Hi Daller,
I completely agree with your observations—especially the “bird-shit moon” and chromatic aberrations. I’ve noticed that issues like shadows with blue tints, overly bright spots, and misaligned volumetric lights have been consistent since around mid-November.
From my testing, it seems the issue lies partly in the NLP model issuing commands to the renderer. For instance, prompts for specific styles often include unintended elements. Moreover, backgrounds and textures like silk or metal often get misinterpreted, as you pointed out.
I also noticed improvements in specific aspects (e.g., clothing details), but the rendering problems persist. Your theory about training data or weight discrepancies makes sense. Hopefully, with continued feedback, the team can address these issues and perhaps revert to an earlier, more stable version of the model.
Let’s hope they take this feedback seriously—we all miss the consistent quality from before November!