Who should use the Generate virtual try-ons workflow?
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pagePrepare garment images
Remove backgrounds from product photos to isolate garments, ensuring cleaner input for virtual try-on generation and reducing artifacts.
Why this matters
Clean backgrounds prevent interference during try-on overlay and improve the accuracy of the generated result.
What you get
Garment images are isolated with transparent backgrounds, ready for try-on processing.
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2Input · Step 2 of 3
Open task pageGenerate virtual try-ons
Use AI to overlay the prepared garment image onto a user photo or model, producing a realistic preview of how the clothing item looks when worn.
Why this matters
This is the core step that creates the final visual output, directly determining the quality and realism of the try-on experience.
What you get
A realistic virtual try-on image is generated, showing the garment on the person with proper fit and lighting.
3Deliver · Step 3 of 3
Open task pageEnhance output resolution
Increase the resolution and sharpen details of the generated try-on images to ensure high-quality visuals suitable for e-commerce product pages or marketing materials.
Why this matters
Higher resolution improves customer trust and reduces returns due to unclear or pixelated visuals.
What you get
Final try-on images are upscaled and sharpened, meeting quality standards for publication.