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冬季动漫写实序列
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冬季动漫写实序列

Prompt
Cinematic cozy winter anime realism sequence of a fluffy white ragdoll cat wandering through a snowy Japanese town at night, wearing a knitted scarf and warm winter coat. Snow gently falls under glowing red lanterns while icy streets reflect warm shop lights. The cat slowly walks past tiny ramen shops, steaming food stalls, and snow-covered bicycles parked beside wooden buildings. Soft ambient snowfall and cold winter wind create a peaceful emotional atmosphere.
The cat enters a cozy fish market tucked beneath glowing lanterns and snowy rooftops. Cinematic close-up shots of fresh salmon and tuna resting on crushed ice, warm steam rising from nearby soup stalls, snowflakes melting on wooden counters. Friendly seafood vendors wrap fresh fish while the cat carefully chooses dinner ingredients. Cozy winter ambience with soft chatter and distant train sounds.
Next, the cat stops at a small roadside sweet potato and roasted chestnut stand beside a snowy alley. Slow-motion shots of steam rising from hot roasted snacks, glowing charcoal fire, warm hands exchanging food. The cat places roasted chestnuts into a small canvas tote bag while snow continues falling softly around lantern-lit streets.
The cat walks home through quiet snow-covered Japanese backstreets at blue hour dusk. Cinematic wide shots of snowy rooftops, glowing vending machines, distant temple bells, and warm apartment windows. Footprints form behind the cat in fresh snow while soft wind carries snowflakes through narrow alleyways.
Inside a tiny wooden apartment, the cat relaxes beside a heater and takes a warm bubble bath with steam filling the room. Cozy close-ups of fluffy fur drying beside glowing lamps and knitted blankets. Snow continues falling outside the frosted window.
Final cooking sequence shows cinematic close-ups of fish frying in a pan with sizzling butter and steam, warm golden lighting filling the kitchen. The cat prepares hot soup and roasted chestnuts while snowfall glows softly outside the window. Final emotional scene of the cat sitting beside the snowy window eating dinner peacefully while warm lantern lights reflect across the icy night streets, ultra detailed winter atmosphere, Studio Ghibli inspired realism, cinematic camera movement, shallow depth of field, realistic snow and steam physics, emotional cozy storytelling, 4K animated film quality.”
Category
Posters & Typography
Model
GPT Image 2
Creator
Synthia
Views10
Source ID
21477
Published
May 19, 2026

Guide

About "冬季动漫写实序列"

What is this prompt for?

"冬季动漫写实序列" AI image prompt for GPT Image 2 (Posters & Typography). 一个复杂的电影级序列提示词,描绘了一只猫在雪中日本小镇的场景,专为视频生成而非静态图像格式化。 Copy it on Picva and recreate the look in on…

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 "冬季动漫写实序列".

  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 (GPT Image 2)

    Prefer GPT Image 2. 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 "冬季动漫写实序列" prompt?
It is an AI image-generation prompt for GPT Image 2 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 GPT Image 2. 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.