Add utility to inspect a model's parameters (to get dtype/device)

modules/upscaler_utils.py

@@ -7,6 +7,7 @@ import tqdm
 from PIL import Image
 
 from modules import images, shared
+from modules.torch_utils import get_param
 
 logger = logging.getLogger(__name__)
 
@@ -17,8 +18,8 @@ def upscale_without_tiling(model, img: Image.Image):
     img = np.ascontiguousarray(np.transpose(img, (2, 0, 1))) / 255
     img = torch.from_numpy(img).float()
 
-    model_weight = next(iter(model.model.parameters()))
-    img = img.unsqueeze(0).to(device=model_weight.device, dtype=model_weight.dtype)
+    param = get_param(model)
+    img = img.unsqueeze(0).to(device=param.device, dtype=param.dtype)
 
     with torch.no_grad():
         output = model(img)