fix model upscaler, fix list iteration linting issue, fix samplers

comfy/model_management_types.py

@@ -138,7 +138,6 @@ class ModelManageable(Protocol, metaclass=ABCMeta):
     def force_cast_weights(self) -> bool:
         return False
 
-    @abstractmethod
     def prepare_hook_patches_current_keyframe(self, t, hook_group, model_options):
         pass
 

comfy/nodes/comfyui_v3_package_imports.py

@@ -24,7 +24,7 @@ def _comfy_entrypoint_upstream_v3_imports(module) -> ExportedNodes:
             if not isinstance(extension, ComfyExtension):
                 logger.debug(f"comfy_entrypoint in {module} did not return a ComfyExtension, skipping.")
             else:
-                node_list = AsyncToSyncConverter.run_async_in_thread(extension.get_node_list)
+                node_list: list = list(AsyncToSyncConverter.run_async_in_thread(extension.get_node_list))
                 if not isinstance(node_list, list):
                     logger.debug(f"comfy_entrypoint in {module} did not return a list of nodes, skipping.")
                 else:

comfy/samplers.py

@@ -25,6 +25,7 @@ from .model_patcher import ModelPatcher
 from .sampler_names import SCHEDULER_NAMES, SAMPLER_NAMES
 from .context_windows import ContextHandlerABC
 from .utils import common_upscale
+from .patcher_extension import WrapperExecutor, get_all_wrappers, WrappersMP
 
 logger = logging.getLogger(__name__)
 
@@ -998,10 +999,10 @@ class CFGGuider:
         return self.outer_predict_noise(*args, **kwargs)
 
     def outer_predict_noise(self, x, timestep, model_options={}, seed=None):
-        return comfy.patcher_extension.WrapperExecutor.new_class_executor(
+        return WrapperExecutor.new_class_executor(
             self.predict_noise,
             self,
-            comfy.patcher_extension.get_all_wrappers(comfy.patcher_extension.WrappersMP.PREDICT_NOISE, self.model_options, is_model_options=True)
+            get_all_wrappers(WrappersMP.PREDICT_NOISE, self.model_options, is_model_options=True)
         ).execute(x, timestep, model_options, seed)
 
     def predict_noise(self, x, timestep, model_options={}, seed=None):

comfy_api/latest/_ui.py

@@ -11,7 +11,7 @@ import av
 import numpy as np
 import torch
 try:
-    import torchaudio
+    import torchaudio  # pylint: disable=import-error
     TORCH_AUDIO_AVAILABLE = True
 except:
     TORCH_AUDIO_AVAILABLE = False