Users of AI image generation tools like Stable Diffusion can experience a degradation in their quality standards over time, leading them to accept outputs that are objectively poor. This phenomenon is exacerbated by the rapid pace of model development, where newer models may exhibit foundational flaws despite extensive training. The author notes that some models, like LTX2.3, struggle with basic physics and movement understanding, while older models like Wan 2.2, despite lacking other qualities, possess a better grasp of these fundamentals. AI
IMPACT Users may need to actively recalibrate their quality expectations when working with rapidly evolving AI image generation models.
RANK_REASON This is a user opinion piece discussing a phenomenon related to AI image generation tools, not a release or significant industry event.
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