Color Temperature Control

Color temperature is the single most common source of unintended color shift in AI-generated images. The model infers lighting conditions from the scene description, and lighting conditions override color specifications. A "#00ffff accent" in a "warm sunset scene" will render as a muted teal because the model applies warm color grading to the entire image.

Controlling temperature requires explicit separation of element color from scene lighting. Technique 1 — Isolated Color Instructions: "The accent elements are exactly #00ffff. The scene lighting does not affect the accent color — it remains pure cyan regardless of ambient temperature." Technique 2 — Neutral Lighting: specify "neutral white lighting, 6500K daylight equivalent" to prevent temperature shifts. Technique 3 — Post-Generation Correction: accept the temperature shift during generation and correct in post-processing by sampling the accent color and adjusting to the target value.

For brand-critical work, Technique 1 is preferred — it tells the model to treat brand colors as inviolable even when the scene context would naturally shift them. It does not always work perfectly, but it reduces temperature-induced drift by approximately 60-70% compared to uncontrolled generation.