diff --git a/comfy/model_detection.py b/comfy/model_detection.py
index f3355da5a..0131ca25a 100644
--- a/comfy/model_detection.py
+++ b/comfy/model_detection.py
@@ -190,6 +190,8 @@ def detect_unet_config(state_dict, key_prefix, metadata=None):
         # HunyuanVideo 1.5
         if '{}cond_type_embedding.weight'.format(key_prefix) in state_dict_keys:
             dit_config["use_cond_type_embedding"] = True
+        else:
+            dit_config["use_cond_type_embedding"] = False
         if '{}vision_in.proj.0.weight'.format(key_prefix) in state_dict_keys:
             dit_config["vision_in_dim"] = state_dict['{}vision_in.proj.0.weight'.format(key_prefix)].shape[0]
         else:
diff --git a/comfy/sd.py b/comfy/sd.py
index 1bf5bbc0a..6d5822e54 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -453,8 +453,8 @@ class VAE:
                                                             encoder_config={'target': "comfy.ldm.hunyuan_video.vae_refiner.Encoder", 'params': ddconfig},
                                                             decoder_config={'target': "comfy.ldm.hunyuan_video.vae_refiner.Decoder", 'params': ddconfig})
 
-                self.memory_used_encode = lambda shape, dtype: (1400 * shape[-2] * shape[-1]) * model_management.dtype_size(dtype)
-                self.memory_used_decode = lambda shape, dtype: (1400 * shape[-3] * shape[-2] * shape[-1] * 16 * 16) * model_management.dtype_size(dtype)
+                self.memory_used_encode = lambda shape, dtype: (1400 * shape[-3] * shape[-2] * shape[-1]) * model_management.dtype_size(dtype)
+                self.memory_used_decode = lambda shape, dtype: (2800 * 4 * shape[-2] * shape[-1] * 16 * 16) * model_management.dtype_size(dtype)
             elif "decoder.conv_in.conv.weight" in sd:
                 ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0}
                 ddconfig["conv3d"] = True
diff --git a/comfy_extras/nodes_hunyuan.py b/comfy_extras/nodes_hunyuan.py
index d405cc81a..ad4b89225 100644
--- a/comfy_extras/nodes_hunyuan.py
+++ b/comfy_extras/nodes_hunyuan.py
@@ -123,8 +123,6 @@ class HunyuanVideo15ImageToVideo(io.ComfyNode):
         out_latent["samples"] = latent
         return io.NodeOutput(positive, negative, out_latent)
 
-    encode = execute  # TODO: remove
-
 
 class HunyuanVideo15RefinerLatent(io.ComfyNode):
     @classmethod
@@ -213,8 +211,6 @@ class LatentUpscaleModelLoader(io.ComfyNode):
 
         return io.NodeOutput(model)
 
-    load_model = execute  # TODO: remove
-
 
 class HunyuanVideo15LatentUpscaleWithModel(io.ComfyNode):
     @classmethod
@@ -254,8 +250,6 @@ class HunyuanVideo15LatentUpscaleWithModel(io.ComfyNode):
             s = model.resample_latent(s)
             return io.NodeOutput({"samples": s.cpu().float()})
 
-    upscale = execute  # TODO: remove
-
 
 PROMPT_TEMPLATE_ENCODE_VIDEO_I2V = (
     "<|start_header_id|>system<|end_header_id|>\n\n<image>\nDescribe the video by detailing the following aspects according to the reference image: "