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Golden Field Sunset Portrait preview image
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Golden Field Sunset Portrait

A cinematic low-angle rural portrait of two people resting in a wheat field at golden hour with warm filmic lighting.

This is a gpt-image-2 prompt case for 人像角色. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Create a cinematic, realistic 4:3 landscape photograph depicting two young people lying supine in a dry, golden wheat field, shot from a very low angle through the tall grass stalks in the foreground. The scene should evoke a tranquil, nostalgic, and intimate atmosphere, with warm afternoon backlighting, a hazy sun halo in the upper left corner, soft film grain, shallow depth of field, and gentle earth tones. The person on the left is wearing {argument name="left outfit" default="Loose white short-sleeved shirt"} The body is positioned slightly back, with one arm bent close to the head; the person on the right is wearing {argument name="right outfit" default="White sleeveless floral top"} Closer to the camera, with the lower edge cropped. Their bodies are relaxed, partially obscured by straw. An opaque, dark brown rectangular masking block is placed above each of their faces, centered and covering one face without revealing any facial features. The background showcases vast rural fields, dark treelines, soft distant mountains, and three slender telephone or communication poles standing on the horizon. Employing natural, imperfect composition, blurred foreground grass, and rim lighting at the golden hour, the work achieves a documentary-style fashion photography feel. No text, no watermark, no additional figures.

Prompt variables

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

2
Variable
left outfit
Default
Loose white short-sleeved shirt
Variable
right outfit
Default
White sleeveless floral top

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This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.