22

app.py

@@ -135,14 +135,14 @@ def inference(
 
     print("DEBUG: mask_image")
     if mask_image is not None:
-        mask_image = image_utils.rescale_image(mask_image, 1, 8, max_size=1280)
+        mask_image, w, h = image_utils.rescale_image(mask_image, 1, 8, max_size=1280)
         mask_image = get_image_latent(mask_image, sample_size=sample_size)[:, :1, 0]
     else:
         mask_image = torch.ones([1, 1, sample_size[0], sample_size[1]]) * 255
 
     print("DEBUG: control_image_torch")
     processor = Processor('canny')
-    control_image = image_utils.rescale_image(input_image, 1, 8, max_size=1280)
+    control_image, w, h = image_utils.rescale_image(input_image, 1, 8, max_size=1280)
     control_image = control_image.resize((1024, 1024))
     control_image = processor(control_image, to_pil=True)
     control_image = control_image.resize((width, height))