Sports Car & Airliner Hangar — Photorealistic Sora 2 Prompt
Generate a stunning, photorealistic scene of a sports car parked before a massive airliner in a polished, cinematic hangar setting.
A photorealistic, high-resolution commercial photograph of a argcar model and color: bright blue Alpine A110 R sports car parked in the foreground inside a massive aircraft hangar. The car features a black carbon fiber hood, black roof, black alloy wheels, and a front license plate reading "arglicense plate text: A110 R". Directly behind the car, dominating the background, is a argairplane model: white Airbus A320 commercial airliner with a blue tail. The hangar has a highly polished, reflective concrete floor that mirrors the car and plane. To the left, a sign on the metal wall reads "arghangar sign text: HANGAR 05 MAINTENANCE". The hangar doors are wide open, revealing a bright, overcast sky and a distant cityscape. The lighting is soft and cinematic, highlighting the sleek aerodynamic curves of both vehicles.
このプロンプトについて
Generate a stunning, photorealistic scene of a sports car parked before a massive airliner in a polished, cinematic hangar setting. Use it as a コンセプトアート starting point for GPT Image 2: keep the visual structure and style constraints intact, then swap in your own subject, brand, or scene.
Common directions include gptimage2api prompts, gptimage2api, and en. Treat these tags as creative cues; the prompt structure and preview image are the more useful guide.
Start by replacing car model and color, license plate text, airplane model, and hangar sign text, then keep the camera, composition, and material cues in the same order. This makes the output easier to compare across variations.
このプロンプトの使い方
- Copy the entire prompt text.
- Select your preferred AI image model (like Sora or similar).
- Customize the variables in the curly brackets
{}to change the car model, airplane type, and text. - Paste the customized prompt into your model's interface.
- Generate the image and refine your variables for perfect results.
