Add a node to block merge auraflow models.

comfy_extras/nodes_model_merging_model_specific.py

@@ -75,6 +75,34 @@ def INPUT_TYPES(s):
 
         return {"required": arg_dict}
 
+
+class ModelMergeAuraflow(comfy_extras.nodes_model_merging.ModelMergeBlocks):
+    CATEGORY = "advanced/model_merging/model_specific"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        arg_dict = { "model1": ("MODEL",),
+                              "model2": ("MODEL",)}
+
+        argument = ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01})
+
+        arg_dict["init_x_linear."] = argument
+        arg_dict["positional_encoding"] = argument
+        arg_dict["cond_seq_linear."] = argument
+        arg_dict["register_tokens"] = argument
+        arg_dict["t_embedder."] = argument
+
+        for i in range(4):
+            arg_dict["double_layers.{}.".format(i)] = argument
+
+        for i in range(32):
+            arg_dict["single_layers.{}.".format(i)] = argument
+
+        arg_dict["modF."] = argument
+        arg_dict["final_linear."] = argument
+
+        return {"required": arg_dict}
+
 class ModelMergeFlux1(comfy_extras.nodes_model_merging.ModelMergeBlocks):
     CATEGORY = "advanced/model_merging/model_specific"
 
@@ -151,6 +179,7 @@ def INPUT_TYPES(s):
     "ModelMergeSD2": ModelMergeSD1, #SD1 and SD2 have the same blocks
     "ModelMergeSDXL": ModelMergeSDXL,
     "ModelMergeSD3_2B": ModelMergeSD3_2B,
+    "ModelMergeAuraflow": ModelMergeAuraflow,
     "ModelMergeFlux1": ModelMergeFlux1,
     "ModelMergeSD35_Large": ModelMergeSD35_Large,
     "ModelMergeMochiPreview": ModelMergeMochiPreview,