Bria | Virtual Try-On.

  • Bria
  • Image to Image
  • $0.04 per execution

BRIA Virtual Try-On turns person and garment photos into a try-on image that preserves pose, background, and garment details for fashion previews.

Bria | Virtual Try-On neyde iyi?

  • En uygun kullanım

    Nerede işe yarar

    Bria Virtual Try-On is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different…

  • Sınırlar ve ipuçları

    Make the main subject, composition, lighting and intended visual style unambiguous.

    When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several…

  • İlgili model

    Topaz Gigapixel Standard 2

    Çıktıyı, hızı ve fiyatı karşılaştırmak için aynı girdiyle çalıştırın.

    View model

Model dokümantasyonu

Bu model hakkında

BRIA Virtual Try-On turns person and garment photos into a try-on image that preserves pose, background, and garment details for fashion previews.

Overview

Bria Virtual Try-On Overview

BRIA Virtual Try-On turns person and garment photos into a try-on image that preserves pose, background, and garment details for fashion previews.

Person and garment references let you preview a clothing or accessory change in an existing photograph.

Bria Virtual Try-On from Bria is available through each::labs in the bria family. Required fields are person_image, garment_images.

instruction: Optional styling direction. aspect_ratio: Output image aspect ratio.

Use the Bria Virtual Try-On API when you need this transformation or analysis as a repeatable step in an application or creative pipeline. The sections below distinguish the required material, adjustable controls and checks that matter before delivery.

Capabilities

Capabilities

  • Person and garment references let you preview a clothing or accessory change in an existing photograph.
  • instruction: Optional styling direction.
  • aspect_ratio: Output image aspect ratio.
  • output_type: Desired output image format.
  • person_image: Photo of the person to edit.

Use cases

Use Cases for Bria Virtual Try-On

Bria Virtual Try-On is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts of a working pipeline.

Creators

Explore outfit combinations. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.

Design and marketing teams

Draft fashion campaign imagery. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.

Developers

Show a garment concept on a supplied person photograph. Inspect the actual returned value before connecting it to another step, and keep the chosen request settings with the result.

Start with a clear definition of the desired result and use the exposed controls to reach it. Keep any additional generation, editing or application logic in separate steps so that the effect of this operation remains easy to review.

Tips & tricks

Tips and Tricks

Make the main subject, composition, lighting and intended visual style unambiguous. When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several competing requests.

  • aspect_ratio: Output image aspect ratio.
  • output_type: Desired output image format.
  • Example direction: “Replace the background with a softly lit studio; keep the subject, colors and framing unchanged.”
  • Example direction: “Make the lighting warmer while preserving the main subject and its visible details.”

Compare one deliberate adjustment at a time. Inspect the part of the result affected by that change, then check the rest of the asset or response for unwanted side effects before reusing the settings.

Technical spec

Technical Specifications

  • Result type: image.
  • Required fields: person_image, garment_images.
  • aspect_ratio: string; options 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9.
  • instruction: string.
  • seed: integer; minimum 0; maximum 2147483647.
  • output_type: string; options png, jpeg; default "png".

person_image: Photo of the person to edit.

Values must use the types and accepted options listed in the parameter reference. A displayed default does not remove a required-field requirement. Choose a supported output setting for this entry rather than borrowing a preset from a related model.

Things to be aware of

Things to Be Aware Of

Review lettering, small structures, edges and any requested product details at the intended display size. An attractive first impression is not enough to establish that a visual matches its brief.

Optional settings are not necessarily interchangeable with those on another entry in the same family. Use the accepted names, types and values shown for this operation.

For media-based inputs, supply a directly retrievable file URL rather than a page containing the asset. Keep the source available while processing. Check the final content in the destination player, editor or application, not only the request status.

Key considerations

Key Considerations

A generated try-on image is a visual mockup, not a measurement of fit or garment dimensions.

Fixed pricing: $0.04 per BRIA virtual try-on.

Prepare person_image, garment_images before starting. Optional settings include instruction, aspect_ratio, output_type. Keep these settings aligned with the intended delivery, especially when a later step expects a particular type or format.

Run a representative request before scaling to a larger collection. Judge the result against the source and the brief, and account for all generated outputs or usage-sensitive options when estimating a batch.

Limitations

Limitations

  • garment_images: minimum items: 1; maximum items: 3; item string; item format: uri.
  • aspect_ratio: allowed values: ["1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9"].

Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.

Bu model hakkında sorular

Kısa yanıtlar. Kurulumunuza özel her konuda ekibimizle konuşun.

Bir mühendisle konuşunBeklediğiniz hacme göre plan yapın.
  • BRIA Virtual Try-On places garment or accessory images onto a person photo and returns a generated try-on image. The model is designed for fashion previews where the person, pose, and background should stay recognizable while the selected garments change.

Aradaki farkı kapatmaya hazır mısınız?

Modeli bulun. Workflow’u kurun. Sonucu yayınlayın.