One of the biggest challenges in AI-generated product visuals is inconsistency.
Different prompts often result in different products.
Different prompts often result in different products.
The main goal of this project was to train and guide AI to:
• Keep the exact same product design
• Adapt it into multiple visual narratives
• Maintain material, proportion, and lighting consistency
• Keep the exact same product design
• Adapt it into multiple visual narratives
• Maintain material, proportion, and lighting consistency
Instead of generating random visuals, a controlled AI training workflow was used.
• A single product reference was defined as the visual DNA
• Prompts were structured with fixed product attributes
• Scene, lighting, and storytelling elements were separated from the product identity
• Multiple test generations were refined to achieve consistency
• Prompts were structured with fixed product attributes
• Scene, lighting, and storytelling elements were separated from the product identity
• Multiple test generations were refined to achieve consistency
AI-Assisted Product Visualization
Same Product — Multiple Visual Narratives
Touch control detail generated with consistent material and lighting.
- AI-adapted lifestyle scene while preserving product identity.
- Light performance and atmosphere visualization.
Process & Tools
• Concept development & visual direction
• AI-assisted image generation
• Prompt iteration & visual curation
• Post-processing and layout refinement
• AI-assisted image generation
• Prompt iteration & visual curation
• Post-processing and layout refinement
This project was created for portfolio and concept exploration purposes.
