Extracting Color Grades Using ChatGPT for Lightroom

Introduction

• The lecture is about extracting and converting color grades from photos using ChatGPT for Lightroom.
• The emphasis is on inspiration and communication among photographers rather than stealing.
• Always ask the original creator for tips or purchase presets instead of stealing.

Disclaimer

• This video is for inspiration only; stealing is not supported.
• Communication and sharing knowledge within the photography community are encouraged.

Overview of the Process

• The main goal is to use ChatGPT to create an XMP file, which contains preset information for Lightroom.
• Clarification on why some users struggle to extract XMP files successfully.

Using ChatGPT Effectively

1. Version Recommendation:
   • Use ChatGPT Version 4 for better results.
   • The free version is less reliable; the paid version is preferred.
2. Direct Interaction:
   • Communicate with ChatGPT as if conversing with a person.
   • Tailor prompts based on prior knowledge of the user (e.g., photography style, equipment).
3. Prompting:
   • Provide both a reference photo and the photo you want to edit (in JPEG format).
   • A simple prompt is effective as GPT understands user preferences.

Steps to Create an XMP File

1. Upload Photos:
   • Drag and drop your reference photo and the photo for editing into ChatGPT.
2. Analyze Photos:
   • GPT will analyze and generate settings for the preset.
3. Importing the Preset in Lightroom:
   • Navigate to the Develop module in Lightroom.
   • Ensure "User Presets" is visible in the presets tab.
   • Use the plus icon to import the preset once generated.
4. Common Issues:
   • If the preset is empty, ask GPT to fix it.
   • It may require a few attempts to work correctly.

Testing the Preset

• After importing, view the original and edited versions side by side to assess quality.
• Adjustments may be needed, such as white balance.

Results from the Process

• The preset may require some fine-tuning, particularly in skin tones.
• The analysis by GPT includes changes to highlights, dehaze, and tone curves, which are useful for learning about color grading.
• Features like the Calibration Tool in Lightroom Classic are valuable for creating presets.

Conclusion

• While the generated preset may be a good starting point, personal adjustments are often needed for optimal results.
• Emphasizes the importance of learning and creating one's own presets.
• Encourages viewers to engage with the content (like, comment, subscribe).

Final Notes

• Aim to develop personal color grading skills rather than relying solely on external presets.
• Appreciate the time invested in learning photography and editing.