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This demo builds on the Word-As-Image for Semantic Typography work to support Arabic fonts and morphing whole words into semantic concepts. It is part of an ongoing effort with the ARBML community to make open-source Arabic tools using machine learning. The attached GIF are 7 outputs of the program when given the Arabic name of an animal in text and asked to morph it into a visual representation of the actual animal. The input of course can be any text and the output any concept. I am planning on adding support to different Arabic fonts in the future and support for other languages as well.
Hi there! We assigned a T4 grant! Please note that GPU grants might be temporary (in other words, if usage is very low after some weeks the grants might be automatically removed). Please also note you might require to do some changes to ensure you're using the GPU. https://huggingface.co/docs/hub/spaces-gpus#frameworks