That's done in professional contexts, when you only care about inference onnxruntime does the job well (including for coreml [1]). I imagine that here apple wa

That's done in professional contexts, when you only care about inference onnxruntime does the job well (including for coreml [1]). I imagine that here apple wants to highlight a more research/interactive use, for example to allow fine tuning SD on a few samples from a particular domain (a popular customization). [1] https://onnxruntime.ai/docs/execution-providers/CoreML-ExecutionProvider.html https://onnxruntime.ai/docs/execution-providers/CoreML-Execu...