tweak

app.py

@@ -11,10 +11,22 @@ from diffusers.utils import PIL_INTERPOLATION, load_image, torch_device
 
 from pkg.util import img_binary_data_to_pil, resizePilToMaxSide, pil_to_base64
 
+if False:
+    torch_device = 'cpu'
 
+print(f'Running inference on {torch_device}')
 torch.backends.cuda.matmul.allow_tf32 = False
 ldm = LDMSuperResolutionPipeline.from_pretrained("duongna/ldm-super-resolution", device_map="auto")
 ldm.to(torch_device)
+
+if False:
+    print(f"{ldm.device=}")
+    print(f"{type(ldm.components)=}")
+    print(f"{ldm.components.keys()=}")
+    print(f"{ldm.components['vqvae'].device=}")
+    print(f"{ldm.components['unet'].device=}")
+    print(f"{ldm.components['scheduler'].config=}")
+
 ldm.set_progress_bar_config(disable=None)
 generator = torch.Generator(device=torch_device).manual_seed(0)