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Home/Explore/Transformation/Fix Lighting and Exposure in Photo
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Fix Lighting and Exposure in Photo example created for GPT Image 2 in 16:9
16:9 aspect ratio·GPT Image 2·0 copies
Transformation Prompt

Fix Lighting and Exposure in Photo

GPT Image 216:9Transformation
Editable

📸 INPUT REFERENCE: Use the uploaded photo as the base — preserve the subject's exact face, pose, clothing, background and composition precisely as they appear in the original 💡 EXPOSURE CORRECTION TASK: Balance overall exposure so both shadow and highlight areas reveal clear detail — recover detail lost in overly dark underexposed areas, and tone down blown-out overexposed highlights without making the image look flat or artificial 🌗 DYNAMIC RANGE ENHANCEMENT: Improve the natural range between light and dark areas of the photo, similar to a professional HDR correction, while keeping contrast looking natural rather than exaggerated or "AI-processed" 🎨 WHITE BALANCE CORRECTION: Correct any unnatural color cast caused by poor lighting conditions (e.g. yellow indoor lighting, blue shade, greenish fluorescent tint) so skin tones and colors appear natural and true to life 🌥️ BACKLIT/SILHOUETTE FIX: If the subject appears as a dark silhouette against a bright background (common backlighting issue), brighten the subject naturally while preserving the background's correct exposure, blending both seamlessly 🖌️ STYLE: Photorealistic correction — final result must look like it was captured by a skilled photographer in ideal lighting conditions, never artificially brightened or filtered 🚫 IDENTITY PRESERVATION: Never alter facial structure, skin tone identity, or any other feature beyond correcting lighting and exposure 📐 ASPECT RATIO: Preserve the original photo's exact aspect ratio and framing

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AI EngineGPT Image 2
CategoryTransformation
Aspect Ratio16:9
Total Copies0
Reviewed by
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Prompt breakdown

Why this transformation prompt works

Fix Lighting and Exposure in Photo is a transformation prompt for GPT Image 2, composed for a 16:9 image. yellow indoor lighting, blue shade, greenish fluorescent tint) so skin tones and colors appear natural and true to life 🌥️ BACKLIT/SILHOUETTE FIX: If the subject appears as a dark silhouette against a bright background (common backlighting issue), brighten th

Creative direction

Key instructions to preserve

yellow indoor lighting, blue shade, greenish fluorescent tint) so skin tones and colors appear natural and true to life 🌥️ BACKLIT/SILHOUETTE FIX: If the subject appears as a dark silhouette against a bright background (common backlighting issue), brighten th

Guardrail📸 INPUT REFERENCE: Use the uploaded photo as the base — preserve the subject's exact face, pose, clothing, background and composition precisely as they appear in the original 💡 EXPOSURE CORRECTION TASK: Balance overall exposure so both shadow and highlight a
Visual signals

Details shaping the result

backlightingfix photo lighting aiexposure correction toolbrighten dark photo onlinefix backlit photoai exposure fixcorrect underexposed photohdr photo enhancer ai
Make it your own

How to customize this exact prompt

01

Subject and scene

Keep the prompt structure, then replace the main subject, action, or environment in "yellow indoor lighting, blue shade, greenish fluorescent tint) so skin tones and colors appear natural and true to life 🌥️ BACKLIT/SILHOUETTE FIX: If...".

02

Style and detail

Adjust one visual signal at a time, such as "backlighting", "fix photo lighting ai", "exposure correction tool", "brighten dark photo online", so you can identify which instruction changes the result.

03

16:9 composition

Use the wide frame to establish the environment, place supporting details around the subject, and maintain a clear focal point.

04

Identity consistency

Use one clear reference image and retain the identity-lock instructions when changing clothing, lighting, background, or camera direction.

GPT Image 2 workflow

Test changes without losing the baseline

Use direct natural-language edits after the first generation. State what must remain unchanged before describing the single element you want to revise.

  1. Generate the prompt unchanged to establish a GPT Image 2 baseline.
  2. Keep "yellow indoor lighting, blue shade, greenish fluorescent tint) so skin tones and colors appear natural and true to life 🌥️ BACKLIT/SIL" fixed and adjust only backlighting.
  3. Restore the baseline, adjust only fix photo lighting ai, and compare which version better supports the transformation goal.
Transformation quality check

What to inspect before saving

Judge the result by how clearly it communicates the intended transformation direction while keeping the subject, environment, and visual treatment consistent.

  • Subject: confirm the result still communicates "yellow indoor lighting, blue shade, greenish fluorescent tint) so skin tones and colors appear natural and true to life 🌥️ BACKLIT/SILHOUETTE FIX: If".
  • Visual direction: check that backlighting and fix photo lighting ai support the same result instead of competing for attention.
  • Composition: verify the main subject and important details remain readable inside the 16:9 frame.
  • Constraint: confirm the result follows "📸 INPUT REFERENCE: Use the uploaded photo as the base — preserve the subject's exact face, pose, clothing, background and composition precisely as th".
  • Identity: compare facial structure and distinguishing features with the reference before judging styling changes.
Continue with this model and style
GPT Image 2 promptsTransformation prompts
Explore related uses
Transformationfix photo lighting aiexposure correction toolbrighten dark photo onlinefix backlit photo

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3

Generate & Customize

Hit generate and watch the magic happen. Tweak the prompt parameters to make it your own.

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