Bring this project to life
We are currently experiencing a renaissance in text-to-image generation, thanks to the advancements in Stable Diffusion technology. This innovation has been integrated into various pipelines, expanding its capabilities and applications in computer vision models. From ControlNets to LoRAs to Gaussian Splatting, the possibilities seem endless and promising. In this article, we delve into the intriguing project known as “Improving Diffusion Models for Authentic Virtual Try-on” (IDM-VTON). This project leverages Stable Diffusion technology to enable virtual try-on experiences, allowing users to virtually try on different outfits on any human figure. The potential impact of this technology on online shopping and retail is immense, promising a transformative shopping experience for consumers.
Furthermore, we introduce a novel enhancement to the IDM-VTON pipeline by incorporating Grounded Segment Anything into the masking process. This addition enhances the accuracy and fidelity of the masking process, particularly for clothing the lower body, expanding the utility of the original pipeline. As we explore the project in detail, we will also provide a demonstration and links to run the application in a Paperspace Notebook.
What is IDM-VTON?
IDM-VTON is a cutting-edge pipeline designed to virtually clothe a figure in a garment using two images as input. This virtual try-on process generates an image of a person wearing a selected garment, based on the images of the person and the garment provided.
The model architecture consists of two customized Diffusion UNets, TyonNet and GarmentNet, along with an Image Prompt Adapter (IP-Adapter) module. TyonNet processes the person image, while the IP-Adapter encodes the garment image’s high-level semantics. Simultaneously, GarmentNet encodes the low-level features of the garment image. The final output is achieved by combining the intermediate features from TyonNet and GarmentNet, integrating them with the text encoder and IP-Adapter using a cross-attention layer.
What does IDM-VTON let us do?
IDM-VTON enables users to virtually try on clothes with remarkable versatility and accuracy. This technology can apply upper-torso clothing to any figure while retaining the original pose and features of the subject. Although the computational requirements for diffusion modeling make the process relatively slow, the potential for revolutionizing the retail industry with virtual try-on experiences is immense.
Improving IDM-VTON
In our demonstration, we showcase enhancements made to the IDM-VTON Gradio application, specifically extending the model’s capability to clothe the entire body, except for shoes and hats. This enhancement integrates IDM-VTON with Grounded Segment Anything, a project that utilizes GroundingDINO with Segment Anything for segmenting, masking, and detecting objects in images based on text prompts.
Grounded Segment Anything significantly improves the accuracy and fidelity of the masking process, enabling automatic clothing of the lower body while enhancing the model’s coverage and precision. By toggling the Grounded Segment Anything option, users can experience the enhanced capabilities of the model during the demo.
IDM-VTON Demo
Bring this project to life
To experience the IDM-VTON Demo with our Grounded Segment Anything updates, simply click on the provided link or use the “Run on Paperspace” buttons to initiate the demo. Ensure that the machine is started, and you can adjust the machine code to suit your preferences. Follow the setup instructions to prepare the environment for running the application.
Setup
Start by copying and pasting the environment variables into your terminal to set up the necessary configurations. Then, proceed to install the required libraries and download the essential checkpoints for the application.
Once the setup is complete, you can run the application to experience IDM-VTON in action.
IDM-VTON Application demo
Launch the demo by running the specified command in the terminal or code cell. The application allows you to upload garment and human figure images, enabling you to virtually try on different outfits with ease. Explore the enhanced features of the model, including Grounded Segment Anything, to dress the subject in various clothing options. The versatility and accuracy of IDM-VTON make it an invaluable tool for fashion enthusiasts and retailers alike.
Try out different poses and body types to fully experience the capabilities of IDM-VTON. The potential for virtual try-on experiences is vast, and this technology is poised to revolutionize the way we shop for clothing online.
Closing thoughts
The future potential of IDM-VTON is immense, with the prospect of virtual try-on experiences becoming a standard practice in online retail. The advancements in Stable Diffusion technology and the integration of innovative solutions like Grounded Segment Anything pave the way for a new era in virtual fashion experiences. As we continue to explore and develop similar projects, the possibilities for enhancing the consumer shopping experience are limitless.
