PixelFlow allows you to use all these features
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
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.
