Adjust photo brightness, contrast, and saturation based on natural language prompts using GPT-5 text analysis. Use when the user asks to adjust brightness, change contrast, modify saturation, apply a specific style, or fix photo issues like washed out colors.
Use this skill when the user asks to:
This skill uses GPT-5 text API to interpret natural language and calculate color adjustments. Always:
from photo_color import main
result = main(
photo_path="photo.jpg",
prompt="Make the colors more vibrant and warm"
)
# Returns: "photo-enhanced.jpg"
python photo_color.py <photo_path> "<prompt>" [output_path]
Vivid colors:
Make the colors much more vibrant and vivid
Increase saturation by 50%
Make colors pop
Natural enhancement:
Apply a subtle natural enhancement
Keep it looking natural and soft
Cinematic/dramatic:
Create a dramatic cinematic look with high contrast
Make it bold and intense
Fix issues:
Fix the washed out appearance
Increase saturation to make colors more realistic
Add warmth to the photo
Specific adjustments:
Brighten and increase contrast
Make it darker and more moody
{original_name}-enhanced.{ext}GPT-5 suggests these style categories:
See references/implementation.md for:
See examples/common-use-cases.md for: