
Retro 90s Japanese Anime Scenes
A comprehensive collection of prompts for creating nostalgic Japanese anime illustrations with 90s aesthetics, including train, diner, and bedroom scenes.
Ini adalah contoh kasus GPT Image 2 untuk Anime & Game . Gunakan contoh siap salin di bawah ini untuk menghasilkan visual serupa, dan tinjau atribusi Awesome GPT Image 2 Prompts serta hak penggunaan komersial sebelum digunakan kembali.
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Prompt siap salin
A nostalgic 1980s–1990s {argument name="style" default="Japanese anime cinematic illustration"}, highly detailed hand-painted background, warm golden-hour and neon lighting, soft film grain, subtle watercolor texture, expressive anime characters with natural proportions and detailed eyes, realistic architecture and interiors, slice-of-life atmosphere, emotional storytelling, cozy urban Japan, dramatic perspective, beautiful reflections, volumetric sunlight, soft shadows, rich color grading, intricate environmental details, quiet contemplative mood, Makoto Shinkai-inspired lighting, vintage Studio Ghibli atmosphere, city pop aesthetic, retro Japanese nostalgia, analog photography feel, perfectly composed cinematic framing, ultra-detailed digital painting, masterpiece quality. 1. {argument name="scene one" default="Train Scene: A Japanese high school boy in a black gakuran uniform sitting alone inside an old commuter train at sunset"} 2. {argument name="scene two" default="Retro Diner: A stylish young woman sitting in a retro American-style diner at night, drinking a vanilla milkshake"} 3. Cozy Bedroom: A girl reading a book on the floor of her cozy bedroom, morning sunlight streaming through lace curtains, sleeping cat on the windowsill, cassette player, vintage posters, books, plants, soft pastel colors, warm peaceful atmosphere, nostalgic 90s Japanese bedroom. 4. Japanese Street: A schoolgirl walking through a quiet suburban Japanese neighborhood during golden hour, sailor school uniform, utility poles, narrow residential street, glowing clouds, warm evening light, peaceful everyday life, highly detailed environment, cinematic perspective.Variabel perintah
Placeholder argumen yang dapat diedit ditemukan dalam prompt, beserta nilai defaultnya.
Variabel
style
Bawaan
Japanese anime cinematic illustration
Variabel
scene one
Bawaan
Train Scene: A Japanese high school boy in a black gakuran uniform sitting alone inside an old commuter train at sunset
Variabel
scene two
Bawaan
Retro Diner: A stylish young woman sitting in a retro American-style diner at night, drinking a vanilla milkshake
Best for
- - Anime & Game visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Teks ke Gambar
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Diimpor dari Awesome GPT Image 2 Prompts . Atribusi diperlukan. Status penggunaan komersial adalah allowed ; tinjau hak sumber sebelum penggunaan berbayar.
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Catatan penggunaan kembali dan sumber
Gunakan perintah ini dengan aman setelah melihat pratinjau kasus.
- 1.Salin perintah tersebut atau buka langsung di Dovoo dengan tombol pembuatan.
- 2.Sesuaikan variabel, rasio aspek, dan gambar referensi untuk kebutuhan Anda sendiri.
- 3.Sebelum mempublikasikan atau menggunakan untuk tujuan berbayar, verifikasi hak sumber, persyaratan atribusi, dan risiko merek atau citra.