AnyText - A multilingual visual text generation and editing tool by Alibaba Cloud DAMO Academy.

## Introduction to AnyText AnyText is a multilingual visual text generation and editing tool developed by Alibaba Cloud DAMO Academy. It allows users to add generated text to images, supporting languages such as Chinese, English, Japanese, and Korean. The tool is particularly useful for applications like e-commerce posters, logo design, creative graffiti, and memes. ## Language Support in AnyText AnyText supports multiple languages, including Chinese, English, Japanese, and Korean, making it versatile for global users. ## Features of AnyText AnyText offers several key features, including multilingual support, text generation and editing modes, detailed parameter configurations, and rich examples. It is particularly suited for AIGC applications like e-commerce posters, logo design, creative graffiti, and memes. The tool is currently free to use. ## Application Scenarios of AnyText AnyText is widely used in visual content creation, especially for applications that require text and image integration. It is ideal for e-commerce poster design, brand logo generation, creative graffiti, and meme creation. ## Accessing AnyText Users can access AnyText through the [ModelScope Studio](https://modelscope.cn/studios/damo/studio_anytext/summary) to experience the tool. It is currently free to use. ## Technical Details of AnyText AnyText is based on the paper "AnyText: Multilingual Visual Text Generation And Editing," which was accepted as a spotlight paper at ICLR 2024. The project is open-source, with resources available on GitHub. It also provides online demos on HuggingFace and API documentation for developers. The tool requires more than 8GB of GPU memory for inference and significant time for training, depending on the hardware used. ## Datasets Supported by AnyText AnyText supports datasets such as AnyWord-3M and AnyText-benchmark, which are used for multilingual text generation research and evaluation. ## Hardware Requirements for AnyText AnyText requires more than 8GB of GPU memory for FP16 inference and approximately 7.5GB for 512x512 image generation without a translator. Training the model takes about 312 hours on 8xA100 (80GB) GPUs or 60 hours on 8xV100 (32GB) GPUs when trained on 200k images. ## Future Outlook for AnyText With the introduction of AnyText2 and the expansion of datasets, the performance and application scope of AnyText are expected to improve further. The tool is poised to become an even more powerful resource for creative and commercial applications in the AIGC field. ### Citation sources: - [AnyText](https://modelscope.cn/studios/damo/studio_anytext/summary) - Official URL Updated: 2025-03-26