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The brand consistency problem
AI generates different outputs each time. Without a system, your visual identity drifts across campaigns.
The brand lock framework
1. Create a style prompt template
Fix these variables across all generations: - Lighting: "soft studio light, warm tones" - Palette: "espresso brown and cream" - Composition: "centered, negative space for headline" - Style: "editorial product photography"
2. Build a reference pack
Collect 2-3 images that represent your brand: - Color/palette reference - Photography style reference - Composition reference
3. Use a stable tool
Vibart's 94/100 consistency means the same prompt produces the same style. This is the foundation of brand consistency.
4. Save winning prompts
When a prompt works, save it. Reuse for future campaigns. Build a prompt library.
The consistency scorecard
| Metric | How to measure | Target | |--------|---------------|--------| | Style consistency | Run same prompt 10x, compare | 90%+ match | | Color accuracy | Compare hex values across outputs | Within 5% | | Composition fit | Score against brief | 4+/5 | | Subject identity | Recognizable across runs | 90%+ |
FAQ
Q: Do I need to be a designer for brand consistency? A: No. Follow the framework: style template + references + stable tool. Consistency comes from process, not expertise.
Q: Can AI match my existing brand guidelines? A: Upload brand references (colors, photography, typography). Vibart's reference-based generation respects them.
Q: How often should I update my style template? A: Review quarterly. Update when brand guidelines change or when you find better-performing prompts.