KLING​ AI​ User​ Guide​ for​ Virtual​ Try-On
Kling​ AI​ Virtual​ Try-on
I.​ Overview​ of​ Virtual​ Try-On
What​ is​ Virtual​ Try-On?
​Virtual​ Try-On​ (Virtual​ Try-On)​ is​ an​ image​ generation​ technology​ that​ allows​ users​ to​ "try​ on"​ specific​ clothing​ items​ virtually.​ Imagine​ shopping​ online​ from​ your​ home​ and​ coming​ across​ a​ stylish​ outfit—you​ don’t​ even​ need​ to​ get​ up​ from​ your​ sofa!​ By​ simply​ uploading​ a​ photo,​ Virtual​ Try-on​ enables​ you​ to​ see​ how​ the​ clothes​ would​ look​ on​ you,​ making​ online​ shopping​ enjoyable​ and​ convenient.
​Kolors​ Virtual​ Try-on​ is​ powered​ by​ Kolors​ image​ generation​ model,​ integrating​ technologies​ that​ preserve​ clothing​ SKUs,​ adjust​ human​ poses,​ and​ restore​ backgrounds.​ It​ enables​ users​ to​ generate​ try-on​ effects​ for​ any​ clothing,​ body​ shape,​ and​ pose.​ Even​ with​ complex​ backgrounds,​ high-quality​ try-on​ results​ can​ be​ achieved.
Kolors​ AI​ Try-on：Model​ Image​ +​ Product​ Image​ =​ Try-on​ Effect
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Advanced​ Virtual​ Try-On​ Capability
Preserving​ Clothing​ Details
Natural​ Try-on​ Effects
Full​ Process​ Generation​ Capability
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With​ Kolors​ Virtual​ Try-on,​ users​ can​ "try​ on"​ a​ wide​ range​ of​ clothing,​ from​ tops​ to​ dresses.​ The​ model​ can​ retain​ details​ like​ patterns,​ texts,​ and​ designs,​ ensuring​ the​ virtual​ try-on​ experience​ matches​ the​ real​ one.
Kolors​ Virtual​ Try-on​ can​ create​ realistic​ and​ natural​ fitting​ effects.​ Users​ can​ "dress"​ 2D​ clothing​ in​ any​ setting,​ whether​ indoors​ or​ outdoors,​ with​ results​ that​ adhere​ to​ the​ laws​ of​ physics,​ making​ it​ look​ seamless​ and​ lifelike.
 
Powered​ by​ Kolors'​ image-generation​ large​ model,​ the​ system​ can​ generate​ models​ of​ different​ ages,​ genders,​ and​ ethnicities,​ while​ adapting​ to​ various​ backgrounds,​ catering​ to​ global​ e-commerce​ needs.​ Additionally,​ leveraging​ Kling's​ powerful​ image-to-video​ model,​ it​ can​ transform​ model​ photos​ into​ short​ videos,​ enabling​ full-process​ generation​ from​ image​ to​ video.