Drape
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Powered by FASHN AI v1.5

AI Virtual Try-On
for Clothes, Blazers, Suits and Fashion.

Upload your photo, upload a garment image, and generate realistic try-on results in seconds. HD output at 864×1296. Free Starter plan includes 3 try-ons — no credit card needed.

Private by default
12s generation

AI try-on

Generated in 12.4s

12s
Average generation
576×864
HD resolution
Outfits to try
99.8%
Realism rating
What it is

AI virtual try-on, explained in 60 words.

Quick answer

What is Drape Try-On?

Drape Try-On is an AI virtual try-on studio for clothes, blazers, suits, dresses, kurtas, sarees, and other fashion. You upload a photo of yourself and a photo of a garment; Drape runs garment segmentation, human parsing, and pose estimation, then synthesizes an HD image of you wearing the new outfit in about 12 seconds. The free Starter plan includes 3 try-ons — no credit card required.

How it works

Four steps to a new wardrobe.

Drape Try-On runs a four-stage AI pipeline behind a one-screen interface. Most users complete a generation in under 60 seconds.

01

Upload your photo

A clear, well-lit, front-facing full-body photo. Phone selfies and studio shots both work. JPG, PNG, or WEBP up to 10 MB.

02

Upload clothing image

A flat-lay product shot or a model wearing the garment. Plain backgrounds give the cleanest results across blazers, suits, dresses, kurtas, and sarees.

03

AI processes the garment

Our model runs garment segmentation, human parsing, and pose estimation in parallel — then synthesizes the new outfit while preserving your body, face, and accessories.

04

Get the try-on result

HD result delivered in roughly 12 seconds at 864×1296 resolution. Download, save to your gallery, or regenerate with a fresh seed for variations.

Garment types

What works best on Drape Try-On.

Drape Try-On is tested across nine common garment categories. Each garment page below covers the exact photo angles, lighting, and quality settings that produce the cleanest results.

Troubleshooting

Common problems and how to fix them.

If your try-on looks off, it is almost always one of these five issues. Each has a one-line fix.

Cropped garments

Why it happens — The AI cannot infer the missing portion of a garment — collars cut off the frame, sleeves outside the photo, or hems below the crop become best-guess artifacts.

Fix — Upload an image where the full garment is visible from collar to hem. Add a few pixels of white space around the edges.

Side-facing photos

Why it happens — Pose estimation works best on front-facing subjects. Side profiles confuse the parser and the garment may render with distorted shoulders or hips.

Fix — Stand square to the camera with arms slightly away from the body. Avoid extreme angles — a forward-facing photo with shoulders parallel to the lens works best.

Poor lighting

Why it happens — Harsh shadows on the body cause the model to mistake shadow for garment edges, producing dirty seams and uneven color reproduction.

Fix — Shoot in even daylight or with a soft, diffused indoor light. Avoid overhead spotlights and backlit setups (window behind you).

Complex backgrounds

Why it happens — Busy backdrops introduce competing edges that the segmentation network sometimes attributes to the garment, smearing into the result.

Fix — Use a plain wall or neutral background. If you must shoot in a complex setting, ensure the contrast between you and the background is high.

Low-resolution images

Why it happens — Below 512×512 pixels the AI cannot resolve fine details — pinstripes vanish, lace becomes mush, embroidery flattens to color blobs.

Fix — Use at least 1024 pixels on the longer side. Drape compresses to a sensible upload size automatically — feed it the highest-quality original you have.

Technology

Inside the AI try-on pipeline.

Drape Try-On orchestrates five computer-vision and generative models behind a one-click UI. Here is what each step does — and why it matters for the quality of your result.

Garment segmentation

A computer-vision step that isolates the clothing item from its background and from any person wearing it. Drape uses a transformer-based segmentation network so it works on flat-lays and on-model photography alike. Read more on /learn/garment-segmentation.

Human parsing

The pixel-level classification of a person photo into body parts (head, torso, arms, legs) and existing clothing regions. This map tells the AI exactly where the new garment should land. Drape parses at the same resolution as the FASHN v1.6 backbone for accuracy.

Pose estimation

Detection of 18 to 25 body keypoints — shoulders, elbows, hips, knees — using a DWPose-style model. The garment is then warped to follow your stance, which is why front-facing photos with arms slightly out from the body work best.

Image synthesis

A diffusion model conditioned on the segmented garment, the parsed person, and the pose map generates the final photo. FASHN v1.6 outputs at 864×1296 resolution with explicit preservation of skin texture, tattoos, and accessories.

Outfit preservation

The non-garment regions of your photo — face, hair, hands, jewelry, watches, glasses — are retained from the original input rather than re-synthesized. This is what keeps the result recognisably you, not a generic AI portrait.

FAQ

Answers to the questions people actually ask.

Twenty questions sourced from real user support tickets, Reddit threads, and AI-search queries. Want more detail? The /blog hub explores each topic in depth.

