GPT image 2.5 via higgsfield
Prompt
ULTRA-REALISTIC CASUAL SMARTPHONE PHOTO COLLAGE, vertical 3:4, consisting of 9 separate candid snapshots arranged in a clean 3×3 grid, capturing the same young East Asian female train attendant during a normal workday aboard a modern passenger train.
Keep the same woman, same facial features, same hairstyle, same overall appearance, and same uniform consistently across every panel. She has dark brown hair neatly tied into a low bun, delicate natural features, subtle makeup, and a youthful appearance.
She wears a professional dark navy train-attendant uniform, a fitted blazer or elegant uniform dress, a red-and-navy patterned neck scarf, a small gold name badge, dark stockings, and simple professional shoes. Her appearance is polished but natural.
Panel 1: accidental close-up smartphone selfie inside the train vestibule, with one finger partially covering the lens, slightly blurry and imperfect, train doors and safety signage visible behind her.
Panel 2: full-body candid shot of her walking through the narrow train aisle while pulling a small black rolling suitcase, slight motion blur, passengers and rows of seats softly visible in the background.
Panel 3: close-up selfie from a train seat beside the window, bright natural sunlight entering through the glass and slightly overexposing part of her face, relaxed expression and casual framing.
Panel 4: candid rear/side view of her standing inside the train carriage while reaching toward an overhead luggage compartment, showing her neat low bun, uniform silhouette, and professional posture.
Panel 5: extremely close casual selfie, her face filling most of the frame with a few loose strands of hair crossing her face, soft focus, slightly imperfect smartphone exposure, playful natural expression.
Panel 6: candid seated selfie inside the train, one hand covering her mouth while laughing, wearing a simple wristwatch, warm carriage lighting, genuine spontaneous moment.
Panel 7: close-up side selfie beside a large train window, railway platform and another train visible outside, natural daylight, slightly cropped face and realistic reflections on the glass.
Panel 8: candid rear view of her walking through the train carriage toward another section, slight motion blur, overhead luggage racks, seats, doors, and realistic train interior details visible.
Panel 9: close-up accidental selfie inside the train vestibule, part of her finger covering the camera lens, playful imperfect framing, realistic train door controls and safety equipment behind her.
The whole collage should feel like real personal smartphone memories from a train attendant's workday, not professional photography. Use inconsistent framing, slight motion blur, accidental cropping, mild lens distortion, subtle exposure variations, realistic carriage lighting, soft focus, natural skin texture, authentic facial expressions, and small photographic imperfections.
No polished studio look, no artificial beauty filter, no plastic skin, no CGI appearance. Raw everyday smartphone photography, authentic behind-the-scenes train-attendant photo diary, realistic modern passenger train interior, spontaneous candid moments, consistent character across all 9 panels, thin white dividers between panels, clean 3×3 grid, vertical 3:4 aspect ratio.
A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000
He created it using Claude, spending just $20 and a month on development
He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000
The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address
Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own
The article includes the ready-to-use configurations.