[fix]:flux2 i2i auto target shape

Author: Antigravity

lightx2v/models/runners/flux2_klein/flux2_klein_runner.py

@@ -110,7 +110,7 @@ def _run_input_encoder_local_i2i(self):
             input_image = [input_image]
 
         condition_images = []
-        for img in input_image:
+        for index, img in enumerate(input_image):
             image_processor.check_image_input(img)
             image_width, image_height = img.size
             if image_width * image_height > 1024 * 1024:
@@ -122,9 +122,8 @@ def _run_input_encoder_local_i2i(self):
             image_height = (image_height // multiple_of) * multiple_of
             img = image_processor.preprocess(img, height=image_height, width=image_width, resize_mode="crop")
             condition_images.append(img.to(AI_DEVICE))
-            if not hasattr(self.input_info, "auto_width"):
-                self.input_info.auto_width = image_width
-                self.input_info.auto_height = image_height
+            if index == 0:
+                self.input_info.target_shape = (image_height, image_width)
 
         torch.cuda.empty_cache()
         gc.collect()
@@ -254,26 +253,18 @@ def get_custom_shape(self):
         return (width, height)
 
     def set_target_shape(self):
-        multiple_of = self.config.get("vae_scale_factor", 8) * 2
-
         task = self.config.get("task", "t2i")
-        if task == "i2i" and hasattr(self.input_info, "auto_width"):
-            width = self.input_info.auto_width
-            height = self.input_info.auto_height
-        else:
+        if task == "i2i":  # for i2i task, the target shape is already set in _run_input_encoder_local_i2i
+            height, width = self.input_info.target_shape
+        else:  # for t2i task, calculate the target shape based on the resolution
             custom_shape = self.get_custom_shape()
             if custom_shape is not None:
                 width, height = custom_shape
             else:
                 calculated_width, calculated_height, _ = calculate_dimensions(self.resolution * self.resolution, 16 / 9)
                 width = calculated_width // multiple_of * multiple_of
                 height = calculated_height // multiple_of * multiple_of
-
-            self.input_info.auto_width = width
-            self.input_info.auto_height = height
-
-        self.input_info.target_shape = (height, width)
-        logger.info(f"Flux2Klein Image Runner set target shape: {width}x{height}")
+                self.input_info.target_shape = (height, width)
 
         multiple_of = self.config.get("vae_scale_factor", 8) * 2