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Workflow guide

UGC Virtual Try-On

Create UGC Virtual Try-On in yito from a written brief or prompt, an owned image. See the default model, exact credits, and the review checklist.

Input
a written brief or prompt, an owned image
Output
video
Default model
AI Virtual Outfit Try-On
Default quote
80 credits

Direct answer

The UGC Virtual Try-On workflow turns a written brief or prompt, an owned image into video with AI Virtual Outfit Try-On. The default quote is 80 credits and is shown before submission. Review the result against the source, the destination rules, and your rights before publishing.

UGC Virtual Try-On

Create a UGC Virtual Try-On. Make the offer, audience, and next action clear without inventing product claims.

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UGC Virtual Try-On

UGC Virtual Try-On example

How this workflow works

What UGC Virtual Try-On needs

Ads, launches, product explainers, UGC, and campaign-ready videos. This workflow accepts a written brief or prompt, an owned image. The text input describes the outcome, audience, and next action; any image, video, or audio must be owned or licensed. The output is video, and the default model is AI Virtual Outfit Try-On.

The starting prompt is: “Create a UGC Virtual Try-On. Make the offer, audience, and next action clear without inventing product claims..” Treat it as a starting point, not as a product fact. If the result depends on a measurement, ingredient, price, guarantee, or comparison, add that fact from an approved source and review it by hand.

How the work moves through Studio

First upload or describe the source and confirm you have the right to use it. Then choose the workflow and model, set the duration, aspect ratio, resolution, or output count, and read the exact quote. The quote is calculated before submission and changes when the settings change.

Submit one short test before a batch. Review the first result at full size, not only as a thumbnail. If the result is acceptable, save the setting and reuse the same source and configuration for the next variants; that way you compare outputs rather than different setups.

What to review before delivery

Keep every claim traceable to the product page, packaging, or a substantiated internal fact. Do not let the model invent a benefit, price, guarantee, ingredient, certification, or comparison. Review the hook, the product demonstration, the call to action, and the destination platform policy before export.

Also review identity and continuity: the product, person, or object should remain the same across frames or scenes. Look for invented text, logos, accessories, warped hands, impossible reflections, color shifts, and elements that were not in the source. If the destination is a marketplace, check size, aspect ratio, duration, audio, file weight, and metadata.

Cost, model, and next step

The default quote for UGC Virtual Try-On is 80 credits. That number is not a subscription price: it is an estimate for the default configuration and changes with duration, resolution, audio, output count, and model. The default quote uses AI Virtual Outfit Try-On and is shown before submission. Only models whose inputs, controls, and runtime state resolve can be selected; if the model is unavailable, Studio tells you before reserving credits.

If the result fails review, do not publish it: change one variable at a time (source, prompt, model, or setting) and test again. When you have an accepted output, download it, keep the configuration, and record the real cost. The pricing page explains how credits translate into subscriptions and packs.

Frequently asked questions

What input does UGC Virtual Try-On need?

It accepts a written brief or prompt, an owned image. You can start with a written instruction and add only the sources the workflow requests. Check the rights for every image, video, or audio file before uploading, and do not include personal or confidential data that should not leave your organization.

How many credits does UGC Virtual Try-On cost?

The default configuration quotes 80 credits. The exact quote is shown in Studio before submission and changes with duration, resolution, audio, output count, and model. Qualifying provider or platform failures are released or returned under the published policy.

Which model does UGC Virtual Try-On use?

The default model is AI Virtual Outfit Try-On. Studio only allows models whose inputs, controls, and runtime state resolve. If the model is unavailable, the quote is not submitted and you can choose another compatible route.

Can I publish the output directly?

Not without review. Check product or subject identity, text, logos, claims, continuity, destination format, and metadata. A generated result is a candidate; brand, legal, and marketplace approval remain human decisions.

How do I compare two models for this workflow?

Use the same source, prompt, and settings with both models. Compare the accepted output, not the generated file: identity, text, geometry, reflections, continuity, delivered format, and retry count. Then compare cost per accepted output.

Next step

  • Read the exact quote before submitting and change one variable per test.
  • Keep the source, settings, and real cost for every accepted output.
  • Review identity, text, format, and destination rules before publishing.