diff --git a/src/diffusers/modular_pipelines/mellon_node_utils.py b/src/diffusers/modular_pipelines/mellon_node_utils.py
index c931055c794f..aae0427196f1 100644
--- a/src/diffusers/modular_pipelines/mellon_node_utils.py
+++ b/src/diffusers/modular_pipelines/mellon_node_utils.py
@@ -68,6 +68,10 @@ def latents(cls, display: str = "input") -> "MellonParam":
     def image_latents(cls, display: str = "input") -> "MellonParam":
         return cls(name="image_latents", label="Image Latents", type="latents", display=display)
 
+    @classmethod
+    def first_frame_latents(cls, display: str = "input") -> "MellonParam":
+        return cls(name="first_frame_latents", label="First Frame Latents", type="latents", display=display)
+
     @classmethod
     def image_latents_with_strength(cls) -> "MellonParam":
         return cls(
@@ -89,6 +93,10 @@ def latents_preview(cls) -> "MellonParam":
     def embeddings(cls, display: str = "output") -> "MellonParam":
         return cls(name="embeddings", label="Text Embeddings", type="embeddings", display=display)
 
+    @classmethod
+    def image_embeds(cls, display: str = "output") -> "MellonParam":
+        return cls(name="image_embeds", label="Image Embeddings", type="image_embeds", display=display)
+
     @classmethod
     def controlnet_conditioning_scale(cls, default: float = 0.5) -> "MellonParam":
         return cls(
@@ -172,6 +180,10 @@ def num_inference_steps(cls, default: int = 25) -> "MellonParam":
     def num_frames(cls, default: int = 81) -> "MellonParam":
         return cls(name="num_frames", label="Frames", type="int", default=default, min=1, max=480, display="slider")
 
+    @classmethod
+    def layers(cls, default: int = 4) -> "MellonParam":
+        return cls(name="layers", label="Layers", type="int", default=default, min=1, max=10, display="slider")
+
     @classmethod
     def videos(cls) -> "MellonParam":
         return cls(name="videos", label="Videos", type="video", display="output")
@@ -186,6 +198,16 @@ def vae(cls) -> "MellonParam":
         """
         return cls(name="vae", label="VAE", type="diffusers_auto_model", display="input")
 
+    @classmethod
+    def image_encoder(cls) -> "MellonParam":
+        """
+        Image Encoder model info dict.
+
+        Contains keys like 'model_id', 'repo_id', 'execution_device' etc. Use components.get_one(model_id) to retrieve
+        the actual model.
+        """
+        return cls(name="image_encoder", label="Image Encoder", type="diffusers_auto_model", display="input")
+
     @classmethod
     def unet(cls) -> "MellonParam":
         """
diff --git a/src/diffusers/modular_pipelines/wan/modular_blocks.py b/src/diffusers/modular_pipelines/wan/modular_blocks.py
index b3b70b2f9be1..905111bcf42d 100644
--- a/src/diffusers/modular_pipelines/wan/modular_blocks.py
+++ b/src/diffusers/modular_pipelines/wan/modular_blocks.py
@@ -84,7 +84,7 @@ def description(self):
 class WanImage2VideoVaeImageEncoderStep(SequentialPipelineBlocks):
     model_name = "wan"
     block_classes = [WanImageResizeStep, WanVaeImageEncoderStep]
-    block_names = ["image_resize", "vae_image_encoder"]
+    block_names = ["image_resize", "vae_encoder"]
 
     @property
     def description(self):
@@ -142,7 +142,7 @@ def description(self):
 class WanFLF2VVaeImageEncoderStep(SequentialPipelineBlocks):
     model_name = "wan"
     block_classes = [WanImageResizeStep, WanImageCropResizeStep, WanFirstLastFrameVaeImageEncoderStep]
-    block_names = ["image_resize", "last_image_resize", "vae_image_encoder"]
+    block_names = ["image_resize", "last_image_resize", "vae_encoder"]
 
     @property
     def description(self):
@@ -203,7 +203,7 @@ def description(self):
 ## vae encoder
 class WanAutoVaeImageEncoderStep(AutoPipelineBlocks):
     block_classes = [WanFLF2VVaeImageEncoderStep, WanImage2VideoVaeImageEncoderStep]
-    block_names = ["flf2v_vae_image_encoder", "image2video_vae_image_encoder"]
+    block_names = ["flf2v_vae_encoder", "image2video_vae_encoder"]
     block_trigger_inputs = ["last_image", "image"]
 
     @property
@@ -251,7 +251,7 @@ class WanAutoBlocks(SequentialPipelineBlocks):
     block_names = [
         "text_encoder",
         "image_encoder",
-        "vae_image_encoder",
+        "vae_encoder",
         "denoise",
         "decode",
     ]
@@ -353,7 +353,7 @@ class Wan22AutoBlocks(SequentialPipelineBlocks):
     ]
     block_names = [
         "text_encoder",
-        "vae_image_encoder",
+        "vae_encoder",
         "denoise",
         "decode",
     ]
@@ -384,7 +384,7 @@ def description(self):
     [
         ("image_resize", WanImageResizeStep),
         ("image_encoder", WanImage2VideoImageEncoderStep),
-        ("vae_image_encoder", WanImage2VideoVaeImageEncoderStep),
+        ("vae_encoder", WanImage2VideoVaeImageEncoderStep),
         ("input", WanTextInputStep),
         ("additional_inputs", WanAdditionalInputsStep(image_latent_inputs=["first_frame_latents"])),
         ("set_timesteps", WanSetTimestepsStep),
@@ -401,7 +401,7 @@ def description(self):
         ("image_resize", WanImageResizeStep),
         ("last_image_resize", WanImageCropResizeStep),
         ("image_encoder", WanFLF2VImageEncoderStep),
-        ("vae_image_encoder", WanFLF2VVaeImageEncoderStep),
+        ("vae_encoder", WanFLF2VVaeImageEncoderStep),
         ("input", WanTextInputStep),
         ("additional_inputs", WanAdditionalInputsStep(image_latent_inputs=["first_last_frame_latents"])),
         ("set_timesteps", WanSetTimestepsStep),
@@ -416,7 +416,7 @@ def description(self):
     [
         ("text_encoder", WanTextEncoderStep),
         ("image_encoder", WanAutoImageEncoderStep),
-        ("vae_image_encoder", WanAutoVaeImageEncoderStep),
+        ("vae_encoder", WanAutoVaeImageEncoderStep),
         ("denoise", WanAutoDenoiseStep),
         ("decode", WanImageVaeDecoderStep),
     ]
@@ -438,7 +438,7 @@ def description(self):
 IMAGE2VIDEO_BLOCKS_WAN22 = InsertableDict(
     [
         ("image_resize", WanImageResizeStep),
-        ("vae_image_encoder", WanImage2VideoVaeImageEncoderStep),
+        ("vae_encoder", WanImage2VideoVaeImageEncoderStep),
         ("input", WanTextInputStep),
         ("set_timesteps", WanSetTimestepsStep),
         ("prepare_latents", WanPrepareLatentsStep),
@@ -450,7 +450,7 @@ def description(self):
 AUTO_BLOCKS_WAN22 = InsertableDict(
     [
         ("text_encoder", WanTextEncoderStep),
-        ("vae_image_encoder", WanAutoVaeImageEncoderStep),
+        ("vae_encoder", WanAutoVaeImageEncoderStep),
         ("denoise", Wan22AutoDenoiseStep),
         ("decode", WanImageVaeDecoderStep),
     ]