Add _no_split_modules to some models

src/diffusers/models/modeling_utils.py

@@ -1214,7 +1214,7 @@ def _get_signature_keys(cls, obj):
     # Adapted from `transformers` modeling_utils.py
     def _get_no_split_modules(self, device_map: str):
         """
-        Get the modules of the model that should not be spit when using device_map. We iterate through the modules to
+        Get the modules of the model that should not be split when using device_map. We iterate through the modules to
         get the underlying `_no_split_modules`.
 
         Args:

src/diffusers/models/transformers/cogvideox_transformer_3d.py

@@ -210,6 +210,7 @@ class CogVideoXTransformer3DModel(ModelMixin, ConfigMixin, PeftAdapterMixin):
     """
 
     _supports_gradient_checkpointing = True
+    _no_split_modules = ["CogVideoXBlock", "CogVideoXPatchEmbed"]
 
     @register_to_config
     def __init__(

src/diffusers/models/transformers/transformer_allegro.py

@@ -221,6 +221,8 @@ class AllegroTransformer3DModel(ModelMixin, ConfigMixin):
             Scaling factor to apply in 3D positional embeddings across time dimension.
     """
 
+    _supports_gradient_checkpointing = True
+
     @register_to_config
     def __init__(
         self,

src/diffusers/models/transformers/transformer_cogview3plus.py

@@ -166,6 +166,7 @@ class CogView3PlusTransformer2DModel(ModelMixin, ConfigMixin):
     """
 
     _supports_gradient_checkpointing = True
+    _no_split_modules = ["CogView3PlusTransformerBlock", "CogView3PlusPatchEmbed"]
 
     @register_to_config
     def __init__(

src/diffusers/models/transformers/transformer_hunyuan_video.py

@@ -542,6 +542,12 @@ class HunyuanVideoTransformer3DModel(ModelMixin, ConfigMixin, PeftAdapterMixin,
     """
 
     _supports_gradient_checkpointing = True
+    _no_split_modules = [
+        "HunyuanVideoTransformerBlock",
+        "HunyuanVideoSingleTransformerBlock",
+        "HunyuanVideoPatchEmbed",
+        "HunyuanVideoTokenRefiner",
+    ]
 
     @register_to_config
     def __init__(

tests/models/transformers/test_models_transformer_cogvideox.py

@@ -71,7 +71,7 @@ def prepare_init_args_and_inputs_for_common(self):
             "out_channels": 4,
             "time_embed_dim": 2,
             "text_embed_dim": 8,
-            "num_layers": 1,
+            "num_layers": 2,
             "sample_width": 8,
             "sample_height": 8,
             "sample_frames": 8,
@@ -130,7 +130,7 @@ def prepare_init_args_and_inputs_for_common(self):
             "out_channels": 4,
             "time_embed_dim": 2,
             "text_embed_dim": 8,
-            "num_layers": 1,
+            "num_layers": 2,
             "sample_width": 8,
             "sample_height": 8,
             "sample_frames": 8,

tests/models/transformers/test_models_transformer_cogview3plus.py

@@ -71,7 +71,7 @@ def prepare_init_args_and_inputs_for_common(self):
         init_dict = {
             "patch_size": 2,
             "in_channels": 4,
-            "num_layers": 1,
+            "num_layers": 2,
             "attention_head_dim": 4,
             "num_attention_heads": 2,
             "out_channels": 4,