What is AI virtual try-on?+
AI virtual try-on is a computer-vision technique that lets you see how a garment would look on your body without physically wearing it. The system runs garment segmentation, human parsing, and pose estimation, then uses a diffusion model to render you wearing the new outfit. Drape Try-On produces HD results at 864×1296 in around 12 seconds.
Does AI virtual try-on actually work?+
Yes — modern models like FASHN v1.6 (used by Drape), IDM-VTON, and Kling AI produce photorealistic results for tops, dresses, blazers, jackets, kurtas, and shirts. Edge cases like extreme poses, side-facing photos, and heavily accessorized garments still have visible artifacts.
How do I get the best try-on results?+
Use a clear, front-facing, full-body photo with even lighting and a plain background. For the garment, use a flat-lay product photo or an on-model reference. Avoid cropped photos, side angles, and busy backdrops.
Can AI try on a blazer?+
Yes. Blazers are one of the more challenging categories because of their structured shoulders and lapel geometry. Drape Try-On handles single-breasted blazers reliably; double-breasted styles work best when the buttoning is clearly visible. See /try-on-blazer-online for a step-by-step guide.
Can AI try on a suit?+
A suit is a two-piece garment — most AI try-on models generate per-garment, so the workflow is to run the jacket first, then re-run with the trousers using the previous result as the source photo. /try-on-suit-online walks through the technique.
Does AI virtual try-on work for dresses?+
Yes — dresses use the "one-pieces" category. Fitted silhouettes (sheaths, slip dresses, bodycons) work best. Flowing fabrics like chiffon and tulle may show slight blurring at the hem because the AI cannot perfectly predict cloth physics.
Can it handle sarees and kurtas?+
Drape Try-On supports kurtas (use the "tops" category) and partially supports sarees. Saree drape, pleats, and pallu retain shape on simple silhouettes; complex pleating patterns may simplify in the output. Use the highest-resolution photo you have.
How long does an AI try-on take?+
On Drape Try-On, generation takes around 12 seconds in Quality mode and 6–8 seconds in Fast mode. The total user flow — upload, configure, generate, download — is usually under one minute.
Is Drape Try-On free?+
Yes. The Starter plan is free with 3 try-on credits — no credit card required. Standard at $12 per month adds 50 credits and a commercial licence. Pro at $39 per month adds 200 credits, API access, and priority queue.
Are my uploaded photos private?+
Yes. Drape uses Supabase Storage with short-lived signed URLs. Files are encrypted at rest and only accessible to the authenticated user that uploaded them. Drape does not train AI models on your photos.
Can I use Drape Try-On commercially?+
Standard and Pro plans include a commercial licence — you may use generated images in marketing, lookbooks, online stores, and product catalogs. The free Starter plan is for personal use only.
How does Drape Try-On compare to FASHN AI?+
Drape Try-On runs on FASHN v1.6 plus a curated pre- and post-processing pipeline tuned for fashion photography. The underlying generation quality is identical; Drape adds the user interface, gallery, AI Stylist chat, regenerate-with-seed, and commercial licensing. See /compare/fashn-ai for the full breakdown.
How does Drape Try-On compare to IDM-VTON?+
IDM-VTON is an open-source model with strong pose preservation but requires you to operate the GPU infrastructure. Drape Try-On is a hosted SaaS product — no servers to manage, predictable per-image cost, and bundled licensing. See /compare/idm-vton.
How does Drape Try-On compare to Kling AI?+
Kling AI focuses on video generation; its try-on capability is a side feature. Drape Try-On is purpose-built for still-image try-on with deeper garment-category handling, an AI Stylist module, and an e-commerce API. See /compare/kling-ai.
Does virtual try-on reduce product returns?+
Industry studies report 25–40 percent reductions in apparel return rates when shoppers preview garments with AI try-on before purchase. Returns drop most sharply for fit-sensitive items like blazers, jeans, and dresses. Read the data on /virtual-try-on-statistics.
Can I integrate Drape Try-On with my e-commerce store?+
Yes. The Pro plan includes a REST API with Bearer-token authentication. You can render try-on images on your product pages or batch-generate marketing assets. See /try-on-shirt-online for a sample flow.
What is garment segmentation?+
Garment segmentation is a computer-vision step that isolates the clothing item from the background of a photo, producing a clean alpha mask. It is the first stage of any virtual try-on pipeline. See /learn/garment-segmentation.
What is human parsing?+
Human parsing classifies each pixel of a person photo into body parts and existing clothing regions. The resulting map tells the AI exactly where the new garment should land and what to preserve. See /learn/human-parsing.
What is pose estimation?+
Pose estimation detects 18 to 25 keypoints on the human body — joints like shoulders, elbows, hips, and knees. These keypoints are used to warp the garment so it follows your stance. See /learn/pose-estimation.
Can AI replace fashion photoshoots?+
For catalog variations, colorway swaps, and lookbook drafts — yes, AI try-on already saves brands 60 to 90 percent of photoshoot costs. For editorial campaign shoots that rely on art direction and mood, AI is a starting point, not a replacement. Read our analysis on /blog/can-ai-replace-fashion-photoshoots.
Comparison

Drape Try-On vs FASHN AI, IDM-VTON, Kling AI.

