Shopify
WooCommerceFASHN ALTERNATIVE
Genlook vs. FASHN
FASHN is a fashion image suite: try-on plus model swaps, editing and video, priced in credit tiers. Genlook is a standalone try-on API: one price per try-on, predictable speed, any product type, for whatever you are building. Here is the detail.
Written by Thibault Mathian, founder of Genlook. Genlook makes one of the two products compared here. Competitor facts were last checked on October 7, 2026 against their public listings and docs, linked in Sources.
01 · The short verdict
A studio suite, or a try-on engine.
Both are commercial, self-serve APIs with real models behind them. FASHN spreads across fashion imagery; Genlook goes all-in on try-on itself.
FASHN
Built for fashion imagery
- Ten endpoints: try-on, model create and swap, editing, video
- Up to 4K output on Try-On Max, open v1.5 weights
- Credit matrix: cost varies by mode and resolution, 1 to 5 credits per image
- Latency spreads from 5s to 120s depending on model and mode
- No free API credits; minimum $7.50 purchase
Genlook
Built for try-on, any usage
- One price per try-on: $0.02 on plans, down to $0.015
- 8.2s median generation, webhooks or polling
- Any product type through one endpoint: clothing, shoes, glasses, jewelry, wigs
- 10 free credits on signup, self-serve keys
02 · Feature by feature
Where each API stands.
Checked against both platforms' public docs and pricing pages on the date above.
Try-on price
$0.02 on plans, down to $0.015; $0.04 pay as you go
$0.075 per credit ($0.0488 at the top commitment tier); 1 to 5 credits by mode and resolution
Speed
8.2s median, consistent
About 5 to 17s on v1.6, 10 to 55s on Try-On Max, by mode
Free start
10 free credits, self-serve
No free API credits, $7.50 minimum
Scope
Virtual try-on, end to end
Try-on plus model swap, editing, video
Product types
Any product type, one endpoint
Garments; shoes, hats, jewelry via Try-On Max
End-user data
User records, deletion API, image auto-expiry
Outputs deleted after 3 days; request records kept, no deletion endpoint
Product analytics
Per-product try-on stats endpoint
Not offered
Integration
Two-call REST flow, SDK, MCP connector
REST plus TypeScript and Python SDKs
Same photos, same day
Genlook and FASHN, side by side.
From our September 2026 benchmark: the same shopper photo and product photo sent to each API, default settings, one run each, unretouched. Times and prices are what each run took and cost; Genlook's time is its production median at the time.
See all 10 APIs on 8 garmentsTrench coat, packshot
FASHN v1.6 replaced the shopper's jeans with white trousers. Genlook kept them and matched the coat's ecru tone and buttons.
Silk saree
FASHN v1.6 left a panel of fabric floating beside the body. Both kept the gold border.
Lace wedding gown
Both render the lace bodice faithfully, and Try-On Max shows the most texture in the skirt. That run took 47 seconds at $0.15.
High-rise jeans, shot with a t-shirt
The product photo shows the jeans with a t-shirt. Try-On Max applied the t-shirt and kept the shopper's cream trousers; Genlook dressed the jeans.
03 · The real difference
What each API is optimized to power
FASHN is an established name in the fashion AI stack. It trains its own models, publishes v1.5's weights openly under Apache 2.0, and mirrors its endpoints on fal.ai. If you are building a creative tool that generates fashion imagery, on-model photos, edits, videos, its ten-endpoint suite is the more complete kit, and Try-On Max pushes output up to 4K.
The cost of that flexibility is that every knob is yours to manage. Pricing is a matrix: 1 to 5 credits per image depending on mode and resolution, with generation time stretching from about 5 seconds on fast settings to about 55 seconds on quality 4K. There are no free API credits (the minimum purchase is $7.50), outputs are deleted after three days, and request records stay with no deletion endpoint, because the product's job ends at the image.
How Genlook handles it
Genlook is a standalone try-on API, and try-on is the entire job. Every generation costs the same, $0.02 on a plan and down to $0.015 at volume ($0.04 pay as you go), lands in 8.2 seconds median, and handles any product type through one endpoint, clothing, shoes, glasses, jewelry, wigs, with no mode or resolution decisions. Around it sits what production integrations need regardless of what you are building: end-user records with a deletion endpoint for privacy requests, auto-expiring images, per-product try-on stats, webhooks, and an MCP connector so try-on works from AI assistants too. You start with 10 free credits and two REST calls.
If you are building a fashion content studio, FASHN's suite fits. If you need try-on itself, in a storefront, a consumer app, a kiosk or an agent, that is the whole of what Genlook does.
04 · In practice
What the Genlook API is tuned for.
One price, no matrix
$0.02 per try-on on plans, down to $0.015. No mode or resolution tiers, and pay-as-you-go credits never expire.
Predictable speed
8.2s median per generation, async with webhooks or polling. No quality knob that trades speed for output.
Beyond garments
Shoes, glasses, jewelry, hats and wigs through the same call as clothing, with no category or mode to set.
Deletable records
End users are records with a deletion endpoint, and images expire after 1, 3 or 7 days. Nothing lingers without a way to remove it.
05 · Switching
Moving from FASHN.
Create a key
Self-serve at platform.genlook.app, 10 free credits included. No credit purchase before your first call.
Map the request
FASHN's model and garment images become a person image and a product. Drop the category, mode and resolution parameters; the engine picks the product type itself.
Go live
Plans start at $20 a month for 1,000 try-ons ($0.02 each), down to $0.015 at volume, or pay as you go at $0.04. No credit matrix to budget against.
06 · FAQ
Questions, answered.
How does pricing actually compare?↓
Genlook is cheaper at every volume: FASHN's standard try-on is $0.075 a credit, down to $0.0488 on its top commitment tier ($1,249 a month); Genlook's is $0.02 on a plan, down to $0.015, and $0.04 pay as you go. The other difference is shape. FASHN's newer Try-On Max bills 1 to 5 credits per image depending on mode and resolution, so cost per image varies; Genlook charges the same for every generation, and pack credits never expire.
Does Genlook offer model swaps, editing or video like FASHN?↓
No. FASHN is a fashion image suite and those endpoints are genuinely useful for content pipelines. Genlook does one thing, virtual try-on, and builds everything around doing it well: any product type, stable latency, user records and privacy tooling.
Can both APIs be used commercially?↓
Yes. FASHN states its API outputs are commercially usable, and Genlook is a commercial service end to end. This is worth checking whenever you evaluate try-on APIs; several popular open-source try-on models are licensed for research only.
Can I test Genlook without paying?↓
Yes. Self-serve accounts start with 10 free credits, enough to run the two-call quickstart on your own product photos. No sales call, no minimum purchase.
Which produces better results?↓
Run both on your own catalog; it is the only comparison that matters. Genlook's gallery above shows unretouched generations from real product photos, and the free credits cover a head-to-head test.
Sources
- FASHN API pricing: per-credit price, credit matrix, minimum purchase, commitment tiers, commercial use
- FASHN Try-On Max docs: 4K, categories, generation time
- FASHN v1.6 docs: generation time by mode
- FASHN docs: data retention and privacy
- FASHN blog: v1.5 open-source release
- Genlook Try-On API pricing
Checked on October 7, 2026. Plans and features change; if something here is out of date, write to hello@genlook.app and we will correct it.
Build try-on into your product.
Self-serve keys, ten free credits, and two API calls to your first generation.