2x2 网格，16:9，AI 自选不同的病毒式传播话题，从零开始创作，不要当作编辑处理：

2x2 grid, 16:9, AI picks different viral topics, create from scratch, do not treat as edit: class ViralEyewitnessScene: def __init__(self, topic): self.topic = topic self.subject_form = infer_physical_manifestation(topic) self.event_type = infer_plausible_public_sighting(topic) self.environment = infer_best_everyday_environment(topic) self.capture_viewpoint = infer_bystander_viewpoint(topic) def subject_logic(self): return { "scale": "unexpectedly large, notable, rare, or bizarre", "presence": "physically grounded and believable", "condition": "real-world wear, transport hardware, practical constraints" } def environment_logic(self): return { "setting": self.environment, "public_context": "ordinary daily life continues around it", "supporting_details": [ "traffic", "signage", "weather", "infrastructure", "scale references", "bystanders", "vehicles" ] } def capture_logic(self): return { "camera_style": "candid, viral, observational", "viewpoint": self.capture_viewpoint, "framing": "slightly imperfect, believable, non-cinematic", "mood": "surprised eyewitness realism" } def render(self): return f""" Render {self.subject_form} in a surprising but plausible public/transport scenario, in {self.environment}, captured from {self.capture_viewpoint}, with documentary realism and viral-image energy. """

2x2 网格，16:9，AI 自选不同的病毒式传播话题，从零开始创作，不要当作编辑处理： class ViralEyewitnessScene: def __init__(self, topic): self.topic = topic self.subject_form = infer_physical_manifestation(topic) self.event_type = infer_plausible_public_sighting(topic) self.environment = infer_best_everyday_environment(topic) self.capture_viewpoint = infer_bystander_viewpoint(topic) def subject_logic(self): return { "scale": "unexpectedly large, notable, rare, or bizarre", "presence": "physically grounded and believable", "condition": "real-world wear, transport hardware, practical constraints" } def environment_logic(self): return { "setting": self.environment, "public_context": "ordinary daily life continues around it", "supporting_details": [ "traffic", "signage", "weather", "infrastructure", "scale references", "bystanders", "vehicles" ] } def capture_logic(self): return { "camera_style": "candid, viral, observational", "viewpoint": self.capture_viewpoint, "framing": "slightly imperfect, believable, non-cinematic", "mood": "surprised eyewitness realism" } def render(self): return f""" Render {self.subject_form} in a surprising but plausible public/transport scenario, in {self.environment}, captured from {self.capture_viewpoint}, with documentary realism and viral-image energy. """