How can I identify the best references for a Product LoRA?

Product-based LoRAs are ideal for generating AI visuals with brand-specific product designs.

For a product LoRA, your references should focus on clean, well-lit, high-resolution product images. This helps the model pick up on key visual details (textures, materials, shapes) that define the product’s design.

Use multiple angles, lighting and framing to help the model learn how to place the product in different contexts. Include some close-up references for texture and details.

Focus on references that highlight the most important aspects of the product. For example:

While consistency in product presentation is important, slight variation in context can help the LoRA learn to generate the product in a range of environments.

You want to give the LoRA flexibility to generate product images in multiple settings while preserving the product's key features, attributes, and aesthetic.

If the product comes in multiple colors, styles, or sizes, include these variations in your references. This will help the LoRA learn to generate a range of possible outputs.

Be mindful to maintain consistency in the style and quality of the references for each variant.

If the product involves specific branding elements (logos, taglines, typefaces, unique design patterns), make sure these are visible and prominent in the reference images. This ensures the LoRA can generate accurate versions with the brand identity intact.

Ensure you are providing your LoRA with references that align with the aesthetic of the intended output format. For example: