Google Virtual Try On
Google Virtual Try On lets users see clothes on themselves instantly.
A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.
Google Virtual Try On enables users to overlay clothing onto personal photos with realistic fit and drape simulation. It works best when the user photo shows a clear front-facing pose and the garment image is well-lit and isolated. The model preserves body shape, lighting, and fabric texture to create believable try-on results. Use it to experiment with outfits before buying, style inspiration, or virtual wardrobe planning. Unlike generic image editors, it understands clothing semantics and body geometry to avoid awkward stretching or misalignment. It’s ideal for casual users who want fast, fun, and reliable fashion visualization without complex tools.
- Try on shirts, dresses, or jackets from your closet
- Preview online clothing purchases before buying
- Create outfit combinations for social media posts
- Experiment with styles you wouldn’t normally wear
- Help visualize custom tailoring or alterations
The model accurately renders how clothes fold, drape, and conform to body shape.
Your facial features, pose, and lighting remain natural and unchanged in the output.
Upload two images and get a try-on result in seconds — no editing skills needed.
- Use a well-lit, plain-background photo of yourself facing the camera
- Choose garment images that are flat lay or on a mannequin with minimal clutter
- Avoid photos with heavy shadows, hats, or bulky accessories blocking the torso
- If results look off, try adjusting the garment’s alignment or using a clearer clothing image
- Works best with front-facing, full-body or upper-body photos
- Struggles with complex patterns, sheer fabrics, or extreme poses
- May not accurately represent very loose or oversized garments
A user photo in jeans and a t-shirt, trying on an oversized beige trench coat with belted waist
A user photo in simple black top, trying on a deep red velvet midi dress with off-shoulder sleeves
A user photo in shorts, trying on a patterned linen button-up shirt rolled at the sleeves
Sets the random starting point for generation — same seed with same inputs gives repeatable results.
Number of refinement steps the model takes — more steps can improve detail but take longer.
Determines the shape of the output image — match it to your input photo for best fit (e.g., portrait for full-body).
Controls how strongly the model follows the clothing image — higher values mean closer match to the garment, lower values allow more creative adaptation.
Os preços exibidos são o que você paga na Muitto. Sem surpresas.
Do I need to specify what clothing item I’m trying on?
No — just upload the garment image and the model detects and applies it automatically.
Can I try on multiple items at once?
Currently, the model processes one garment per try-on for best accuracy and clarity.
Will the model change my face or body shape?
No — your appearance stays intact; only the clothing is overlaid and adjusted to fit you.