Full Body Virtual Try-on
Virtual Try-On Full Body Workflow
Virtual Try-On Full Body Workflow offers an advanced digital solution for simulating clothing fits. This workflow utilizes cutting-edge technology to enable users to visualize how different outfits will look on their bodies, revolutionizing the online shopping experience.
How the Virtual Try-On Full Body Workflow Works
The Virtual Try-On Full Body Workflow comprises several crucial steps:
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Image Input: Users begin by uploading an image of themselves or choosing a model image. This acts as the base for virtual try-ons.
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Cloth Selection: Users select the clothing item they wish to try on. This image is used to overlay the garment onto the model image.
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Try-On Diffusion: This stage involves processing both the input image and clothing image to align perfectly, ensuring realistic fitting and positioning.
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Image Refinement (Codeformer): The initial try-on result is refined for quality and accuracy, adjusting for light and contour to enhance visual coherence.
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Face Detailer: This step focuses on maintaining the natural appearance of facial features, ensuring the final output remains true-to-life with clear and smooth skin textures.
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Output Generation: The processed image is produced, showcasing the selected outfit on the user or model in a realistic manner.
How to Use the Virtual Try-On Full Body Workflow
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Upload an Image: Start by clicking to upload or drag-and-drop an image of yourself or a model.
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Select Clothing: Choose the garment image from the available options or upload a new one to try on.
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View and Adjust: The system will automatically process and display the result. Adjust any components if necessary for a perfect fit.
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Finalize Output: Review the final image output, accurately displaying how the clothing fits.
Use Cases
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Online Shopping: Enhance customer experience by allowing them to virtually try on outfits before purchase.
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Fashion Designers: Preview designs on models without the need for physical prototypes.
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Retail Marketing: Create engaging visuals for e-commerce platforms that display products in a more interactive manner.
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Personal Styling: Experiment with different styles and outfits to find the best looks without physical constraints.
Models Used in the Pixelflow
face-detailer
Restore characters' faces to their original glory with Face Detailer. Enhance facial details, eliminate distortion, and upscale images for stunning results.

try-on-diffusion
Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
