Personalized generated images with custom styles or objects — On 22 Aug 2022, Stability.AI announced the public release of Stable Diffusion, a powerful latent text-to-image diffusion model. The model is capable of generating different variants of images given any text or image as input. Please note that the … model is being released under a Creative ML OpenRAIL-M license…

A multilingual text2image latent diffusion model Kandinsky 2.1 is a new multilingual text2image latent diffusion model that inherits best practices from its predecessor DALL-E 2 and Latent Diffusion. Besides that, it also introduces a few new ideas for text-guided image manipulation and image fusing (interpolation). Most of the open-sourced multilingual…

Normalize chinese text for downstream tasks By reading this piece, you will learn to perform chinese text normalization and inverse text normalization. Text normalization is one of the most important preprocessing steps in natural language processing (NLP). Most of the time, raw text should not be used directly for any…

Generate 3D objects conditioned on text or images By reading this article, you will learn to use Shap-E for 3D objects generation. As of 5 May 2023, OpenAI officially released Shap-E, which is a system to generate 3D objects conditioned on text or images Similar to its predecessor Point-E, Shap-E…

Speeds up image generation by merging redundant tokens The topic for today is on Token Merging (ToMe) to speed up image generating by merging redundant tokens. The token merging concept was first introduced by the team behind Facebook research. Token Merging (ToMe) … allows you to take an existing Vision…

Decomposed Diffusion Models for High-Quality Video Generation By reading this article, you will learn to perform text-to-video generation using TextToVideoSDPipeline, a new pipeline based on the VideoFusion paper. It is available in the development version of the diffusers package (0.15.0.dev0). VideoFusion is a new research initiative by the Damo Vilab…

New implementation for startup and shutdown logic By reading this piece, you will learn to implement lifespan events in your FastAPI for startup and shutdown logic. From version 0.93.0 onward, the fastapi module officially supports the lifespan event, which replaces the startup and shutdown events. startup and shutdown events will…

Better control for text-to-image generation This tutorial covers a step-by-step guide on text-to-image generation with ControlNet conditioning using the HuggingFace’s diffusers package. ControlNet is a neural network structure to control diffusion models by adding extra conditions. It provides a way to augment Stable Diffusion with conditional inputs such as scribbles…

Based on the HuggingFace’s datasets package The topic for today is about how to speed up the data loading process using the HuggingFace’s datasets package. For your information, the datasets module is part of the HuggingFace’s data loader ecosystem. It serves as an easy-to-use and efficient data manipulation tools. It…