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
ChatGPT写实

"Jaipur Hawa Mahal Morning Editorial Portrait"

来源: @dipanshuvarma65

这条提示词生成的画面:"Jaipur Hawa Mahal Morning Editorial Portrait"。

适用模型:ChatGPT。

可以从提示词确定的画面信息:low angle。

可以改的一个变量:写实 look。

如何使用这条提示词

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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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