ComfyUI > Nodes > ComfyUI > Kling Virtual Try On

ComfyUI Node: Kling Virtual Try On

Class Name

KlingVirtualTryOnNode

Category
api node/image/Kling
Author
ComfyAnonymous (Account age: 763days)
Extension
ComfyUI
Latest Updated
2026-05-13
Github Stars
112.77K

How to Install ComfyUI

Install this extension via the ComfyUI Manager by searching for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

Kling Virtual Try On Description

Facilitates virtual clothing try-on with image overlay for realistic previews, supporting multiple items merging.

Kling Virtual Try On:

The Kling Virtual Try On Node is designed to facilitate a virtual fitting room experience by allowing you to digitally try on clothing items. This node takes a human image and a cloth image as inputs and overlays the clothing onto the human figure, providing a realistic preview of how the garment would look when worn. This functionality is particularly beneficial for fashion designers, retailers, and consumers who wish to visualize clothing on a model without the need for physical trials. The node supports merging multiple clothing items into a single image with a white background, enhancing the versatility of the virtual try-on process. By leveraging advanced image processing techniques, the Kling Virtual Try On Node offers a seamless and efficient way to explore fashion combinations and make informed decisions.

Kling Virtual Try On Input Parameters:

human_image

The human_image parameter is a crucial input that represents the image of the person on whom the clothing will be virtually tried on. This image should be clear and well-lit to ensure accurate overlay of the clothing. The quality and resolution of this image can significantly impact the realism and effectiveness of the virtual try-on process.

cloth_image

The cloth_image parameter is the image of the clothing item that you wish to try on the human figure. This image should ideally be isolated on a plain background to facilitate easy integration with the human image. The clarity and detail of the cloth image are important for achieving a realistic virtual try-on effect.

model_name

The model_name parameter allows you to select the specific virtual try-on model to be used for the process. Options include various pre-trained models, with the default being "kolors-virtual-try-on-v1". The choice of model can affect the style and accuracy of the virtual try-on, so selecting the appropriate model based on your needs is essential.

Kling Virtual Try On Output Parameters:

Image

The output of the Kling Virtual Try On Node is an Image that showcases the human figure wearing the selected clothing item. This image provides a visual representation of how the garment would appear on the person, allowing for easy assessment and decision-making. The output image is generated with a white background, ensuring that the focus remains on the clothing and the human figure.

Kling Virtual Try On Usage Tips:

  • Ensure that both the human and cloth images are of high quality and have good lighting to achieve the best results.
  • Experiment with different model names to find the one that best suits your specific virtual try-on needs and provides the most realistic results.
  • Use images with plain backgrounds to facilitate easier and more accurate integration of the clothing onto the human figure.

Kling Virtual Try On Common Errors and Solutions:

"Invalid image format"

  • Explanation: This error occurs when the input images are not in a supported format or are corrupted.
  • Solution: Ensure that the images are in a standard format such as JPEG or PNG and are not corrupted before uploading.

"Model not found"

  • Explanation: This error indicates that the specified model name does not exist or is not available.
  • Solution: Verify the model name and ensure it is correctly spelled and available in the list of supported models.

"Image resolution too low"

  • Explanation: This error arises when the input images have a resolution that is too low for effective processing.
  • Solution: Use higher resolution images to ensure that the virtual try-on process can be executed with sufficient detail and accuracy.

Kling Virtual Try On Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.