Home » Blog » Getting Started with Diffusers for Text-to-Image Table of Contents In this tutorial, you will learn to generate images from text descriptions using the Diffusers library from Hugging Face. To learn how to get started with using…
NLP models, especially Transformer models are good at many natural language tasks. Still, building something useful using Transformer models is difficult. I have started working on a new project using Transformers, focused on spelling and grammar correction, soon to be…
Open-source software algorithms and data analysis The first selected algorithm was MUSCLEMOTION (MM)36: a Fiji®-implemented macro for motion tracking. The cell contraction is evaluated as the mean pixel intensity of the image resulting from the difference between two frames36. Thus,…
MF encodings remain distinct while PP encodings build concepts in our model for CA3 We model how representations of memories are transformed along the two pathways from EC to CA3 and then how the resultant encodings are stored and retrieved…
Introduction Bring this project to life Large-scale Text-to-Image (T2I) models, like Stable Diffusion, have gained rapid prominence in creative domains, producing visually captivating outputs based on textual prompts. Despite their success, ensuring a consistent style control remains a challenge, often…
The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and challenging odyssey to understand the elusive and deadly disease. To date, there is no better cancer treatment than early…
Two insect-like robots, a mini-bug and a water strider, developed at Washington State University, are the smallest, lightest and fastest fully functional micro-robots ever known to be created. Such miniature robots could someday be used for work in areas such…
An innovative study at Marshall University published in ArthroplastyToday explores the use of robotic-assisted joint replacement in revision knee scenarios, comparing the pre- and post-revision implant positions in a series of revision total knee arthroplasties (TKA) using a state-of-the-art robotic…
Bring this project to life Introduction The Segment Anything task involves image segmentation by generating a segmentation mask effectively based on diverse prompts. These prompts can take various forms, including foreground/background point sets, approximate boxes or masks, free-form text, or…
What is the likelihood of dying in a plane crash? According to a 2022 report released by the International Air Transport Association, the industry fatality risk is 0.11. In other words, on average, a person would need to take a…
TL;DR: LangGraph is module built on top of LangChain to better enable creation of cyclical graphs, often needed for agent runtimes. Introduction One of the things we highlighted in our LangChain v0.1 announcement was the introduction of a new library:…
The analysis pipeline tested in the current investigation is summarized in Fig. 4. The initial analysis steps focused on merging XRD patterns and FTIR spectra to enlarge the dataset’s size and test if these joint attributes might reveal critical aspects…