Your Opinion on Zimage - loss of interest or bar to high?

A viral discussion in the AI art community is probing a curious paradox: while Zimage models (including Turbo and Base variants) consistently rank as users' favorite image generators in polls, the ecosystem around them has seen a dramatic slowdown in new community contributions. A year ago, platforms like CivitAI and Tensor.art would explode with daily releases of new fine-tuned checkpoints and LoRAs (Low-Rank Adaptations) for models like Stable Diffusion XL (SDXL), Flux, and Pony. Today, that frantic pace has nearly halted for Zimage, despite its technical acclaim.

Community members and experts point to several potential causes. The primary theory is that Zimage's high technical bar for effective training has created a bottleneck, cutting out the broader hobbyist community that drove previous model ecosystems. Training a competitive Zimage checkpoint or LoRA may require more expertise, computational power, or specialized data than working with SDXL. Alternatively, the creative energy of the AI community may be shifting toward the next frontier: AI video generation with tools like Sora, Runway, and Pika. Finally, Zimage's initial quality may be so high that it presents a 'high bar' problem, where incremental improvements are harder to achieve and thus less motivating for creators to pursue, leading to a loss of interest.