Color Temperature Consistency for Portfolio Cohesion
BModel data-driven playbook. Use this with your audit report for faster iteration.
Temperature drifts are one of the fastest ways to break set harmony.
Why This Metric Matters
Cohesion and palette consistency determine whether your book feels intentional. Inconsistent color temperature or styling drifts reduce trust and category clarity.
How BModel Measures It
BModel uses set-level variance metrics (palette consistency, temperature spread, style confidence, cohesion score) across all selected frames.
Fix It Now: 5 Actions
- Use one color family and repeat tonal logic across outfits.
- Lock white balance and avoid mixed ambient sources.
- Keep camera distance/lens behavior stable for sequence harmony.
- Group final images by category objective before submission.
- Drop strong single photos that break overall set narrative.
Common Mistakes
- Combining warm and cool scenes in one short set.
- Mixing beauty and editorial styling without bridge shots.
- Using one outlier image because it looks artistic.
- Changing post-processing profile between frames.
7-Day Improvement Protocol
- Day 1: define palette and category target.
- Day 2-3: shoot all frames in one controlled environment.
- Day 4: shortlist by visual continuity first, score second.
- Day 5: color-balance the final sequence uniformly.
- Day 6-7: re-audit and inspect cohesion/palette movement.
FAQ
- What temp drift is risky?
Visible warm/cool jumps between adjacent images.
- How lock white balance?
Set Kelvin manually and keep one light family.
- Can auto WB be used?
Not recommended for cohesive set scoring.
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