in this tutorial, we show the step by step process for fine-tuning a FLUX.1 model on an NVIDIA GPU on the cloud ..read more

The Monkey Vision model, when combined with DigitalOcean + Paperspace's cloud GPUs, excels in generating detailed image captions and analyzing images through the Monkey Chat Vision model ..read more

In this tutorial, we use Gradio to examine adversarial attacks and their potential for misdirecting models towards making inaccurate predictions ..read more

In this article, we show how to use FLUX image generation models with Paperspace H100s ..read more

In this article, we will explore SAM 2, which expands the capabilities of the original SAM to handle both images and videos. It excels in real-time object segmentation, enabling dynamic interaction through prompts and memory attention ..read more

In this article learn about Panoptic segmentation, an advanced technique offers detailed image analysis, making it crucial for applications in autonomous driving, medical imaging, and more ..read more

This article will discuss Depth Anything V2, a practical solution for robust monocular depth estimation. Depth Anything model aims to create a simple yet powerful foundation model that works well with any image under any conditions. The dataset was significantly expanded using a data engine to collect and automatically annotate around 62 million unlabeled images to achieve this. This large-scale data helps reduce generalization errors. This powerful model uses two key strategies to make the data scaling effective. First, a more challenging optimization target is set using data augmentation to ..read more

DETR (Detection Transformer) is a deep learning architecture first proposed as a new approach to object detection. It's the first object detection framework to successfully integrate transformers as a central building block in the detection pipeline. DETR completely changes the architecture compared with previous object detection systems. In this article, we delve into the concept of Detection Transformer (DETR), a groundbreaking approach to object detection. Join our Discord Community Get started Join the community What is Object Detection? According to Wikipedia, object detection is a co ..read more

Transformers are the backbones to power-up models like BERT, the GPT series, and ViT. However, its attention mechanism has quadratic complexity, making it challenging for long sequences. To tackle this, various token mixers with linear complexity have been developed. Recently, RNN-based models have gained attention for their efficient training and inference on long sequences and have shown promise as backbones for large language models. Inspired by these capabilities, researchers have explored using Mamba in visual recognition tasks, leading to models like Vision Mamba, VMamba, LocalMamba, an ..read more

Bring this project to life Run on Paperspace In the Gen-AI world, you can now experiment with different hairstyles and create a creative look for yourself. Whether contemplating a drastic change or simply seeking a fresh look, the process of imagining oneself with a new hairstyle can be both exciting and daunting. However, with the use of artificial intelligence (AI) technology, the landscape of hairstyling transformations is undergoing a groundbreaking revolution. Imagine being able to explore an endless array of hairstyles, from classic cuts to 90's designs, all from the comfort of your ..read more