
Mount Fuji Train Wallpaper
Creates a cinematic 16:9 travel wallpaper by transforming a reference street scene into a Japanese train-and-Mount-Fuji landscape.
Ini adalah contoh kasus GPT Image 2 untuk Pemandangan & Alam . 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
Using REFERENCE_0 only as the cinematic desktop-wallpaper inspiration, replace the beachside Venice street scene with a new everyday travel scene in Japan. Create a wide 16:9, ultra-detailed 4K wallpaper showing {argument name="destination landmark" default="Mount Fuji"} dominating the background, with a {argument name="vehicle" default="Japanese commuter train"} crossing a bridge in the foreground during {argument name="time of day" default="warm golden-hour sunset"}. Include exactly 3 visible connected train cars on 1 long bridge, with a riverbed below, wooded hills to the left, distant towns and layered mountains at the base of the landmark, and a clean blue sky with a few softly lit clouds. Preserve the reference’s realistic travel-photography feel, warm cinematic lighting, natural color grading, sharp detail, and wallpaper-friendly composition, but do not keep the original palm trees, ocean beach, shops, cars, road, or signage. No text, no logos, no people as main subjects, no watermark.Variabel perintah
Placeholder argumen yang dapat diedit ditemukan dalam prompt, beserta nilai defaultnya.
Best for
- - Pemandangan & Alam 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: Gambar 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.
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Diprioritaskan berdasarkan kategori, kompatibilitas mode input, kualitas, dan risiko yang lebih rendah.
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.





