Upload a person image and a garment image to see how the garment looks on the person. Get a virtual try-on result as an image output.

Upload a model and one or two garments to see how they look on the model. Get a virtual try-on result with a watermark.

Upload a person image and a garment image to see how the garment looks on the person. Choose the garment type and get a virtual try-on result.

Upload an image of a person and a garment to see how the garment looks when worn by the person in the image. Optionally use auto-masking and cropping for easier results.

For a practical demonstration of how Outfit Anyone enhances the VTON experience, let's explore an example of using the Hugging Face space dedicated to this Outfit Anyone. Here's how the space looks— · Upload Your Garment: Begin by uploading an image of the garment you want to try on.

Upload a garment image and a person image to generate a new image showing the person wearing the garment. The app processes both images and combines them to produce the desired result.

This application allows users to upload an image of a person and an image of clothing. It then combines them to create a realistic fashion try-on effect, showing how the clothing would look on the ...

3 weeks ago - Official Hugging Face Space: Kwai-Kolors/Kolors-Virtual-Try-On lets you upload a person image plus a garment image and returns a try-on result. Multiple third party sites wrap the same idea, marketing it as “Kolors virtual try on” for free ...

The VTO model is hosted on the Hugging Face Model Hub. (https://huggingface.co/ares1123/virtual-dress-try-on) This model leverages a combination of advanced deep learning techniques and architectures, including stable-diffusion, DreamBooth, feature extraction using the EfficientNetB3 CNN model, and OpenPose for estimating person keypoints.

📱 Key Features Virtual try-on capability using full-body photo and clothing image Customizable fitting strength adjustment (range 0-50) Style transfer intensity control (range 0-1) Intuitive orange-themed user interface Real-time automatic image resizing 28-step sampling for high-quality image generation Quick demonstration through diverse example images Efficient image generation via batch processing Real-time progress tracking with progress bar 💫 Technical Highlights Utilization of FLUX.1 Redux and Depth models High-quality image generation using VAE (Variational AutoEncoder) Sophistic

September 14, 2025 - AI change clothes tools on Hugging Face enable users to upload personal photos and garment images for virtual try-on, creating realistic visuals of changing outfits instantly. This cutting-edge technology improves e-commerce experiences, accelerates ...

OutfitAnyone uses a two-stream conditional diffusion model to achieve high-fidelity garment deformation in virtual try-on scenarios, addressing challenges in control and consistency across diverse images and conditions.

from SegBody import segment_body seg_image, mask_image = segment_body(image, face=False) We need to define the set_ip_adapter_scale(). This method controls the amount of text or image conditioning to apply to the model. A value of 1.0 means the model is only conditioned on the image prompt. Lowering this value encourages the model to produce more diverse images, but they may not be as aligned with the image prompt. In Virtual Try-On we want to make sure the clothing in the final image looks like the IP image so we'll use a value of 1.0:

Hugging Face · Newvibe 's Collections · Videos · AI FACE · Image quality · others · AI virtual model - Tryon · updated Jan 5 · Upvote · 1 · Running on Zero · 2k · 2k · 👕 · High-fidelity Virtual Try-on · Running on CPU Upgrade · 9.58k · 9.58k · 👕 · Try on clothes virtually by uploading images ·

News: Now you can try out OutfitAnyone v0.9 on ModelScope 魔搭 ( for Chinese users ) . Enjoy it and have fun! News: The experience demo of OutfitAnyone v0.9 is now available on Hugging Face.

January 26, 2025 - Revolutionizing Digital Fashion: Hugging Face Open Source Models for Try-On, Generation, and Image Upscaling Virtual try-on technology is revolutionizing digital fashion and e-commerce, offering …

Upload a person image and a garment image to see how the garment looks on the person. Get a virtual try-on result with a seed for reproducibility.

September 4, 2024 - Get ready to explore these cutting edge projects and see how AI is shaping the future. Let’s get started. Outfit Anyone is an innovative project by HumanAIGC that transforms the way we shop for clothes.

An AI clothes changer is a digital tool powered by artificial intelligence that allows users to virtually change or swap clothing in images. It analyzes the person in a photo and intelligently replaces their outfit with a new one while maintaining ...