Factual feature-by-feature comparison. All values verified June 2026 and re-checked monthly on the dedicated /compare hub.

FeatureDrape Try-OnFASHN AIIDM-VTONKling AI
Output resolution864×1296864×1296 (Drape uses v1.6)1024×768720×1280 (still frame)
Avg generation time~12 seconds~12 seconds~18 seconds~45 seconds (video frame)
Pose preservationStrong (DWPose)StrongBest-in-classModerate
Identity & accessory retainStrongStrong (same backbone)Strong on face, weak on jewelryWeak — re-renders identity
HostingSaaS — managedSaaS APISelf-host or 3rd-party ReplicateSaaS API
Garment categories handledTops, Bottoms, One-pieces, SuitsTops, Bottoms, One-piecesTops, DressesTops only (UI-gated)
Commercial licenceIncluded on paid plansIncludedSelf-managed legalLimited — check current TOS
Free tier3 free try-onsTrial credits via falSelf-host = no per-image costLimited trial
AI Stylist chatYesNoNoNo
E-commerce REST APIYes (Pro plan)Yes (fal)You operate the APILimited
Use cases

Who uses Drape Try-On.

Five user archetypes drive most of our traffic. Each one solves a different problem with the same core technology.

Online shopping

See how a blazer fits before paying for shipping. Apparel returns drop 25–40 percent when shoppers preview garments with AI try-on before checkout.

Fashion influencers

Generate weekly outfit content from a single base photo and your wardrobe of garment shots. Maintain a consistent personal-brand aesthetic without daily styling.

E-commerce stores

Render every product on a diverse roster of models via the Drape API. Skip the photoshoot, ship the catalog. Pro plan includes commercial licence and REST API.

Designers

Visualize a tech-pack sketch on a real body in seconds. Iterate on cut, color, and silhouette before committing to sample production.

Personal styling

Curate looks for clients without sourcing samples. Build mood boards and outfit grids that feel real, not just collaged.

Explore Drape

Deepen your knowledge.

Every hub below is part of the Drape topic cluster — read in any order.

Real results

The before, the garment,
the impossible.

Three frames, no Photoshop. Each card shows a real user photo, the garment, and Drape's AI-generated try-on.

You
You
Garment
Garment
AI try-on
AI try-on
Editorial · neutral
Generated
You
You
Garment
Garment
AI try-on
AI try-on
Casual · denim
Generated
You
You
Garment
Garment
AI try-on
AI try-on
Statement · color
Generated

Example results — your photo, your garment, your style.

AI Stylist Assistant

Your personal
creative director.

Trained on decades of editorial archives. Ask for "an autumn evening look" or "what pairs with this skirt" — get curated recommendations in seconds.

What should I wear to a candle-lit dinner in Paris?
A bias-cut slip in deep burgundy or oxblood, silk or satin. Pair with delicate gold jewelry and a long camel coat for the chill. Strappy heels — but flats are entirely chic too.
Available on Starter & Pro
Pricing

Simple, transparent,
never sneaky.

Start free. Upgrade when you fall in love. Cancel any time. Credits from packs never expire.

MonthlyAnnual
Save 25%
Starter
Try it out, no card required.
$0/month
3 free looks
  • 3 free looks total
  • Personal use
  • Watermark-free
  • Email support
Most chosen
Standard
For the experimenters.
$12/month
50 looks / mo
  • HD quality (864×1296)
  • Commercial license
  • AI Stylist beta
  • Priority email support
  • Save unlimited looks
Pro
For the professionals.
$39/month
200 looks / mo
  • HD + 4K upscale
  • Full commercial license
  • API access (Bearer keys)
  • Priority FAL queue
  • Dedicated support
  • Early access to new models
Top up · pay as you go

Buy credits.
Use them whenever.

One-time purchases. No subscription required. Pack credits never expire and stack on top of your monthly plan.

25
credits
$7
$0.28 / credit
Popular
100
credits
$24
$0.24 / credit
Best value
500
credits
$99
$0.20 / credit

Secure checkout · Credits never expire · 14-day money back

FAQ

Questions, answered.

Still curious? Email surygraphics360@gmail.com — we reply within 24–48 hours.

14-day money-back guarantee

Try Drape risk-free.

Not in love within 14 days? Email us and we'll refund your subscription — no questions, no friction. One-time credit packs are non-refundable once any credit is used, but unused packs are fully refundable for 30 days.

Request refund

The fitting room
never closes.

Five free try-ons. No card needed. See yourself in something new in under a minute.