Image Optimize Compatible: chatgpt

Match Lighting Across a Product Catalog

Complexity Level: Intermediate
Prompt Code Block

Write a retouch plan to make a set of product photos share one light, without making them look like plastic. SET How many images: [N] The reference frame: [WHICH FILE] Product: [WHAT] Background: [WHITE | SCENE] What is allowed to change: white balance, shadow direction consistency, exposure. What is not: the product color if it is a different SKU, texture, labels. PLAN 1) Measure the reference: highlight, shadow, and a neutral patch, in numbers I can re-use. 2) For each file: match white balance first, then exposure, then shadow softness. Say when a file was shot with a different light position and should be reshot instead of painted. 3) The batch method in Photoshop or the tool I name: adjustment layers, not baked per-pixel painting, so a SKU can be re-opened. 4) A contact sheet check: squint test, and a known failure (one image still warmer). 5) Export: sRGB, the long edge, sharpening for web only. Do not recolor a SKU to match a different SKU.

🌟 Example Output / Preview

### Optimization Results Summary: - **Background Integrity:** Perfect edge masking across challenging hairs/furs. - **Tone & Balance:** Retained authentic skin textures while matching specified warm-ambient hex codes. - **Resolution Level:** Crisp, noise-free 4x upscale ready for digital display.

Prompt Metadata

DifficultyIntermediate
Compatibilitychatgpt

Primary Use Cases:

  • •E-commerce product visual polishing
  • •Brand media asset workflow enhancement
  • •High-end retouching & cinematic grade balancing

Associated Tags:

#catalog #color #photoshop #ecommerce

💡 Pro Tips & Advice

1. Use bracketed items: Be sure to fill out all [PLACEHOLDER] elements with specific details before sending the prompt to the AI model.

2. Adjust temperature: For creative tasks, set AI temperature higher (e.g., 0.8), or lower (e.g., 0.2) for strict coding/technical tasks.

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