X/Twitter screenshot: two posts with blurred fashion photos AI Image Prompt
Goal: Create a realistic screenshot-style image of an X/Twitter timeline showing two stacked posts by the same verified account, featuring soft, sunlit fashion photo thumbnails with intentionally blurred faces. Canvas: Vertical mobile screenshot, approximately 606 × 724 px, white X/Twitter interface background, thin pale divider lines, left-aligned timeline column, cropped as if captured from a phone or browser feed. Layout: Show exactly 2 tweets stacked vertically from the same account. Each tweet has a small circular anime-style profile avatar on the far left, bold display name {argument name="display name" default="guan"}, blue verified check, handle {argument name="handle" default="@Justwanttoslee5"}, date {argument name="date" default="5月9日"}, a three-dot menu at the top right, and a small muted/visibility-style icon near the upper right edge. The tweet text is in Chinese: first tweet text {argument name="first tweet text" default="你跑,我追,你插翅难飞"}; second tweet text {argument name="second tweet text" default="摔了吧"}. Top tweet media: Include exactly 3 rounded-corner image cards in a horizontal row. Card 1 shows a full-body outdoor portrait of a young woman in a frilly white lace mini dress, white headpiece, thigh-high socks or boots, standing on a sunlit garden path near concrete stairs. Card 2 shows a closer leaning pose in the same outfit with one hand near the chin, shallow depth of field, bright sunlight, plants and steps behind. Card 3 is partially cropped on the right edge, showing the same subject close-up with hands near the face; overlay a dark circular right-arrow button centered over this partial card. All visible faces must be strongly blurred with a square/soft mosaic blur. Top tweet engagement row: Under the media row show exactly 5 engagement items/icons from left to right: reply icon with count 1, repost icon with count 2, heart icon with count 10, analytics bars icon with count 1,106, bookmark icon, and share/upload icon at the far right. Use muted dark blue-gray Twitter UI icon styling. Second tweet media: Include exactly 2 rounded-corner image cards side by side below the second tweet text. Card 1 shows the same woman in the white lace outfit on all fours or falling forward on the sunny garden path, photographed from behind/side, with long dark hair moving and stairs/plants in the background. Card 2 shows a front/side crawling or fallen pose on the path, long dark hair falling forward, same outfit, concrete stairs and blue sky behind, with the face blurred by a square/soft mosaic. Visual style: Make the UI crisp and realistic like an actual X/Twitter screenshot, while the embedded photos are soft, high-key, slightly dreamy, warm sunlight, shallow depth of field, pale beige concrete, green weeds and small flowers, outdoor stairway setting. The subject wears a white frilly lace dress, white lace bonnet/headband, and light-colored boots/socks. Keep skin and lighting natural, not glossy or plastic. Constraints: Do not add extra tweets, extra media cards, extra buttons, watermarks, or unrelated text. Maintain the exact count of 2 tweets, 5 total visible media thumbnails, and the engagement counts listed above. Faces in all photo thumbnails must remain blurred and unidentifiable.
Content: Structure: canvas (mobile screenshot size) + layout (two tweets vertically stacked, each with avatar, display name, verified check, date, three-dot menu, mute icon, Chinese text) + top tweet media (3 rounded image cards with pose descriptions, faces blurred) + engagement row (5 icons with counts) + second tweet media (2 cards with fall poses, faces blurred) + visual style (realistic UI, soft high-key sunny, outdoor garden stairs).
Pros: Detailed precision: exact counts of media cards and engagement numbers specified, reducing ambiguity.
Cons: Overly complex and highly structured; AI may struggle to generate all constraints simultaneously; face blur requirement may conflict with other details like lighting and pose.
Reference image: No obvious reference-image dependency
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