Person image stays the anchor
The prompt asks GPT Image 2 to preserve the source person's identity, camera angle, background, and overall pose as much as possible while changing the outfit region.
AnyTryOn · GPT Image 2 Virtual Try-On
GPT Image 2 Virtual Try-On
Use a GPT Image 2 powered image-editing workflow to preview outfits on a real photo. Add a person image, upload garments, and generate a realistic virtual try on in the workspace below.
By AnyTryOn Team
GPT Image 2
Virtual try on
Upload a person photo plus a top garment. Add bottoms if you want a complete outfit, then choose a supported aspect ratio and resolution.
Built for image-to-image outfit edits
The workspace keeps the model choice internal and turns your intent into structured prompts and provider-supported settings.
01
Prompted for preservation
The prompt separates person, garment, edit scope, identity preservation, and output cleanliness.
02
Supported size controls
New generations use GPT Image 2 ratios: auto, 1:1, 9:16, 16:9, 4:3, and 3:4.
03
Realistic fit intent
Focus controls still let you prioritize outfit fidelity or the person without exposing raw model routing.
Generator
Try the GPT Image 2 virtual try-on workspace
Upload a person photo plus a top garment. Add bottoms if you want a complete outfit, then choose a supported aspect ratio and resolution.
Loading workspace…
How the GPT Image 2 try-on workflow handles your images
AnyTryOn turns a person photo and garment references into a focused image-edit request, so the model edits the clothing area instead of treating every upload as a new scene.
Garments are references, not scenes
Top and bottom uploads are used for color, silhouette, fabric, and recognizable design details. Unrelated product backgrounds, people, props, and text are intentionally ignored.
Settings are provider-safe
The workspace only exposes ratios and resolution choices that can create a valid GPT Image 2 image-to-image task, so invalid combinations are handled before you generate.
Resolution and ratio guidance
These controls are designed around GPT Image 2 image-to-image limits and practical try-on quality, not around every legacy AnyTryOn size.
Auto is kept at 1K
When aspect ratio is auto, AnyTryOn selects 1K because higher resolutions with auto can fail provider task creation. Use a specific ratio when you need more control.
Square images stop at 2K
The 1:1 ratio does not expose 4K. Choose a non-square supported ratio such as 3:4, 4:3, 9:16, or 16:9 when higher resolution is available and useful.
Use higher resolution when detail matters
2K or 4K is most useful for full-body framing, visible fabric texture, ecommerce previews, and non-square compositions. For quick outfit drafts, 1K is usually enough.
Inputs that usually produce cleaner try-ons
Virtual try-on quality depends heavily on whether the model can understand the body, the pose, and the garment reference without fighting the source image.
Clear body and clothing area
Use a person photo where the torso, waist, and target clothing region are visible. Side poses, seated poses, cropped limbs, and hands in pockets can still work, but results may need more natural inference.
Simple garment references
Garment images work best when the clothing is the main subject. Avoid heavy text, logos, unrelated props, or multiple people when you want a cleaner AI clothes changer result.
Respect pose and occlusion
If arms, bags, hair, or a turned body cover part of the outfit, the workflow favors a natural edit over forcing the garment into a flat front-facing product view.
Practical ways to use this GPT Image 2 try-on page
Use this page when you want model-specific try-on traffic, or jump to a broader AnyTryOn tool when the task is not about GPT Image 2 specifically.
Full AI try-on studio
Start from the main workspace when you want the broad AnyTryOn experience with the default virtual try-on flow.
Open AnyTryOnAI clothes changer searches
Use the clothes changer page when the intent is simply swapping outfits in a photo, without model-specific wording.
Explore AI clothes changerDress-specific try-on
Use the dress page for one-piece garment previews such as dresses, bridal looks, and event outfits.
Try dresses onlineHigher quality options
Review pricing when you need account-based access to higher resolution generation for supported ratios.
View pricingHow to generate a virtual try on
A short workflow for clean GPT Image 2 try-on inputs.
1
Upload the person
Use a clear photo where the subject, pose, and clothing area are easy to see.
2
Add garment references
Upload a top image and optionally a bottom image. Clean garment references give stronger edits.
3
Choose ratio and quality
Auto outputs 1K, square supports up to 2K, and other supported ratios can use higher quality when available.
FAQ
GPT Image 2 virtual try-on questions
What to know before you generate.
What is GPT Image 2 virtual try-on?
It is an image-editing workflow that uses GPT Image 2 style image-to-image generation to place uploaded garment references onto a person photo.
Do I need to choose GPT Image 2 manually?
No. AnyTryOn keeps model routing internal so you can focus on the photo, garment, style, ratio, and resolution choices.
Which aspect ratios are supported?
New generations support auto, 1:1, 9:16, 16:9, 4:3, and 3:4. Legacy ratios remain visible on old history items but are not offered for new generations.
Can I generate 4K images?
4K depends on your account entitlement and the selected ratio. Auto ratio stays at 1K, and 1:1 square images support up to 2K.
What images work best?
Use a well-lit person photo and clear garment images. Avoid reference photos where unrelated people, backgrounds, text, or props dominate the garment.
AnyTryOn is an independent product and is not affiliated with or endorsed by OpenAI.