro-creases in the bedsheets under the knees", "gravity_behavior": "The weight of the heavy knit causes the hem and sleeves to hang vertically toward the bed", "contact_shadows": "Strong cyan-tinted shadows under the knees and magenta-tinted shadows within the sweater's knit texture", "fit_accuracy": "Fabric must fit the user’s real body exactly, without reshaping." }, "materials_and_textures": { "skin": "Natural skin texture, visible pores under colored lighting, soft highlights on cheeks and nose", "fabric": "Coarse, fuzzy texture of the white wool knit; smooth, soft texture of the cotton bedding", "separation": "Clear separation between the glowing background curtain and the sharp texture of the sweater" }, "primary_focus": { "focus_name": "Cyan-Magenta Color Grading", "observable_features": [ "Vibrant magenta light catching the edges of the hair and right arm", "Cool cyan light illuminating the left side of the face and sweater", "Intricate knit pattern of the oversized white sweater", "Soft bokeh on the wall art in the background" ] }, "color_and_light_rules": { "white_balance": "Mixed lighting; calibrated for cyan/magenta balance", "contrast": "High contrast between vibrant highlights and saturated shadows", "exposure": "Exposed for skin tones within the colored light", "saturation": "High saturation in pink, magenta, and blue-cyan spectrums", "grading_rule": "True-to-life representation of neon/LED environment; no artificial filters" }, "camera_behavior": { "camera_type": "35mm prime lens, wide aperture (f/2.0)", "depth_of_field": "Shallow; subject is in sharp focus while the background wall and curtain are soft", "focus_falloff": "Sharpest on the eyes and lips, softening toward the shoulders and background", "grain_or_noise": "Fine digital grain typical of high-quality low-light sensors", "sharpening_limit": "No over-sharpening" }, "overall_aesthetic": "Feels like a real, unstaged moment; documentary/editorial realism" }, "strict_negatives": [ "beauty filter", "face alteration", "hair modification", "body reshaping", "skin smoothing", "idealized proportions", "floating fabric", "perfect symmetry", "AI glow", "HDR", "CGI", "illustration", "cinematic grading", "over-sharpening", "plastic skin", "fake texture", "text", "logos", "watermarks" ] }