[Fix] fix vace bug (#242)

* [Fix] fix bug

* Fix bug

* Update run_wan_vace.sh

lightx2v/models/networks/wan/infer/module_io.py

-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from typing import Any, Dict
 
 import torch
@@ -6,7 +6,6 @@ import torch
 
 @dataclass
 class WanPreInferModuleOutput:
-    # wan base model
     embed: torch.Tensor
     grid_sizes: torch.Tensor
     x: torch.Tensor
@@ -14,6 +13,4 @@ class WanPreInferModuleOutput:
     seq_lens: torch.Tensor
     freqs: torch.Tensor
     context: torch.Tensor
-
-    # wan adapter model
-    adapter_output: Dict[str, Any] = None
+    adapter_output: Dict[str, Any] = field(default_factory=dict)

lightx2v/models/runners/wan/wan_vace_runner.py

@@ -153,7 +153,7 @@ class WanVaceRunner(WanRunner):
         self.config.target_shape = target_shape
 
     @ProfilingContext("Run VAE Decoder")
-    def _run_vae_decoder_local(self, latents, generator):
+    def run_vae_decoder(self, latents, generator):
         if self.config.get("lazy_load", False) or self.config.get("unload_modules", False):
             self.vae_decoder = self.load_vae_decoder()