A room hangout of 3 female students AI Image Prompt
Using REFERENCE_0 as the room base, create a natural, realistic photo showing that this same room has become the hangout spot for exactly {argument name="number of students" default="3"} {argument name="student description" default="20-year-old female university students"}. Keep the room layout, furniture, curtains, bed, TV, hanging clothes, storage drawers, lighting, and camera angle from REFERENCE_0 largely unchanged. Use REFERENCE_1 only as inspiration for adding a lived-in, casual hangout mess, but do not make the room dirty or rundown. Add exactly 3 young women in casual Japanese school-uniform-inspired outfits: white shirts, dark plaid skirts, and ribbon ties. Placement: one sits on the left edge of the bed holding a canned drink, one sits cross-legged on the bed near the center holding a phone, and one sits in the foreground on the right side facing slightly toward the others while holding a canned drink. Make their faces anonymized/blurred with simple rectangular blur blocks. Add casual party/snack items on the low black table: exactly 7 visible items — a large open snack bag, a cup noodle container, a paper plate, a canned drink, a small packaged snack, a blue tissue/snack box, and the existing remote/earbud-style small items. The scene should feel like friends chatting and snacking after school, candid smartphone photography, realistic indoor lighting, no dramatic styling, no text overlays, no extra people.
Content: Subject: room (based on REFERENCE_0), 3 young women in Japanese school uniform style, 7 snack items. Scene: friends chatting and snacking after school indoor hangout. Style: lived-in, realistic, candid smartphone photo. Composition: keep camera angle from REFERENCE_0. Lighting: natural indoor lighting, no dramatic styling. Colors: school uniform palette (white shirts, dark plaid skirts). Texture: realistic. Lens: smartphone style. Uses variables for number and description. Depends on two reference images.
Pros: Rich details (precise positions and item count); flexible with variables.
Cons: Too many constraints may limit creativity; reference images may increase generation difficulty.
Reference image: Explicitly depends on reference images (REFERENCE_0 and REFERENCE_1)
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