No engineering required
Merchant app
Dev required
Comparison
Replicate hosts try-on models via API. Stylab is managed try-on for Shopify merchants — compare DIY ops vs install-and-measure.
Replicate is infrastructure: you pick a model, pay per run, and wire it into your product. Stylab is a product: Shopify widget, shopper UX, quotas, admin, and billing through Shopify.
Teams choose Replicate when try-on is one step inside a larger ML system they already operate. Merchants choose Stylab when try-on is a feature to launch and measure on the storefront this month.
Remember hidden costs on the API path: image preprocessing, error handling, GDPR/privacy copy, mobile UI, and version changes when models update.
Side by side
Replicate runs machine learning models in the cloud via API — including try-on models teams can call from custom pipelines.
Merchant app
Dev required
Included
Build yourself
Quota on successful try-ons
Pay per API run — verify model
Vendor-managed
Your team adapts pipeline
Included
Custom
Yes
No
Choose Stylab when try-on is a merchant feature to launch and measure — not an engineering side project.
Choose Replicate if you already run custom ML pipelines and need raw model access across multiple generative tasks.
Comparison based on publicly available product information as of May 2026. Features, pricing, and policies may change. Verify details on each vendor's website before making a decision.
Practical guide
This comparison is for teams deciding between a finished Shopify app and a developer API. The right choice depends on who owns the build, the timeline, and what you need to measure on the storefront.
When an API makes sense: Custom mobile apps, non-Shopify stacks, in-store kiosks, or a product team that already runs ML pipelines. For standard Shopify apparel PDPs, a managed app is usually faster to validate.
Common mistakes
Related
Start with a few products, measure shopper engagement, and see whether try-on helps customers buy with more confidence.