AI Model Images

When To Use

Use this page when you need on-model presentation, wearability cues, or stronger lifestyle framing than product-only images can provide.

It is especially effective for apparel, shoes, accessories, and beauty categories that depend on person-product fit.

Workflow

The most reliable setup is product first, then model choice, then scene choice, and finally generation.

1. 1

   Step 1: Upload Product Images

   The product input anchors the task and also affects how many additional reference images the page will allow.

2. 2

   Step 2: Choose a Model Path and a Scene Path

   Both model and scene can come from recommended libraries, uploaded references, or custom descriptions. Decide the human role first, then the environment.

3. 3

   Step 3: Adjust Parameters and Generate

   After choosing the quality mode and output settings, generate the images and manage the finished results from the gallery.

How Model and Scene Selection Works

Stability usually comes from separating “who presents the product” and “where the product appears” instead of treating both as one choice.

• Recommended model libraries can be filtered by gender, age, skin tone, and product fit
• Recommended scene libraries can be filtered by product type, scene type, and keyword
• Uploaded inputs are best for branded references or owned templates
• Custom descriptions are better for very specific personas or environments

Best Practices

Define the model persona first, then adjust the scene. That avoids the common mismatch between product type and visual identity.

If you are testing audience expression, keep the product and scene constant while changing only the model variable.

• Match the model to the product category before anything else
• Small, repeatable test loops are more stable than one oversized reference set
• Keep successful outputs as reusable model templates