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Minimal In the Mood for Love Typography Poster preview image
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Minimal In the Mood for Love Typography Poster

A refined vertical art-house poster using four large stylized Chinese characters, a small English subtitle, and flowing red-gold line ribbons.

This is a GPT Image 2 prompt case for Graphic & Poster. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.

Need the full prompt set? Use the Graphic & Poster topic hub for more related examples, or open the GPT Image 2 prompt library for the full example index, reusable structures, and source attribution.
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Prompt

Copy-ready prompt

Create a minimalist vertical typographic poster on a warm ivory paper background. Center the composition with four oversized Chinese characters arranged as a 2 by 2 grid spelling {argument name="Chinese title text" default="In the Mood for Love"}, drawn in an elegant ultra-thin monoline style with tall geometric proportions, rounded stroke ends, and large airy spacing. Use dark charcoal-black strokes for the characters, with a restrained modern calligraphic feel rather than a standard font. Between the top and bottom character rows, place a small centered English subtitle in widely spaced uppercase letters reading {argument name="English subtitle" default="IN THE MOOD FOR LOVE"}, in a clean thin sans-serif font. Add two flowing ribbon-like decorative strokes made of many fine parallel contour lines in a soft red-to-golden-orange gradient: one sinuous vertical ribbon weaving from the upper left through the center toward the lower right, and one shorter horizontal wave crossing the upper-right characters. The ribbons should appear delicate, translucent, and layered behind and between the black character strokes, evoking silk, smoke, or musical lines. Keep the layout uncluttered, symmetrical but organic, with generous margins, no border, no photographs, no extra text, no logos, and no watermark. Use a refined art-house film poster aesthetic combining Chinese typography, modern graphic design, and subtle romantic warmth.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

2
Variable
Chinese title text
Default
In the Mood for Love
Variable
English subtitle
Default
IN THE MOOD FOR LOVE

Best for

  • - Graphic & Poster 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: Text to Image
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 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.
Imported from Awesome GPT Image 2 Prompts. Attribution is required. Commercial-use status is allowed; review source rights before paid usage.

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Reuse and source notes

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  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.

Where does this case come from?

This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.