
Anime Girl Stairwell Composite
Adds a single anime-style girl into the provided stairwell photo while preserving the original environment and lighting.
This is a gpt-image-2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.
Prompt
Copy-ready prompt
Using the provided reference image as a background, composite a full-body anime-style girl onto the hallway platform. Place her on the right side, below the window and fluorescent light, near the existing "4/3" mark on the wall. She should be {argument name="character type" default="A shy schoolgirl"} Keep it{argument name="hair style" default="Light brown short wavy pigtails"} Wearing{argument name="outfit" default="A dark gothic Lolita-style shirt and a printed mini skirt, paired with black over-the-knee socks."} and wear{argument name="accessory" default="Round-framed glasses"} She was shown standing with her feet together, hands clasped in front of her, looking slightly shy towards the camera. The perspective, proportions, shadows, and warm backlighting from the windows and fluorescent lights were adjusted to make her appear as if she were naturally photographed in the space. The stairwell architecture, handrails, windows, wall switches, tactile paving, and the "4/3" lettering on the wall were preserved, and the final image was given a soft, cinematic, anime-style composite with a slight haze and gentle contrast.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Variable
character type
Default
A shy schoolgirl
Variable
hair style
Default
Light brown short wavy pigtails
Variable
outfit
Default
A dark gothic Lolita-style shirt and a printed mini skirt, paired with black over-the-knee socks.
Variable
accessory
Default
Round-framed glasses
Reuse and source notes
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Where does this case come from?
This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.