A LoRA-based text-to-image diffusion model specifically designed for NFT art, capable of generating digital artworks with inside-out perspective effects in glass containers.

Computer VisionDiffusersOther

LoRA model fine-tuned based on FLUX.1-dev, capable of creating antique digital color synthesis effects (simulating glass negatives)

Computer VisionDiffusers

LoRA diffusion model based on the FLUX framework, designed specifically for virtual try-on and fashion e-commerce scenarios of Ray-Ban Meta smart glasses

Computer VisionDiffusers

A LoRA fine-tuned model based on Stable Diffusion, specifically designed for generating images featuring Noggles glasses.

Computer VisionDiffusers

A LoRA model based on Stable Diffusion XL, specifically designed for generating stained glass style portraits

Computer VisionDiffusersOther

This model is used to detect the presence of glasses in images, suitable for scenarios such as facial analysis and identity verification.

Computer VisionTransformers

This is a Stable Diffusion model trained using Dreambooth technology, specifically designed for generating portraits of people wearing noggles (glasses).

Computer VisionDiffusers

ResNet26 is an image classification model based on the deep residual learning architecture, a variant in the ResNet series.

Computer VisionTransformers

ResNet26d is an image classification model based on deep residual learning, a variant (d) version of ResNet, optimized for stem structure and shortcut connections.

Computer VisionTransformers

ResNet152 is an image classification model based on deep residual learning, which solves the gradient vanishing problem in deep network training through residual connections.

Computer VisionTransformers

ResNet18 is an image classification model based on deep residual learning, which solves the difficulty of training deep networks through residual connections.

Computer VisionTransformers

ResNet34 is a convolutional neural network architecture based on deep residual learning, specifically designed for image classification tasks.

Computer VisionTransformers

ResNet50 is an image classification model based on deep residual learning, which solves the vanishing gradient problem in deep neural networks through residual connections.

Computer VisionTransformers