Merge branch 'master' into feat/api-nodes/api-client-v2

comfy/ops.py

@@ -52,6 +52,16 @@ try:
 except (ModuleNotFoundError, TypeError):
     logging.warning("Could not set sdpa backend priority.")
 
+NVIDIA_MEMORY_CONV_BUG_WORKAROUND = False
+try:
+    if comfy.model_management.is_nvidia():
+        if torch.backends.cudnn.version() >= 91200 and comfy.model_management.torch_version_numeric >= (2, 9) and comfy.model_management.torch_version_numeric <= (2, 10):
+            #TODO: change upper bound version once it's fixed'
+            NVIDIA_MEMORY_CONV_BUG_WORKAROUND = True
+            logging.info("working around nvidia conv3d memory bug.")
+except:
+    pass
+
 cast_to = comfy.model_management.cast_to #TODO: remove once no more references
 
 if torch.cuda.is_available() and torch.backends.cudnn.is_available() and PerformanceFeature.AutoTune in args.fast:
@@ -151,6 +161,15 @@ class disable_weight_init:
         def reset_parameters(self):
             return None
 
+        def _conv_forward(self, input, weight, bias, *args, **kwargs):
+            if NVIDIA_MEMORY_CONV_BUG_WORKAROUND and weight.dtype in (torch.float16, torch.bfloat16):
+                out = torch.cudnn_convolution(input, weight, self.padding, self.stride, self.dilation, self.groups, benchmark=False, deterministic=False, allow_tf32=True)
+                if bias is not None:
+                    out += bias.reshape((1, -1) + (1,) * (out.ndim - 2))
+                return out
+            else:
+                return super()._conv_forward(input, weight, bias, *args, **kwargs)
+
         def forward_comfy_cast_weights(self, input):
             weight, bias = cast_bias_weight(self, input)
             return self._conv_forward(input, weight, bias)

comfy_api_nodes/nodes_veo2.py

@@ -390,7 +390,9 @@ class Veo3VideoGenerationNode(VeoVideoGenerationNode):
                 ),
                 IO.Combo.Input(
                     "model",
-                    options=list(MODELS_MAP.keys()),
+                    options=[
+                        "veo-3.1-generate", "veo-3.1-fast-generate", "veo-3.0-generate-001", "veo-3.0-fast-generate-001"
+                    ],
                     default="veo-3.0-generate-001",
                     tooltip="Veo 3 model to use for video generation",
                     optional=True,

comfy_extras/nodes_easycache.py

@@ -244,6 +244,8 @@ class EasyCacheHolder:
             self.total_steps_skipped += 1
         batch_offset = x.shape[0] // len(uuids)
         for i, uuid in enumerate(uuids):
+            # slice out only what is relevant to this cond
+            batch_slice = [slice(i*batch_offset,(i+1)*batch_offset)]
             # if cached dims don't match x dims, cut off excess and hope for the best (cosmos world2video)
             if x.shape[1:] != self.uuid_cache_diffs[uuid].shape[1:]:
                 if not self.allow_mismatch:
@@ -261,9 +263,8 @@ class EasyCacheHolder:
                             slicing.append(slice(None, dim_u))
                     else:
                         slicing.append(slice(None))
-                slicing = [slice(i*batch_offset,(i+1)*batch_offset)] + slicing
+                batch_slice = batch_slice + slicing
-                x = x[slicing]
+            x[batch_slice] += self.uuid_cache_diffs[uuid].to(x.device)
-            x += self.uuid_cache_diffs[uuid].to(x.device)
         return x
 
     def update_cache_diff(self, output: torch.Tensor, x: torch.Tensor, uuids: list[UUID]):

server.py

@@ -48,6 +48,28 @@ async def send_socket_catch_exception(function, message):
     except (aiohttp.ClientError, aiohttp.ClientPayloadError, ConnectionResetError, BrokenPipeError, ConnectionError) as err:
         logging.warning("send error: {}".format(err))
 
+# Track deprecated paths that have been warned about to only warn once per file
+_deprecated_paths_warned = set()
+
+@web.middleware
+async def deprecation_warning(request: web.Request, handler):
+    """Middleware to warn about deprecated frontend API paths"""
+    path = request.path
+
+    if (path.startswith('/scripts/') or path.startswith('/extensions/core/')):
+        # Only warn once per unique file path
+        if path not in _deprecated_paths_warned:
+            _deprecated_paths_warned.add(path)
+            logging.warning(
+                f"[DEPRECATION WARNING] Detected import of deprecated legacy API: {path}. "
+                f"This is likely caused by a custom node extension using outdated APIs. "
+                f"Please update your extensions or contact the extension author for an updated version."
+            )
+
+    response: web.Response = await handler(request)
+    return response
+
+
 @web.middleware
 async def compress_body(request: web.Request, handler):
     accept_encoding = request.headers.get("Accept-Encoding", "")
@@ -159,7 +181,7 @@ class PromptServer():
         self.client_session:Optional[aiohttp.ClientSession] = None
         self.number = 0
 
-        middlewares = [cache_control]
+        middlewares = [cache_control, deprecation_warning]
         if args.enable_compress_response_body:
             middlewares.append(compress_body)