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都市奇幻 RPG 汽车追逐

Prompt
以都市奇幻动作 RPG 风格呈现的街头汽车追逐场景,适用于手游中高稀有度角色介绍 PV。非写实汽车广告,而是高质量 3D 卡通/赛璐珞风格动漫游戏视频。基于源图像保持角色一致性,包括面部、眼睛、发型和服装。角色驾驶着与其审美相符的紧凑型跑车。灯光、霓虹色彩和特效经过优化,使角色看起来优雅且稀有。高质量多层赛璐珞渲染,带有细腻的发丝反光和宝石般的双眼。场景设定在夜间商业街。序列以穿过十字路口的漂移开始,采用贴地摄像机视角,展现被路灯照亮的车手面部。中段包含快节奏的城市追逐,采用多种视角(低角度、保险杠视角、车内视角)。包含与角色主题相符的神秘发光元素,如魔法导航线或数字广告牌。结尾以精准的漂移和车内角色面部特写结束,展现出冷静、自信的表情。无标志、无水印、无扭曲特征。
Category
Posters & Typography
Model
seedance-2.0
Views0
Source ID
7009
Published
Jul 9, 2026

Guide

About "都市奇幻 RPG 汽车追逐"

What is this prompt for?

"都市奇幻 RPG 汽车追逐" AI image prompt for seedance-2.0 (Posters & Typography). 一份详细的电影级提示词,用于制作高质量 3D 卡通/赛璐珞风格动漫游戏 PV,展现具有角色一致性的都市汽车追逐场景。 Copy it on Picva and recrea…

The full copyable prompt and example visuals above are ready for AI image generation or one-click recreate in Picva.

How to use this prompt

  1. Step 1

    Open the prompt detail

    Review the example visuals, category, and full prompt text for "都市奇幻 RPG 汽车追逐".

  2. Step 2

    Copy the prompt

    Copy the prompt body from this page, or load it directly in Studio.

  3. Step 3

    Pick a model (seedance-2.0)

    Prefer seedance-2.0. If you switch models, keep subject and composition and tweak style terms.

  4. Step 4

    Generate and export

    Recreate the look in Picva, or export into your workflow for editing and publishing.

FAQ

What is the "都市奇幻 RPG 汽车追逐" prompt?
It is an AI image-generation prompt for seedance-2.0 in the Posters & Typography category. This page includes the full prompt text, example visuals, and a one-click recreate path in Picva.
How do I use this prompt to generate an image?
Copy the prompt from this page, or use Generate / Studio. Paste it into a compatible image model, or recreate the look in Picva with optional reference images.
Which model is this prompt for?
This page lists seedance-2.0. Most descriptive prompts also transfer to nearby image models such as GPT Image, Flux, or Midjourney with light style tweaks.
Can I use the result commercially?
You can usually copy the prompt for creation, but commercial use of the final image depends on the model terms, reference-image rights, and the generated content. Follow the source author and platform rules.