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ModelsCreatorsSeedance 2.5Seedance 2.0GPT Image 2GeminiNano Banana ProClaudeClaude Opus 5.5Grok ImagineVeoKlingQwen ImageGPT Image 1.5MiniMax H3

Female Surgeon's Hospital Rescue Mission

Creator · saniaspeaks_

AI VideoX2026-09-17Added 09/25/2026Independently retestedSeedance
View original source ↗
Source ♥ 218

Prompt

Okay this feels straight out of GTA
 
Seedance 2.5 on @itsPolloAI 

Prompt

Create a 30-second ultra-realistic AAA third-person medical action game mission set inside a modern Japanese hospital, with the feel of premium GTA-style gameplay.
NAGI: Use the exact same NAGI identity and face from @ Image1 throughout. Young Japanese female surgeon with long straight black hair, blunt bangs, blue surgical scrubs, cap, mask, gloves, and hospital shoes. Perfect character consistency.

GAMEPLAY: One continuous playable third-person over-the-shoulder take from 0–27 seconds. Natural running, turning, grabbing equipment, opening doors, interacting with machines, and performing procedures. No montage or random cuts. One hard cut only at 27 seconds.

HUD throughout:
TOP LEFT: NAGI / DOCTOR LV. 12
TOP CENTER: MISSION: SAVE THE PATIENT
BOTTOM RIGHT: HEALTH: 100% / TIME: 03:42

0–4s — CHECK VITALS
NAGI rushes into the emergency room, checks the unconscious patient's unstable monitor, and connects the monitoring equipment.
HUD: OBJECTIVE 1/5 — CHECK PATIENT VITALS → OBJECTIVE COMPLETE

4–8s — STABILIZE
She connects an IV and adjusts the patient's oxygen support. The monitor becomes slightly more stable.
HUD: OBJECTIVE 2/5 — STABILIZE PATIENT → OBJECTIVE COMPLETE

8–12s — COLLECT TOOLS
NAGI runs to the preparation area, opens a medical cabinet, grabs a sterile surgical tray, receives another instrument from a nurse, and rushes back.
HUD: OBJECTIVE 3/5 — COLLECT SURGICAL TOOLS → OBJECTIVE COMPLETE

12–17s — SURGERY
She enters the operating room, positions herself beside the patient, surgical lights activate, and she performs the critical procedure with controlled, non-graphic movements.
HUD: OBJECTIVE 4/5 — COMPLETE CRITICAL PROCEDURE

17–22s — COMPLICATION
The monitor suddenly alarms and vital signs drop. NAGI immediately checks the monitor, adjusts support equipment, signals the team, and continues the procedure.
HUD: WARNING — PATIENT UNSTABLE → STABILIZE PATIENT

22–27s — SAVE PATIENT
NAGI completes the final step. The monitor becomes steady, the alarm stops, and the team relaxes.
HUD: OBJECTIVE 5/5 COMPLETE → PATIENT STABLE → SURGERY SUCCESSFUL → MISSION COMPLETE

27–30s — FINAL SHOT
One hard cut to a locked frontal gameplay-style shot outside the operating room. NAGI walks out exhausted but relieved and removes her mask while a nurse follows. Through the glass, the team monitors the patient.

Final HUD: MISSION COMPLETE / PATIENT SAVED / RANK: S

VISUAL STYLE: Photorealistic AAA game-engine graphics, realistic Japanese hospital, detailed medical equipment, natural character physics, realistic lighting, reflections, shadows, cloth and glove movement, subtle camera shake. No anime, cartoon, fantasy, superhero effects, or gore.

AUDIO: Hospital ambience, footsteps, monitor beeps, equipment sounds, emergency alarm, Japanese nurse/NAGI dialogue, and tense AAA game music building toward the mission completion.
≡Provenance · verifiedPublished prompts are human-checked against the original post; platform-reconstructed prompts are not accepted.Compare with source ↗

Models & stability

Recommended models

Seedance
Stability
73 / 100
Cost
Medium
Related SkillsGameplay capture with HUD and stream overlay ↗

Independent retest evidence

See what the same prompt generated in our test.

Retest output · not the creator's original
VideoGenerated evidenceAI judged

Grok Imagine

Oct 3, 2026

Retest score72.8
Your browser does not support video playback.
claude-sonnet-5 · 71.9gpt-5.6-sol · 73.8gap · 1.9
  • Cross-model retest: the recommended model is Seedance, and this run used Grok Imagine. The result shows how the same prompt carries over to Grok Imagine; it does not show what the creator got with the original model.
  • The retest score is the mean of two AI judges (0–100) for this single generation. No person has reviewed it, and it is not a success rate.

Model and resolution follow the provider task receipt.

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Each detail page keeps the original result, the prompt, and retest evidence in one reading path.