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GLIGEN: Open-Set Grounded Text-to-Image Generation
GLIGEN (Grounded-Language-to-Image Generation) a novel approach that builds upon and extends the functionality of existing pre-trained text-to-image diffusion models by enabling them to also be conditioned on grounding inputs.
Project page:
https://gligen.github.io/
Paper:
https://arxiv.org/abs/2301.07093
Github (coming soon):
https://github.com/gligen/GLIGEN
Demo:
https://huggingface.co/spaces/gligen/demo
@MachineLearning_Programming
BY Computer Science and Programming

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