The editor for ASCII-graphics, combining a graphical editor and an image to text converter. Decorate your text and surprise your readers with an original social media post or blog post using ASCII graphics. The tool does not require an internet connection and can work offline in a browser.

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.

🐛🐛🐛 Text image can "textify" text, images, and videos, and can be used with simple configuration

[BMVC 2023] Zero-shot Composed Text-Image Retrieval

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

Official implementation of the work "Text-Driven Image Editing via Learnable Regions" (CVPR 2024)

A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it

✏️ Text image generator on HTML canvas

微信小程序的图文编辑功能，可针对单个输入框的文字进行简单样式调整，在文字中间插入、删除图片；

iOS 富文本编辑，原生图文混排 图文并茂 NSAttributedString转html html转NSAttributedString base64图片上传,Rich Text Editor

一个基于内容的图像检索系统

Line and Word Segmentation for Bangla Handwritten Text Recognition

A Light Neural Network To Control Stable Diffusion Spatial Information tuned by Chinese

This repository is based on the work done for the Bangla Handwritten Line Segmentation

convert raster images to their text art representations

Adversarial learning system which generate image from text description using self-attention modules

Replication Code for: Making Text-Image Connection Formal and Practical

lmmtoolkit is a toolkit for Multi-Modal Learning

Paging menu controller having text and imageview in the Tab

Software tool that compresses text binary images (lossless compression) to less than 0.002% of their original size on average.