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description=LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models;

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llm grounded diffusion enhancing prompt understanding of text to image diffusion models with large language models llm grounded diffusion enhancing prompt understanding of text to image diffusion models with large language models long lian boyi li adam yala trevor darrell uc berkeley uc berkeley uc berkeley ucsf uc berkeley paper 5 min blog post full demo code updated with sdxl poster citation related project lvd tl dr text prompt llm intermediate representation such as an image layout stable diffusion image llm grounded diffusion we equip diffusion models with enhanced spatial and common sense reasoning by using off the shelf frozen llms in a novel two stage generation process visualizations llm grounded diffusion enhances the prompt understanding ability of text to image diffusion models additional capabilities incorporating an llm for prompt understanding lmd is able to perform dialog based scene specification and generation from prompts in a language chinese in the example above that the underlying diffusion model does not support additional capabilities multi round scene specification more visualizations with lmd layout citation if you use this work or find it helpful please consider citing article lian2023llmgrounded title llm grounded diffusion enhancing prompt understanding of text to image diffusion models with large language models author lian long and li boyi and yala adam and darrell trevor journal arxiv preprint arxiv 2305 13655 year 2023 credit the design of this project page references the project pages of nerf deepmotionediting and lerf