Update type check of qwenimage_edit

src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit_inpaint.py

@@ -870,6 +870,8 @@ def __call__(
             crops_coords = None
             resize_mode = "default"
 
+        original_image = None
+        prompt_image = None
         if image is not None and not (isinstance(image, torch.Tensor) and image.size(1) == self.latent_channels):
             image = self.image_processor.resize(image, calculated_height, calculated_width)
             original_image = image

src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit_plus.py

@@ -665,6 +665,10 @@ def __call__(
 
         device = self._execution_device
         # 3. Preprocess image
+        condition_image_sizes = None
+        condition_images = None
+        vae_image_sizes = None
+        vae_images = None
         if image is not None and not (isinstance(image, torch.Tensor) and image.size(1) == self.latent_channels):
             if not isinstance(image, list):
                 image = [image]

src/diffusers/pipelines/qwenimage/pipeline_qwenimage_img2img.py

@@ -310,6 +310,7 @@ def encode_prompt(
     def check_inputs(
         self,
         prompt,
+        image,
         strength,
         height,
         width,
@@ -321,6 +322,9 @@ def check_inputs(
         callback_on_step_end_tensor_inputs=None,
         max_sequence_length=None,
     ):
+        if image is None:
+            raise ValueError("`image` input cannot be undefined for img2img generation.")
+
         if strength < 0 or strength > 1:
             raise ValueError(f"The value of strength should in [0.0, 1.0] but is {strength}")
 
@@ -651,6 +655,7 @@ def __call__(
         # 1. Check inputs. Raise error if not correct
         self.check_inputs(
             prompt,
+            image,
             strength,
             height,
             width,