---
slug: fashn
competitorName: FASHN
title: 'Genlook vs FASHN: Virtual Try-On APIs Compared'
description: >-
  FASHN is a fashion image suite priced in credit tiers. Genlook is a standalone
  try-on API: one flat price, any product type. Speed and scope compared.
keywords:
  - Genlook vs FASHN
  - FASHN alternative
  - virtual try on API
  - virtual try on API comparison
  - fashion AI API
eyebrow: FASHN alternative
h1: Genlook vs. FASHN
tldr: >-
  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 flat price,
  predictable speed, any product type, for whatever you are building. Here is
  the detail.
primaryCtaText: Get API keys
primaryCtaHref: 'https://platform.genlook.app'
secondaryCtaText: Read the docs →
secondaryCtaHref: /docs/tryon-api/introduction
noindex: false
canonicalPath: /developers/vs/fashn
---

<Verdict label="01 — The short verdict" title="A studio suite, or a try-on engine." description="Both are commercial, self-serve APIs with real models behind them. FASHN spreads across fashion imagery; Genlook goes all-in on try-on itself.">
  <VerdictColumn name="FASHN" bestFor="Built for fashion imagery">
    <Point type="pro">Nine endpoints: try-on, model create and swap, editing, video</Point>
    <Point type="pro">Up to 4K output on Try-On Max, open v1.5 weights</Point>
    <Point type="con">Credit matrix: cost varies by mode and resolution, 1 to 5 credits per image</Point>
    <Point type="con">Latency spreads from 5s to 120s depending on model and mode</Point>
    <Point type="con">No free API credits; minimum $7.50 purchase</Point>
  </VerdictColumn>
  <VerdictColumn name="Genlook" bestFor="Built for try-on, any usage">
    <Point type="pro">One price: $0.08 per try-on, $0.065 at 3,000+ credits</Point>
    <Point type="pro">9.3s median generation, webhooks or polling</Point>
    <Point type="pro">Any product type through one endpoint: clothing, shoes, glasses, jewelry, wigs</Point>
    <Point type="pro">5 free credits on signup, self-serve keys</Point>
  </VerdictColumn>
</Verdict>

<ComparisonTable label="02 — Feature by feature" title="Where each API stands." subtitle="Checked against both platforms' public docs and pricing pages.">
  <Row feature="Try-on price" desc="Cost per generated image" genlook="$0.08 flat, $0.065 at 3,000+ credits" competitor="$0.075 base; 1 to 5 credits by mode and resolution on Try-On Max" equal />
  <Row feature="Speed" desc="Time to a result" genlook="9.3s median, consistent" competitor="5-17s on v1.6, 20-120s on Try-On Max" highlightGenlook />
  <Row feature="Free start" desc="Trying before paying" genlook="5 free credits, self-serve" competitor="No free API credits, $7.50 minimum" highlightGenlook />
  <Row feature="Scope" desc="What the platform does" genlook="Virtual try-on, end to end" competitor="Try-on plus model swap, editing, video" />
  <Row feature="Product types" desc="What can be tried on" genlook="Any product type, one endpoint" competitor="Garments; shoes, hats, jewelry via Try-On Max" highlightGenlook />
  <Row feature="End-user data" desc="Lifecycle beyond the generation" genlook="User records, deletion API, image auto-expiry" competitor="Generation-only, inputs deleted after 72h" highlightGenlook />
  <Row feature="Product analytics" desc="Knowing what performs" genlook="Per-product try-on stats endpoint" competitor="Not offered" highlightGenlook />
  <Row feature="Integration" desc="How you connect" genlook="Two-call REST flow, SDK, MCP connector" competitor="REST plus TypeScript and Python SDKs" equal />
</ComparisonTable>

<ExamplesGallery title="The part you can't compare on paper." note="Four generations from the Genlook engine on real product photos.">
  <ExampleItem example="dresses-cocktail-mini-dress--freya" href="/for/dresses" />
  <ExampleItem example="streetwear-oversized-hoodie--leo" href="/for/streetwear" />
  <ExampleItem example="denim-high-rise-straight-jeans--nadia" title="High-waisted jeans" href="/for/denim" />
  <ExampleItem example="outerwear-trench-coat--claire" title="Classic trench coat" href="/for/outerwear" />
</ExamplesGallery>

<ProseSection label="03 — The real difference" title="What each API is optimized to power">
FASHN has earned its place in the fashion AI stack. It trains its own models, publishes v1.5's weights openly, mirrors its endpoints on fal.ai, and several AI products, including some try-on apps, run on it. If you are building a creative tool that generates fashion imagery, on-model photos, edits, videos, its nine-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 latency stretching from 5 seconds on fast settings to two minutes on quality 4K. There are no free API credits, and inputs vanish after 72 hours 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 $0.08 (dropping to $0.065 past 3,000 credits), lands in 9.3 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 5 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.
</ProseSection>

<FeatureGrid label="04 — In practice" title="What the Genlook API is tuned for.">
  <Feature title="One price, no matrix" description="$0.08 per try-on, $0.065 at 3,000+ credits. No mode or resolution tiers, and credits never expire." />
  <Feature title="Predictable speed" description="9.3s median per generation, async with webhooks or polling. No quality knob that trades speed for output." />
  <Feature title="Any product type" description="Clothing, shoes, glasses, jewelry, hats, wigs: one endpoint covers them all, with no category parameter to get wrong." />
  <Feature title="Data lifecycle handled" description="End-user records, per-product try-on stats, a deletion endpoint for privacy requests, auto-expiring images." />
</FeatureGrid>

<Steps label="05 — Getting started" title="Two calls to your first try-on.">
  <Step number="1" title="Create a key" description="Self-serve at platform.genlook.app. New accounts start with 5 free credits." />
  <Step number="2" title="Upload and generate" description="POST the person photo, POST the try-on. Poll for the result or receive a webhook." />
  <Step number="3" title="Go live" description="Credits from $0.08, $0.065 at volume. Building something new? The startup program adds free credits." />
</Steps>

<Faq label="06 — FAQ" title="Questions, answered.">
  <FaqItem question="How does pricing actually compare?">
At list price they are close: FASHN's standard try-on is $0.075 and Genlook's is $0.08, falling to $0.065 above 3,000 credits. The 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 credits never expire.
  </FaqItem>
  <FaqItem question="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.
  </FaqItem>
  <FaqItem question="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.
  </FaqItem>
  <FaqItem question="Can I test Genlook without paying?">
Yes. Self-serve accounts start with 5 free credits, enough to run the two-call quickstart on your own product photos. No sales call, no minimum purchase.
  </FaqItem>
  <FaqItem question="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.
  </FaqItem>
</Faq>

<CtaBlock
  title="Build try-on into your product."
  description="Self-serve keys, five free credits, and two API calls to your first generation."
  primaryText="Get API keys"
  primaryHref="https://platform.genlook.app"
  secondaryText="Read the docs"
  secondaryHref="/docs/tryon-api/introduction"
/>