comfy/k_diffusion/sampling.py

@@ -1776,7 +1776,7 @@ def sample_sa_solver(model, x, sigmas, extra_args=None, callback=None, disable=F
         # Predictor
         if sigmas[i + 1] == 0:
             # Denoising step
-            x_pred = denoised
+            x = denoised
         else:
             tau_t = tau_func(sigmas[i + 1])
             curr_lambdas = lambdas[i - predictor_order_used + 1:i + 1]
@@ -1797,7 +1797,7 @@ def sample_sa_solver(model, x, sigmas, extra_args=None, callback=None, disable=F
             if tau_t > 0 and s_noise > 0:
                 noise = noise_sampler(sigmas[i], sigmas[i + 1]) * sigmas[i + 1] * (-2 * tau_t ** 2 * h).expm1().neg().sqrt() * s_noise
                 x_pred = x_pred + noise
-    return x_pred
+    return x
 
 
 @torch.no_grad()

comfy_api/latest/_io.py

@@ -1556,12 +1556,12 @@ class _ComfyNodeBaseInternal(_ComfyNodeInternal):
 
     @final
     @classmethod
-    def PREPARE_CLASS_CLONE(cls, v3_data: V3Data | None) -> type[ComfyNode]:
+    def PREPARE_CLASS_CLONE(cls, v3_data: V3Data) -> type[ComfyNode]:
         """Creates clone of real node class to prevent monkey-patching."""
         c_type: type[ComfyNode] = cls if is_class(cls) else type(cls)
         type_clone: type[ComfyNode] = shallow_clone_class(c_type)
         # set hidden
-        type_clone.hidden = HiddenHolder.from_dict(v3_data["hidden_inputs"] if v3_data else None)
+        type_clone.hidden = HiddenHolder.from_dict(v3_data["hidden_inputs"])
         return type_clone
 
     @final

comfyui_version.py

@@ -1,3 +1,3 @@
 # This file is automatically generated by the build process when version is
 # updated in pyproject.toml.
-__version__ = "0.5.1"
+__version__ = "0.5.0"

main.py

@@ -23,38 +23,6 @@ if __name__ == "__main__":
 
 setup_logger(log_level=args.verbose, use_stdout=args.log_stdout)
 
-if os.name == "nt":
-    os.environ['MIMALLOC_PURGE_DELAY'] = '0'
-
-if __name__ == "__main__":
-    os.environ['TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL'] = '1'
-    if args.default_device is not None:
-        default_dev = args.default_device
-        devices = list(range(32))
-        devices.remove(default_dev)
-        devices.insert(0, default_dev)
-        devices = ','.join(map(str, devices))
-        os.environ['CUDA_VISIBLE_DEVICES'] = str(devices)
-        os.environ['HIP_VISIBLE_DEVICES'] = str(devices)
-
-    if args.cuda_device is not None:
-        os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device)
-        os.environ['HIP_VISIBLE_DEVICES'] = str(args.cuda_device)
-        os.environ["ASCEND_RT_VISIBLE_DEVICES"] = str(args.cuda_device)
-        logging.info("Set cuda device to: {}".format(args.cuda_device))
-
-    if args.oneapi_device_selector is not None:
-        os.environ['ONEAPI_DEVICE_SELECTOR'] = args.oneapi_device_selector
-        logging.info("Set oneapi device selector to: {}".format(args.oneapi_device_selector))
-
-    if args.deterministic:
-        if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ:
-            os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8"
-
-    import cuda_malloc
-    if "rocm" in cuda_malloc.get_torch_version_noimport():
-        os.environ['OCL_SET_SVM_SIZE'] = '262144'  # set at the request of AMD
-
 
 def handle_comfyui_manager_unavailable():
     if not args.windows_standalone_build:
@@ -169,6 +137,40 @@ import shutil
 import threading
 import gc
 
+
+if os.name == "nt":
+    os.environ['MIMALLOC_PURGE_DELAY'] = '0'
+
+if __name__ == "__main__":
+    os.environ['TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL'] = '1'
+    if args.default_device is not None:
+        default_dev = args.default_device
+        devices = list(range(32))
+        devices.remove(default_dev)
+        devices.insert(0, default_dev)
+        devices = ','.join(map(str, devices))
+        os.environ['CUDA_VISIBLE_DEVICES'] = str(devices)
+        os.environ['HIP_VISIBLE_DEVICES'] = str(devices)
+
+    if args.cuda_device is not None:
+        os.environ['CUDA_VISIBLE_DEVICES'] = str(args.cuda_device)
+        os.environ['HIP_VISIBLE_DEVICES'] = str(args.cuda_device)
+        os.environ["ASCEND_RT_VISIBLE_DEVICES"] = str(args.cuda_device)
+        logging.info("Set cuda device to: {}".format(args.cuda_device))
+
+    if args.oneapi_device_selector is not None:
+        os.environ['ONEAPI_DEVICE_SELECTOR'] = args.oneapi_device_selector
+        logging.info("Set oneapi device selector to: {}".format(args.oneapi_device_selector))
+
+    if args.deterministic:
+        if 'CUBLAS_WORKSPACE_CONFIG' not in os.environ:
+            os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8"
+
+    import cuda_malloc
+    if "rocm" in cuda_malloc.get_torch_version_noimport():
+        os.environ['OCL_SET_SVM_SIZE'] = '262144'  # set at the request of AMD
+
+
 if 'torch' in sys.modules:
     logging.warning("WARNING: Potential Error in code: Torch already imported, torch should never be imported before this point.")
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ComfyUI"
-version = "0.5.1"
+version = "0.5.0"
 readme = "README.md"
 license = { file = "LICENSE" }
 requires-python = ">=3.9"