> Look at Stable Diffusion 1.5 and LLaMA: They are thriving, but the original implementations are ancient history, and Meta/StabilityAI/RunawayML have done precisely nothing.

I mean, that’s true of SD 1.5 in the sense that what the original creators have done since is new versions (SD 2.0, 2.1, and currently SDXL, which is apparent another SD2-architecture model, and DeepFloyd.) 2.1 has also seen some community uptake, and XL likely will once it is released unless there’s something inhibiting that. DF seems to be slowed by different architecture and high resource cost, but I’ve seen posts about people integrating the DeepFloyd early stage models with other models from the SD ecosystem for the last stage upscaling and final rendering, so I wouldn’t be surprised to see it integrated in some of the community UIs as both an integrated workflow and with access to the individual models for mix-and-match workflows.