Demo for Attention Distillation
Transform your face into Avatar 2 style!
Customize theme for your webpage
A simple NST demo on VGG-19 model
Transform images by applying a chosen style
Style Transfer with Tensorflow 2
Neural style transfer via stable latent diffusion
Style Transfer images with artistic effects
Apply style to images using neural style transfer
Transform images to a unique style
Customize and view themes for Open WebUI
Apply artistic styles to images
Generate transparent image by removing background
AttentionDistillation is a Style Transfer application designed to transfer the style of one image to another while preserving the content of the target image. It leverages advanced attention mechanisms to ensure high-quality style transfer, making it ideal for creative image manipulation.
What is style transfer?
Style transfer is a technique where the visual style of one image is applied to another image while retaining the content of the target image.
How does AttentionDistillation handle large images?
AttentionDistillation is optimized for performance and can handle various image sizes, though processing time may increase with larger images.
Can I customize the output results?
Yes, you can adjust parameters such as attention weights and blending ratios to achieve your desired style transfer outcomes.