# High-Resolution Adaptation

A ViT image classification model using RoPE, pre-trained with CAPI and fine-tuned on ImageNet-21K, suitable for image classification and detection tasks.

IP adapter checkpoint based on the FLUX.1-dev model for image-to-image conversion tasks

PaliGemma is a lightweight vision-language model developed by Google, built upon the SigLIP vision model and Gemma language model, supporting multilingual text generation and visual understanding tasks.

PaliGemma is a multi-functional lightweight vision-language model (VLM) that combines image and text inputs to generate text outputs and supports multiple languages.

A realistic style image generation model based on Stable Diffusion 1.5, capable of producing high-quality, photorealistic images.