Add missing 'Copied from' comments and remove deprecated vae tiling and vae slicing functions

Author: dimitribarbot

src/diffusers/pipelines/qwenimage/pipeline_qwenimage_edit_controlnet.py

@@ -173,6 +173,7 @@ def retrieve_latents(
         raise AttributeError("Could not access latents of provided encoder_output")
 
 
+# Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit.calculate_dimensions
 def calculate_dimensions(target_area, ratio):
     width = math.sqrt(target_area * ratio)
     height = width / ratio
@@ -247,6 +248,7 @@ def _extract_masked_hidden(self, hidden_states: torch.Tensor, mask: torch.Tensor
 
         return split_result
 
+    # Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit.QwenImageEditPipeline._get_qwen_prompt_embeds
     def _get_qwen_prompt_embeds(
         self,
         prompt: Union[str, List[str]] = None,
@@ -294,6 +296,7 @@ def _get_qwen_prompt_embeds(
 
         return prompt_embeds, encoder_attention_mask
 
+    # Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit.QwenImageEditPipeline.encode_prompt
     def encode_prompt(
         self,
         prompt: Union[str, List[str]],
@@ -335,6 +338,7 @@ def encode_prompt(
 
         return prompt_embeds, prompt_embeds_mask
 
+    # Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit.QwenImageEditPipeline.check_inputs
     def check_inputs(
         self,
         prompt,
@@ -416,6 +420,7 @@ def _unpack_latents(latents, height, width, vae_scale_factor):
 
         return latents
 
+    # Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit.QwenImageEditPipeline._encode_vae_image
     def _encode_vae_image(self, image: torch.Tensor, generator: torch.Generator):
         if isinstance(generator, list):
             image_latents = [
@@ -439,59 +444,7 @@ def _encode_vae_image(self, image: torch.Tensor, generator: torch.Generator):
 
         return image_latents
 
-    def enable_vae_slicing(self):
-        r"""
-        Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
-        compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
-        """
-        depr_message = f"Calling `enable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_slicing()`."
-        deprecate(
-            "enable_vae_slicing",
-            "0.40.0",
-            depr_message,
-        )
-        self.vae.enable_slicing()
-
-    def disable_vae_slicing(self):
-        r"""
-        Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
-        computing decoding in one step.
-        """
-        depr_message = f"Calling `disable_vae_slicing()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_slicing()`."
-        deprecate(
-            "disable_vae_slicing",
-            "0.40.0",
-            depr_message,
-        )
-        self.vae.disable_slicing()
-
-    def enable_vae_tiling(self):
-        r"""
-        Enable tiled VAE decoding. When this option is enabled, the VAE will split the input tensor into tiles to
-        compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
-        processing larger images.
-        """
-        depr_message = f"Calling `enable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.enable_tiling()`."
-        deprecate(
-            "enable_vae_tiling",
-            "0.40.0",
-            depr_message,
-        )
-        self.vae.enable_tiling()
-
-    def disable_vae_tiling(self):
-        r"""
-        Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
-        computing decoding in one step.
-        """
-        depr_message = f"Calling `disable_vae_tiling()` on a `{self.__class__.__name__}` is deprecated and this method will be removed in a future version. Please use `pipe.vae.disable_tiling()`."
-        deprecate(
-            "disable_vae_tiling",
-            "0.40.0",
-            depr_message,
-        )
-        self.vae.disable_tiling()
-
+    # Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit.QwenImageEditPipeline.prepare_latents
     def prepare_latents(
         self,
         image,