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1990 年代 OVA 动画写实风格提示词

Prompt
1990s OVA anime realism (Prod I.G + Otomo), Japanese full-color, crisp thin genga linework, restrained cel shading + gentle gradients, subtle film grain, sharp shadows, high-contrast rim light. 24fps ultra-fast sakuga cuts, smear+impact frames, light motion blur
Category
创意图片
Model
seedance-2.0
Creator
Horace Dodd
Views2
Source ID
846241fa-3ecf-4232-b08e-c6479ea1c01f
Published
Mar 8, 2026
Studio
App
RoutebookSkills

Guide

About "1990 年代 OVA 动画写实风格提示词"

What is this prompt for?

"1990 年代 OVA 动画写实风格提示词" AI image prompt for seedance-2.0 (创意图片). 一个详细的提示，旨在生成 1990 年代 OVA 动画风格的动画，强调写实主义、清晰的线条、克制的赛璐珞着色、微妙的胶片颗粒以及高对比度照明，以实现超快、富有冲击力的作画（sakuga）镜…

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 "1990 年代 OVA 动画写实风格提示词".

  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 "1990 年代 OVA 动画写实风格提示词" prompt?
It is an AI image-generation prompt for seedance-2.0 in the 创意图片 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.