Lesson Content

Specifying color palette through prompts.

Color palette direction in Firefly prompts: Dominant palette – "warm amber and terracotta palette, rich earth tones throughout"; Complementary palette – "deep teal and warm orange complementary palette, high contrast color combination"; Monochromatic – "deep blue monochromatic palette, ranging from navy to pale powder blue, minimal desaturated neutrals"; Brand palette reference – "deep navy and warm gold palette, professional and authoritative, brand-standard color relationship." Firefly responds to specific color relationship descriptions more reliably than generic single-color references.

Tonal grade character.

Tonal grade language controls the overall luminosity and contrast character: High key – "airy high-key lighting, bright whites, soft shadows, clean and light aesthetic"; Low key – "deep low-key lighting, rich blacks, dramatic shadows, moody and cinematic"; Desaturated – "muted, slightly desaturated tones, soft and understated, film-like color"; Vivid/saturated – "rich, highly saturated color, punchy and bold visual character, vibrant and energetic." Combining tonal grade with palette direction produces highly specific color character.

Color harmony in prompt construction.

Applying color harmony principles to prompt language: "Split complementary palette of warm orange, cool purple, and teal accents, balanced and visually harmonious"; "Analogous warm palette – amber, gold, and warm brown, cohesive and unified"; "Neutral palette with single accent color – warm navy environment with coral accent on the subject." Color harmony language guides the AI toward intentional color relationships rather than arbitrary palette generation.

Brand-consistent color production.

For brand-consistent image series: establish a specific color description formula from the brand's color standards and use it consistently across all prompts in the series; include the same color language in every prompt; review each generated set against the established color formula before accepting. Consistency in color language produces more consistent color character across a multi-image series than using varied color descriptions.