Try Kling V4 Video Generator from Kling-AI →
Models
Agents
Workflows
Studio
PricingBlogDocs
ExploreDiscover models by categoryDiscoverModels and effects built by WiroBrowse All ModelsBrowse the complete catalogSee FavoritesSign in to view saved models
Generative Media AgentCreate and edit media by chattingWorkflow AgentBuild visual workflows with Agent
OverviewThe platform at a glanceLearnSkills, knowledge, guardrailsAnatomyWhat makes agents reasonBuild Your AgentPick connectors and skills, set tier, deploy
Pre-built AgentsBrowse the catalog
Agent Usecases
Ad Campaign ManagerApp Event ManagerApp Review RepliesBarber BookingCustomer Win-BackEcommerce ListingsRestaurant Reviews
Sign InStart Building

Task History

Click to see output list

No tasks yet

Go to Models
Explore models/
Image GenerationActive

Virtual Try-on

bywiro

Dresses the person in one photo in up to two garments or accessories from other photos. Keep the original scene or restage it in a studio, indoor or outdoor setting, and get a still image, a short clip or both.

Image to ImageImage EditingSocial Media & ViralEcommerceFast Inference
Model ID
Virtual Try-On
Provider
wiro
Updated
1793305780
Virtual Try-On
1
Comments
Average rating : 5 (3 users)
Providerwiro
ModelVirtual Try-On
Image to ImageImage EditingSocial Media & ViralEcommerce
Support Wiro on G2
wiro playground—wiro/Virtual Try-On
Reset to defaults
0 / 1
Maximum 1 image allowed

Upload the photo of the person who will model the outfit

0 / 2
Maximum 2 image allowed
Delete All

Upload images of garments and accessories to try on (max. 2)

Choose the photography style and environment for the output image.

Sample outputs
Before comparison sampleAfter comparison sampleBeforeAfterUse left and right arrow keys to compare the samples.
Before comparison sampleAfter comparison sampleBeforeAfterUse left and right arrow keys to compare the samples.
Click To See More Samples
Updated 1793305780

Overview

Virtual Try-On is a Wiro app that takes a photo of a person and one or two photos of clothing or accessories, and returns an image of that person wearing them. The items need not be worn in their photos: the samples use mannequin shots of a gown and a suit, and product shots of jewelry, a cap, sunglasses and shoes. Faces stay recognizable.

What you can build

  • A try-on button on a product page, fed by the shopper's own photo
  • Lookbook images of one model in many outfits, with no new shoot
  • Pairings such as a cap with sunglasses, or a suit with shoes

Inputs

  • Human image (required): one photo of the person.
  • Garment images: one or two photos of clothes or accessories. Both image fields take JPG, PNG, WebP, GIF or HEIC.
  • Photography style: keep the original scene (default), or restage it as studio, indoor lifestyle or outdoor location.
  • Posture (advanced): auto, sitting, standing or side profile.
  • Shot type (advanced): auto, headshot, medium shot or wide shot. A headshot leaves out footwear and a medium shot leaves out lower-body items.
  • Output type: image and video (default), image only, or video only.

Outputs

A still image of the person wearing the items. Image and video adds a silent 5-second, 720p clip animated from it; the video option returns the clip alone.

Recommended settings

Keep the original scene when the background matters; in the samples, a pink wall and a stone wall carry over. Pick a wide shot whenever shoes, trousers or a full-length dress belong to the look. Set the posture when the stance matters: on auto, the suit sample turns a hands-in-pockets pose into a straight stance with hands clasped in front.

Limitations

The output frame can differ from the input: the first sample turns a landscape photo cut at the waist into a taller portrait showing more of the dress, still cropped mid-skirt, and two others come back square. A generated picture says nothing about whether a given size will fit.

Safety & compliance

Upload photos only of people who agreed to be shown in new clothing, and garment images you have the right to use.

API quick start

Run Virtual Try-On with a single API call.

POST https://api.wiro.ai/v1/Run/wiro/virtual-try-on
{
  "inputImageHuman": "https://your-cdn.com/input.png",
  "inputImageClothes": "https://your-cdn.com/input.png",
  "style": "virtual-try-on",
  "pose": "auto"
}
curl
curl -X POST "https://api.wiro.ai/v1/Run/wiro/virtual-try-on" \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_WIRO_API_KEY" \
  --data-binary @- <<'JSON'
{
  "inputImageHuman": "https://your-cdn.com/input.png",
  "inputImageClothes": "https://your-cdn.com/input.png",
  "style": "virtual-try-on",
  "pose": "auto"
}
JSON
View full API docs

Other models you might like

Explore similar image generation models.

View all
text-removal
Image to Image

text-removal

wiro

iconic-locations
Image to Image

iconic-locations

wiro

Product Photoshoot
Image to Image

Product Photoshoot

wiro

cartoonify
Image to Image

cartoonify

wiro

  • filterswiro
  • renaissancewiro
  • restore-imagewiro
  • extreme-scenarioswiro
  • camera-angle-editorwiro
  • style-personawiro
  • professional-headshotwiro
  • flux_kontext_dev_with_3_imagewiro

Discover, test, and run AI models, build workflows and agents with one unified API.

All systems operational
WiroModelsAgentsPricingAboutBlogCareersContactPartnerChangelogStatusFAQ
CategoriesText to ImageImage to ImageImage EditingImage to TextText to VideoImage to VideoVideo to VideoText to SpeechSpeech to TextSpeech to SpeechVoice CloneRealtime ConversationMusic GenerationLLMUtilities
ModelsNano Banana 2GPT Image 2.5Seedream V5 ProSeedance 2.5Veo 3.1Kling V3FLUX 3FLUX.2 ProWan 3.0 PrimeGrok Imagine 1.5
PartnersGoogleOpenAIByteDanceBlack Forest LabsKling AIQwenAlibabaxAIMiniMaxElevenLabs
Getting StartedWiro ModelsWiro EffectsIntroductionAuthenticationProjectsCode ExamplesWiro MCP ServerSelf-Hosted MCPn8n IntegrationLLMs.txt
API ReferenceModelsRun a ModelModel ParametersTasksLLM & Chat StreamingWebSocketRealtime VoiceFiles
© 2026 Wiro AI. All rights reserved.
PrivacyTermsData Deletion