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https://github.com/comfyanonymous/ComfyUI.git
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@ -101,6 +101,7 @@ parser.add_argument("--preview-size", type=int, default=512, help="Sets the maxi
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cache_group = parser.add_mutually_exclusive_group()
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cache_group.add_argument("--cache-classic", action="store_true", help="Use the old style (aggressive) caching.")
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cache_group.add_argument("--cache-lru", type=int, default=0, help="Use LRU caching with a maximum of N node results cached. May use more RAM/VRAM.")
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cache_group.add_argument("--cache-none", action="store_true", help="Reduced RAM/VRAM usage at the expense of executing every node for each run.")
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attn_group = parser.add_mutually_exclusive_group()
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attn_group.add_argument("--use-split-cross-attention", action="store_true", help="Use the split cross attention optimization. Ignored when xformers is used.")
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@ -316,3 +316,156 @@ class LRUCache(BasicCache):
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self.children[cache_key].append(self.cache_key_set.get_data_key(child_id))
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return self
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class DependencyAwareCache(BasicCache):
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"""
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A cache implementation that tracks dependencies between nodes and manages
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their execution and caching accordingly. It extends the BasicCache class.
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Nodes are removed from this cache once all of their descendants have been
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executed.
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"""
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def __init__(self, key_class):
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"""
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Initialize the DependencyAwareCache.
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Args:
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key_class: The class used for generating cache keys.
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"""
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super().__init__(key_class)
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self.descendants = {} # Maps node_id -> set of descendant node_ids
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self.ancestors = {} # Maps node_id -> set of ancestor node_ids
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self.executed_nodes = set() # Tracks nodes that have been executed
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def set_prompt(self, dynprompt, node_ids, is_changed_cache):
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"""
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Clear the entire cache and rebuild the dependency graph.
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Args:
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dynprompt: The dynamic prompt object containing node information.
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node_ids: List of node IDs to initialize the cache for.
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is_changed_cache: Flag indicating if the cache has changed.
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"""
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# Clear all existing cache data
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self.cache.clear()
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self.subcaches.clear()
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self.descendants.clear()
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self.ancestors.clear()
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self.executed_nodes.clear()
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# Call the parent method to initialize the cache with the new prompt
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super().set_prompt(dynprompt, node_ids, is_changed_cache)
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# Rebuild the dependency graph
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self._build_dependency_graph(dynprompt, node_ids)
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def _build_dependency_graph(self, dynprompt, node_ids):
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"""
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Build the dependency graph for all nodes.
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Args:
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dynprompt: The dynamic prompt object containing node information.
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node_ids: List of node IDs to build the graph for.
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"""
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self.descendants.clear()
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self.ancestors.clear()
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for node_id in node_ids:
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self.descendants[node_id] = set()
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self.ancestors[node_id] = set()
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for node_id in node_ids:
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inputs = dynprompt.get_node(node_id)["inputs"]
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for input_data in inputs.values():
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if is_link(input_data): # Check if the input is a link to another node
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ancestor_id = input_data[0]
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self.descendants[ancestor_id].add(node_id)
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self.ancestors[node_id].add(ancestor_id)
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def set(self, node_id, value):
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"""
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Mark a node as executed and store its value in the cache.
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Args:
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node_id: The ID of the node to store.
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value: The value to store for the node.
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"""
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self._set_immediate(node_id, value)
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self.executed_nodes.add(node_id)
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self._cleanup_ancestors(node_id)
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def get(self, node_id):
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"""
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Retrieve the cached value for a node.
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Args:
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node_id: The ID of the node to retrieve.
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Returns:
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The cached value for the node.
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"""
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return self._get_immediate(node_id)
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def ensure_subcache_for(self, node_id, children_ids):
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"""
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Ensure a subcache exists for a node and update dependencies.
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Args:
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node_id: The ID of the parent node.
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children_ids: List of child node IDs to associate with the parent node.
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Returns:
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The subcache object for the node.
