📸 INPUT REFERENCE: Use the uploaded photo as the base — preserve the subject's exact face, body proportions, pose, hair, skin tone and background precisely as they appear in the original 👔 OUTFIT REPLACEMENT: Replace the subject's current clothing with the outfit specified by the user (e.g. "formal black business suit," "traditional wedding outfit," "casual denim jacket and white tee," "elegant evening gown"). Render the new outfit with realistic fabric texture, accurate drape and fold based on the subject's actual pose and body position 🧵 FIT & PHYSICS ACCURACY: Ensure the new clothing fits naturally around the body's real contours, shoulders, and posture — fabric should fold, stretch and hang exactly as real clothing would given the subject's specific pose, with no stiff, flat or pasted-on appearance 💡 LIGHTING MATCH: Match the lighting direction, color temperature, shadow softness and highlight intensity of the new outfit to the lighting already present in the original photo, so it looks like the subject was photographed wearing it from the start 🎨 COLOR & DETAIL ACCURACY: Render accurate fabric type (cotton, silk, denim, wool, sequins, etc.), correct stitching, buttons, collar and accessory details appropriate to the specified outfit 🚫 IDENTITY PRESERVATION: Never alter the subject's face, body shape, skin tone, hair, or pose — only the clothing changes 📐 ASPECT RATIO: Preserve the original photo's exact aspect ratio and framing
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Change Outfit or Clothing in Photo is a transformation prompt for GPT Image 2, composed for a 16:9 image. "formal black business suit," "traditional wedding outfit," "casual denim jacket and white tee," "elegant evening gown").
"formal black business suit," "traditional wedding outfit," "casual denim jacket and white tee," "elegant evening gown").
Keep the prompt structure, then replace the main subject, action, or environment in ""formal black business suit," "traditional wedding outfit," "casual denim jacket and white tee," "elegant evening gown").".
Adjust one visual signal at a time, such as "change outfit ai", "clothing swap photo", "virtual", "try on outfit", so you can identify which instruction changes the result.
Use the wide frame to establish the environment, place supporting details around the subject, and maintain a clear focal point.
Use one clear reference image and retain the identity-lock instructions when changing clothing, lighting, background, or camera direction.
Use direct natural-language edits after the first generation. State what must remain unchanged before describing the single element you want to revise.
Judge the result by how clearly it communicates the intended transformation direction while keeping the subject, environment, and visual treatment consistent.
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