Update IPEX logging

installer.py

@@ -337,7 +337,8 @@ def check_torch():
             if args.use_ipex and allow_ipex:
                 import intel_extension_for_pytorch as ipex # pylint: disable=import-error, unused-import
                 log.info(f'Torch backend: Intel IPEX {ipex.__version__}')
-                log.info(f'{os.popen("icpx --version").read().rstrip()}')
+                if shutil.which('icpx') is not None:
+                    log.info(f'{os.popen("icpx --version").read().rstrip()}')
                 for device in range(torch.xpu.device_count()):
                     log.info(f'Torch detected GPU: {torch.xpu.get_device_name(device)} VRAM {round(torch.xpu.get_device_properties(device).total_memory / 1024 / 1024)} Compute Units {torch.xpu.get_device_properties(device).max_compute_units}')
             elif torch.cuda.is_available() and (allow_cuda or allow_rocm):

modules/sd_models.py

@@ -721,18 +721,21 @@ def load_diffuser(checkpoint_info=None, already_loaded_state_dict=None, timer=No
                 shared.log.info("Model compile enabled: IPEX Optimize Graph Mode")
             if op == 'refiner':
                 gpu_vram = memory_stats().get('gpu', {})
-                if (gpu_vram.get('total', 0) - gpu_vram.get('used', 0)) >= 7 if "StableDiffusionXL" in sd_model.__class__.__name__ else 3.5:
+                if not shared.opts.diffusers_move_base and (gpu_vram.get('total', 0) - gpu_vram.get('used', 0)) >= 7 if "StableDiffusionXL" in sd_model.__class__.__name__ else 3.5:
                     sd_model.to(devices.device)
                     base_sent_to_cpu=False
                 else:
-                    shared.log.info(f"Not enough VRAM to optimize refiner, using RAM as fallback. Free VRAM: {gpu_vram.get('total', 0) - gpu_vram.get('used', 0)} GB")
+                    if shared.opts.diffusers_move_base:
+                        pass
+                    else:
+                        shared.log.info(f"Not enough VRAM to optimize refiner, using RAM as fallback. Free VRAM: {gpu_vram.get('total', 0) - gpu_vram.get('used', 0)} GB")
+                        shared.opts.diffusers_move_base=True
+                        shared.opts.diffusers_move_refiner=True
                     shared.log.debug('Moving base model to CPU')
                     model_data.sd_model.to("cpu")
                     devices.torch_gc(force=True)
                     sd_model.to(devices.device)
                     base_sent_to_cpu=True
-                    shared.opts.diffusers_move_base=True
-                    shared.opts.diffusers_move_refiner=True
             else:
                 sd_model.to(devices.device)
             sd_model.unet = torch.xpu.optimize(sd_model.unet, dtype=devices.dtype, auto_kernel_selection=True, optimize_lstm=True, # pylint: disable=attribute-defined-outside-init