TIFA uses a language model (LM), a question answering (QA) model, and a visual question answering (VQA) model. Given a text input, we generate several question-answer pairs with the LM and then filter them via the QA model. To evaluate the faithfulness of a synthesized image to the text input, a VQA model answers these visual questions using the image, and we check the answers for correctness.