Brand-Specific AI Image Generation

1. The Challenge

Luxury and lifestyle brands often rely on unique visual styles that reflect their heritage, values, and identity. For one such client — a premium champagne house — generating fresh visual content that remained true to their established look required costly photoshoots and manual curation.

They needed to:

• Reduce the cost and time of producing visual assets
• Reuse and expand existing creative work in new ways
• Maintain strong aesthetic consistency aligned with brand guidelines
• Enable rapid ideation for campaigns and editorial content

2. The Solution

We created a custom-trained generative image model, fine-tuned well beyond typical LoRA or prompt engineering methods. The model was trained on proprietary brand assets — including photoshoots, product visuals, and campaign imagery.

Key solution elements:

• Use of Stable Diffusion & Dreambooth-style fine-tuning to encode brand identity
• Integration with internal content libraries for enhanced continuity
• Support for both prompt-based and reference image-based generation
• In-house deployment for full data privacy and fast iteration
• Easy-to-use interface for art directors and content teams

This allowed teams to generate visuals that not only matched their style — but actually expanded on it creatively, within brand boundaries.

3. The Result

The solution unlocked a new layer of creativity and content velocity for the brand:

• Significant cost reduction in visual production cycles
• Ability to generate campaign-ready images in hours instead of weeks
• Creative consistency across digital channels and regions
• Enhanced reuse of past creative work through AI training loops

The model is now used internally to test new art directions, create seasonal assets, and prototype campaign visuals before physical production.