聊天GPT

傑普爾·哈瓦·馬哈爾晨間編輯肖像"

為聊天GPT 編寫。不同型號的結果和參考照片支援可能有所不同。

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列出的工具:聊天GPT。完整說明:3,502 個字元。 1 個提供的範例影像。

This prompt mentions reference images. Read its instructions for the required number of photos and identity constraints. We have not independently tested this prompt. Tool labels and supplied images are not a guarantee of compatibility or output quality.

完整提示詞

IDENTITY LOCK: Do not change the subject's facial bone structure, eye 
shape and color, nose shape, lip shape, jawline, or skin tone in any 
way — keep it 100% identical to the original uploaded photo. Body 
build and proportions unchanged. Non-negotiable.

DO NOT COPY FROM REFERENCE: This is a full re-render, not a direct 
edit of the original photo. Only carry over the facial identity (bone 
structure, eyes, nose, lips, jawline, skin tone) from the reference 
photo — do NOT copy the original photo's expression, eye gaze 
direction, head angle/tilt, or body pose. Treat expression and pose 
as completely open and generate them fresh based on the scene 
described below, not based on what the reference photo shows.

LIGHTING SETUP (as a real photographer would dial it in): Key light — 
soft early-morning sun on the pink sandstone facade of Hawa Mahal, 
acting as a warm natural key from camera-left, low angle, gently 
diffused by the morning haze typical of Jaipur streets. Fill — soft 
bounced light from the pale pink stone walls, balancing the key at 
roughly a 2:1 ratio so shadows stay gentle. Rim light — sunlight 
grazing through one of the mahal's hundreds of small jharokha windows 
casts a soft warm edge-glow along her hair and dupatta. Catchlights 
in her eyes should be warm and soft.

LENS & OPTICS: Simulate an 85mm lens at f/2.0 — flattering facial 
compression, background rendered as soft creamy bokeh with the 
honeycomb lattice of Hawa Mahal's iconic pink facade gently blurred 
but still recognizable, gentle fall-off in sharpness away from the 
focal point, faint natural vignette at the corners.

FILM/COLOR SCIENCE: Warm pink-city film response — sunlit highlights 
bloom softly rather than clipping, shadows lifted gently with a warm 
rose-sandstone tint rather than crushed black, rich pink-terracotta-
gold midtones balancing naturally against her skin tone.

Style: A vibrant traditional Rajasthani outfit — a bandhani or 
mirror-work lehenga in coral, pink, or turquoise, delicate silver or 
gold jewelry (jhumka earrings, layered necklace), bangles on both 
wrists, hair softly styled with a light dupatta draped over one 
shoulder.

DIRECTED POSE (as if a photographer is instructing her in real time): 
Standing on the street across from the mahal's facade, one hand 
lightly holding the edge of her dupatta as it catches the morning 
breeze, body angled at three-quarters to the camera, head turned back 
toward the lens — freshly generated for this scene, not matching the 
reference photo's original pose.

GENUINE DIRECTED EXPRESSION: A soft, radiant smile with gently 
crinkled eyes, chin very slightly lowered — the natural composed look 
right after a photographer says "let the dupatta catch the breeze, 
now look back at me," not a stiff posed grin, and not simply copied 
from the reference photo's expression.

RETOUCH PIPELINE: Frequency-separation-style retouching — smooth 
tonal transitions on skin while fully preserving fine pore-level 
texture and natural color variation under the warm morning light. 
Subtle dodge-and-burn to retain natural facial planes, no flattened 
or washed-out glow.

FINISHING: Fine film grain overlay at low opacity, very slight 
chromatic softness at the frame edges as a real lens would render, no 
digital sharpening halos, natural imperfect crop as if not perfectly 
composed in-camera.

Ensure zero facial distortion, correct hand anatomy, and consistent 
shadow direction matching the warm morning key light.

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