How to Keep Your Models Consistent
Introduction
Maintaining the same model appearance is important for many brands. It helps create a familiar visual style across PDPs and campaigns, similar to how real photoshoots rely on consistent talent and controlled conditions. The FASHN app offers several ways to achieve model consistency. Some tools, such as Face Reference, require higher plan tiers, but there are still many effective methods available to all users.
This article focuses on the Product to Model tool, since it generates a new model each time you apply it to a product. We will look at how to achieve consistency across different sessions, and why some situations are easier than others.
There are two levels of difficulty when targeting model consistency:
- Consistency using the same product
- Consistency across different products
The first is easier. The second is more challenging because product images influence the AI and can shift the appearance of the generated model.
Consistency With the Same Product
Use detailed prompts and generate multiple images at once
Start by writing a detailed prompt that describes the model. Focus on physical appearance. Keep backgrounds simple (for example: white) to avoid unnecessary variation.
Generate four images at once using Product to Model. The four outputs may not match perfectly, but a strong model description usually helps the system converge on a specific look, creating four variations of the same model in slightly different poses or compositions.
These outputs become the base set for further expansion.
Use Edit to change poses
The Edit tool, especially at Precise 1K resolution, can adjust poses while keeping both model appearance and product details consistent. Changes should be moderate and applied in steps. For example, move from a frontal view to a three quarter view before attempting a full side view.
You can direct the shoot with prompts such as:
- hand resting on hip
- relaxed arms at sides
- hand touching face, smiling
This makes it possible to build a full range of poses similar to a real photoshoot.
Handling unique side or back details
Side or back variations are more difficult. For small details such as slits or vents, you can prompt them directly, for example:
“three quarter view, side slit visible”.
If the back is significantly different (for example, a hoodie with a graphic print), create new Product to Model images using the same prompt but specifying a back view. Since the face is not visible, a consistent body description and hairstyle can make the identity appear continuous.
Consistency Across Different Products
Why this is harder
The final model appearance comes from a combination of the product image and your prompt. Changing the product changes the visual cues the AI receives, so even identical prompts may produce different model identities. This is especially noticeable with category differences, such as womenswear vs menswear or swimwear vs outerwear.
To work around this, you need a method that preserves a specific identity regardless of the product.
Using Try On
Product to Model supports adding a model image as an input. The app warns against this because it can reduce reliability and may compromise product accuracy, but for identity consistency it is necessary.
Keep these points in mind:
- Expect to retry more often than usual.
- If a starting model photo fails repeatedly, switch to a simpler pose or clearer framing. The priority is to combine the model identity with the product correctly.
- You can use full body, upper body or face photos as starting points.
The goal is to achieve at least one successful transfer of the product onto an existing model image, either from past campaigns or earlier generations. Once you have that anchor image, you can return to the Edit tool for pose and background changes, following the same steps used for single product consistency.
Plan Upgrades That Can Help
Model and Resolution Variants (Pro)
The 4K versions of Product to Model are better at handling try on operations. Precise 1K can produce very accurate results but may fail to perform the transfer and simply return your original model image.
Balanced 4K and Creative 4K are more likely to perform the try on, although success is not guaranteed on the first try.
Face Reference (Agency)
Face Reference is our dedicated identity consistency feature. It works across Product to Model, Model Swap, Create Model and Edit, and is the most reliable and straightforward way to maintain the same model across many different products.
Learn more about the Pro and Agency plans in App Subscription Plans.
Continue to the next article to learn more about Face Reference.