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Prompts/AI image prompts/Cream Knit Portrait in Golden Light
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Cream Knit Portrait in Golden Light
auqib@auqibhabib
GPT Image logoGPT Image
PROMPT
Ultra realistic close-up portrait of a beautiful young East Asian woman with the exact facial structure and soft feminine features from the reference image, natural glowing skin, subtle makeup, glossy peach lips, soft dimples, warm gentle smile, relaxed confident expression, medium-length dark brown wavy hair with natural volume and soft flyaways, direct eye contact with camera.

Keep the exact composition, framing, pose, lighting, shadows, and cinematic mood from the original portrait reference. Warm golden hour sunlight hitting half of the face and body, dramatic soft shadows across the chest and background, dark blurred background with rich contrast and shallow depth of field.

Outfit should be elegant minimal aesthetic fashion: cream ribbed knit top, soft beige wool overcoat casually draped over shoulders, delicate gold necklace, luxury clean-girl aesthetic, cozy premium fashion vibe.

Photo should feel natural and candid, not overposed. Preserve realistic skin texture, natural facial proportions, cinematic highlights, smooth warm color grading, luxury lifestyle photography look, ultra detailed, DSLR quality, 85mm lens, f/1.8 depth of field, high sharpness on eyes and face, soft background bokeh, premium Instagram aesthetic, realistic lighting, photorealistic, 4k.

Negative prompt: cartoon, anime, exaggerated smile, oversaturated skin, plastic skin, distorted face, bad anatomy, low quality, blurry eyes, extra accessories, text, watermark, overediting, harsh HDR, duplicate features, unnatural pose, fake AI look, over sharpened skin.

In this collection

Prompt guide · AI image

Cream Knit Portrait in Golden Light — AI Image Prompt

A close portrait combines cream knitwear, a beige coat and warm light against a dark background.

  • ModelGPT Image 2
  • Use casePortraits & characters
  • StyleGolden light
  • CollectionDirectional-Light Beauty Portraits

Why this example is useful

A close portrait combines cream knitwear, a beige coat and warm light against a dark background. Warm light on the face contrasts with the dark blurred background, while cream knit and beige wool keep the wardrobe restrained. Fine hair, skin and ribbed fabric detail prevent the close crop from becoming a smooth, flat surface.

How to adapt the method

Supply your own portrait reference for identity, then adapt clothing and light. The prompt asks to preserve that reference’s face and framing; the creator’s input is not supplied. Compare facial features to any authorized reference and inspect neckline, coat overlap and necklace. Keep the warm light directional; a request for exact matching is not proof of unchanged identity or composition.

How to use this prompt

  1. 1

    Read the complete prompt alongside the result. Identify the subject, framing, lighting and visual style before changing the brief.

  2. 2

    Open the selected recipe in Studio with its model and starting settings. Check the available version, frame and resolution before generating; a size written in the source prompt is not an output setting or a guarantee.

  3. 3

    Use the customization fields below to rewrite the brief: composition. Keep the composition and other constraints that make this example useful. Check the current credit quote before submitting.

What to check in your result

Compare the result with the chosen example: subject position, light direction and the balance between foreground and background. Inspect hands, faces, product shapes and any text at full size. Change one variable at a time so you can judge what improved.

Review the selected prompt and settings in Studio, then submit when you are ready.

Variables to customize

composition
A close portrait combines cream knitwear, a beige coat and warm light against a dark background.

Source and attribution

This example is attributed to auqib @auqibhabib.

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The work remains attributed to its public source; the link preserves access to its original context.

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