9-panel mood-driven travel collage · pure T2I · 模型造虚构 vlogger · creative pre-viz / mood vibe / 灰区"假旅行账号" 用途 · JSON-structured prompt · landmark precision · polished influencer aesthetic (NOT phone-diary)
项目内首验证 2026-05-01 · NYC sample · 9/9 landmarks legit (Statue of Liberty/Times Square/Central Park/Joe's Pizza/Matisse Dance/AMNH T-Rex/Brooklyn Bridge/Empire State/SoHo). Identity consistency 跨 9 panel (虚构 model · 模型自动锁) · JSON-structured prompt parsed 精准. BUT prompt 自我宣称 'unpolished phone diary' 没 deliver (实际 polished Instagram feed). Cross-references signature-snapshot-candid '模型 polish ceiling' 假说 (现 2-sample 支撑). Sister · templates-nyc-travel-vlogger-ref (有 yuan_kid ref 版 · 1 张真人 → 9-panel 'you in NYC'). 原 id storyboard-3x3-rhythm-travel-template (Option C refactor 2026-05-01 · 移到 templates 轴).
date: '2026-05-01T01:43:12+08:00'
result: partial
failure_modes:
- >-
'Low resolution / slight blur / motion blur' anchors not honored · output is sharp ·
indistinguishable from polished influencer feed
- >-
'Unpolished travel diary feel' anchor not honored · output is curated Instagram-grade
composition · not phone-diary
- >-
'Slightly washed out or overexposed' anchor partially honored · only 1/9 panel shows mild
overexposure
- >-
Selfie angle anchor partially honored · 2/9 panels (top-left + bottom-center) read as selfies ·
others are 3rd-person
- >-
Confirms model 'polish ceiling' hypothesis from signature-snapshot-candid v1 (cafe rainy window)
· 2 independent prompts fail same anchor cluster
prompt:
text: |-
{
"Objective": "Generate a 3x3 grid-style image prompt featuring a highly attractive female travel vlogger exploring iconic locations in New York City, captured as low-quality smartphone photos.",
"Persona Details": {
"Character": "Female travel vlogger",
"Appearance": "Extremely beautiful, expressive, fashionable casual travel outfits",
"Mood": "Energetic, adventurous, candid",
"Style": "Influencer-style but captured in imperfect, low-quality smartphone photography"
},
"Scene Composition": {
"Layout": "3x3 grid collage (9 images total)",
"Image Quality": "Low resolution, slight blur, inconsistent lighting, casual smartphone aesthetic",
"Camera Style": "Handheld, selfie angles, candid shots, slight motion blur"
},
"Grid Elements": [
{"Position": "Top Left", "Scene": "Statue of Liberty in background, vlogger smiling in selfie pose"},
{"Position": "Top Center", "Scene": "Times Square at night with neon lights, vlogger mid-walk candid shot"},
{"Position": "Top Right", "Scene": "Central Park greenery, relaxed sitting pose on bench"},
{"Position": "Middle Left", "Scene": "Famous NYC food spot (e.g., pizza slice or street food), vlogger eating and laughing"},
{"Position": "Middle Center", "Scene": "Inside Metropolitan Museum, posing next to Matisse's 'Dance' painting"},
{"Position": "Middle Right", "Scene": "Museum of Natural History, standing next to T-Rex fossil skeleton"},
{"Position": "Bottom Left", "Scene": "Brooklyn Bridge walking shot, wind-blown hair candid"},
{"Position": "Bottom Center", "Scene": "Empire State Building viewpoint selfie"},
{"Position": "Bottom Right", "Scene": "Street scene in SoHo or DUMBO, casual walking candid shot"}
],
"Lighting and Aesthetic": {
"Lighting": "Natural, inconsistent lighting conditions (day/night mix)",
"Color Tone": "Slightly washed out or overexposed in some frames",
"Vibe": "Authentic, unpolished travel diary feel"
},
"Response Format": {
"Type": "Image generation prompt",
"Structure": "Detailed multi-scene description formatted for AI image generation systems"
}
}
refs: []
provider:
id: gpt_image_2
relay: apimart
config:
aspect_ratio: '1:1'
size: '1:1'
'n': 1
output:
path: ./nyc_travel_vlogger_v1.png
bytes: 2569926
wall_seconds: 45.9
task_id: task_01KQFQR83KY9XZG31HA4B89NR7
script: experiments/nyc_travel_vlogger_test/test_v1.py
cost_yuan: 0.5
notes: |
User-provided viral prompt · GPT Image 2 · 9-panel NYC travel vlogger · JSON-structured.
RESULTS:
✅ Landmarks recognizability: 9/9 perfect (Statue of Liberty · Times Square neon ·
Central Park bench + skyline · Joe's Pizza signage · Matisse 'Dance' real painting ·
AMNH T-Rex · Brooklyn Bridge cables · Empire State at dusk · SoHo cobblestone+cast-iron).
✅ Identity consistency: same female across 9 panels (dark hair · similar features) ·
model honored implicit "consistent character" without explicit anchor.
✅ Scene specificity: JSON-structured prompt parsed precisely · each Position rendered
to its Scene with Higgsfield-grade fidelity.
✅ Lighting variation: day/night mix honored (Times Square night neon · Empire dusk ·
Central Park day · Brooklyn Bridge afternoon).
⚠ SNAPSHOT_CANDID aesthetic anchors NOT honored (see failure_modes).
Output is polished Instagram travel feed · NOT unpolished phone diary as prompt claimed.
CROSS-VALIDATES signature-snapshot-candid v1 finding: model has "polish ceiling" ·
text/structure anchors don't override polish prior. 2 independent prompts (cafe rainy
window + NYC vlogger) both partial-fit on same axis. Hypothesis strengthened to
validated_2plus tier on the failure mode itself.
PROMPT MARKETING vs REALITY: the prompt advertises 'low quality smartphone aesthetic'
but delivers polished influencer content. The viral appeal is BECAUSE it's polished
(not because authentic). This is brand-positioning rhetoric · not honest description.
recipes/image_gen/gpt_image_2/prompts/.