Diffusion models have advanced significantly, but how well do we understand their workings? How do textual tokens impact output, and where do biases and failures occur? In our @NeurIPS 2024 paper, we introduce DiffusionPID to answer these questions and more. #neurips2024
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We use our method to conduct a detailed analysis of diffusion models in various situations:
To reveal gender and ethnic biases learnt by the model
To understand failures on prompts containing homonyms, synonyms and co-hyponyms
In prompt intervention to discard redundant words
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