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A question on AI Stack Exchange asks how transformers and diffusion models differ in image generation, and whether transformer-based models are better at photorealism, text rendering and instruction following depending on architecture and training data.
Written by AI from AI Stack Exchange's published text.
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“What is the difference between transformers and diffusion models in image generation? Are transformer-based models better at photorealism, text rendering and instruction following, given architecture choice and training data?”
Interpretation or community commentary rather than straight reporting.
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