Your brand's visual consistency matters. But what about when you need to generate images of your actual product, not just brand-styled imagery, but your chocolate bar, your sneaker, your coffee mug precisely as it exists?
Generic AI image generation falls short when you need precision. MorningAI's Visual Styles solve this by letting you train the AI on your specific product's texture, shape, colors, and unique details. The result: every image generated truthfully represents your product across different settings and compositions.
Here's how to create a product-specific Visual Style that gets it right every time.
Think about the difference between "generate a chocolate ice cream bar" versus "generate our chocolate ice cream bar with the distinctive swirl pattern and gold wrapper." The first gets you generic stock imagery. The second gets you brand-accurate visuals that maintain product integrity across campaigns.
This approach works particularly well for:
You're now ready to train the AI on your specific product rather than building a broad brand aesthetic.
This step determines everything. Your reference images must show:
Example: For a chocolate ice cream bar, ideal references would show the chocolate coating texture, any nuts or inclusions, the stick, and how light reflects off the surface.
The AI now understands your product's specific characteristics and will maintain them across different scenarios.
E-commerce Expansion: A skincare brand used product-specific Visual Styles to generate their serum bottles in lifestyle settings, but couldn't afford to photograph beach scenes, luxury bathrooms, or minimalist desks.
Seasonal Campaigns: A chocolate company created separate Visual Styles for their regular packaging and limited holiday edition, ensuring AI-generated images matched the exact wrapper designs.
Social Media Content: A shoe brand trained styles for each sneaker model, allowing them to quickly generate product shots for trending social formats without expensive photo shoots.
Create Separate Styles for Variations: If your product comes in different colors, packaging, or seasonal editions, train individual Visual Styles for each version. The AI performs better with consistent references than mixed variations.
Test and Refine: Generate a few test images immediately after creating your style. If the AI misses key product details, add more reference images that emphasize those specific elements.
Consider Lighting Consistency: Reference images with similar lighting conditions produce more predictable results. If you need flexibility across different lighting scenarios, include references that span your desired range.
How many products can I create Visual Styles for? There's no limit to the number of product-specific Visual Styles you can create. Each style is processed independently and remains available for future use.
Can I update a Visual Style after creating it? You'll need to create a new Visual Style with updated reference images for significant changes.
What if my product has multiple colorways or variations? Create separate Visual Styles for each significant variation. This ensures the AI doesn't accidentally mix characteristics from different versions.
How detailed should my text prompts be when using a product Visual Style? Focus your prompts on the setting, composition, and context rather than product details. The Visual Style handles product accuracy, so describe where and how you want the product featured.
Can I use the same reference images for multiple Visual Styles? You can, but it's more effective to curate specific reference sets for each style to maintain distinct characteristics.
Your product deserves accurate representation in every image. Start by identifying which products need Visual Styles first, typically your hero products or those featured most frequently in marketing.
Create your first product-specific Visual Style today, or explore how Custom Visual Styles work for broader aesthetic consistency across your campaigns.
Need guidance refining your approach? Your Customer Success Specialist can help optimize your Visual Style strategy for maximum accuracy and impact.