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"""
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subcache = super()._ensure_subcache(node_id, children_ids)
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for child_id in children_ids:
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self.descendants[node_id].add(child_id)
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self.ancestors[child_id].add(node_id)
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return subcache
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def _cleanup_ancestors(self, node_id):
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"""
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Check if ancestors of a node can be removed from the cache.
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Args:
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node_id: The ID of the node whose ancestors are to be checked.
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"""
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for ancestor_id in self.ancestors.get(node_id, []):
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if ancestor_id in self.executed_nodes:
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# Remove ancestor if all its descendants have been executed
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if all(descendant in self.executed_nodes for descendant in self.descendants[ancestor_id]):
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self._remove_node(ancestor_id)
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def _remove_node(self, node_id):
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"""
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Remove a node from the cache.
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Args:
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node_id: The ID of the node to remove.
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"""
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cache_key = self.cache_key_set.get_data_key(node_id)
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if cache_key in self.cache:
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del self.cache[cache_key]
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subcache_key = self.cache_key_set.get_subcache_key(node_id)
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if subcache_key in self.subcaches:
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del self.subcaches[subcache_key]
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def clean_unused(self):
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"""
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Clean up unused nodes. This is a no-op for this cache implementation.
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"""
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pass
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def recursive_debug_dump(self):
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"""
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Dump the cache and dependency graph for debugging.
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Returns:
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A list containing the cache state and dependency graph.
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"""
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result = super().recursive_debug_dump()
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result.append({
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"descendants": self.descendants,
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"ancestors": self.ancestors,
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"executed_nodes": list(self.executed_nodes),
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})
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return result
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53
execution.py
53
execution.py
@ -15,7 +15,7 @@ import nodes
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import comfy.model_management
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from comfy_execution.graph import get_input_info, ExecutionList, DynamicPrompt, ExecutionBlocker
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from comfy_execution.graph_utils import is_link, GraphBuilder
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from comfy_execution.caching import HierarchicalCache, LRUCache, CacheKeySetInputSignature, CacheKeySetID
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from comfy_execution.caching import HierarchicalCache, LRUCache, DependencyAwareCache, CacheKeySetInputSignature, CacheKeySetID
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from comfy_execution.validation import validate_node_input
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class ExecutionResult(Enum):
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@ -59,20 +59,27 @@ class IsChangedCache:
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self.is_changed[node_id] = node["is_changed"]
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return self.is_changed[node_id]
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class CacheSet:
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def __init__(self, lru_size=None):
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if lru_size is None or lru_size == 0:
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self.init_classic_cache()
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else:
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self.init_lru_cache(lru_size)
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self.all = [self.outputs, self.ui, self.objects]
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# Useful for those with ample RAM/VRAM -- allows experimenting without
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# blowing away the cache every time
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def init_lru_cache(self, cache_size):
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self.outputs = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
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self.ui = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
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self.objects = HierarchicalCache(CacheKeySetID)
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class CacheType(Enum):
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CLASSIC = 0
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LRU = 1
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DEPENDENCY_AWARE = 2
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class CacheSet:
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def __init__(self, cache_type=None, cache_size=None):
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if cache_type == CacheType.DEPENDENCY_AWARE:
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self.init_dependency_aware_cache()
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logging.info("Disabling intermediate node cache.")
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elif cache_type == CacheType.LRU:
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if cache_size is None:
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cache_size = 0
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self.init_lru_cache(cache_size)
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logging.info("Using LRU cache")
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else:
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self.init_classic_cache()
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self.all = [self.outputs, self.ui, self.objects]
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# Performs like the old cache -- dump data ASAP
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def init_classic_cache(self):
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@ -80,6 +87,17 @@ class CacheSet:
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self.ui = HierarchicalCache(CacheKeySetInputSignature)
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self.objects = HierarchicalCache(CacheKeySetID)
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def init_lru_cache(self, cache_size):
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self.outputs = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
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self.ui = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
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self.objects = HierarchicalCache(CacheKeySetID)
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# only hold cached items while the decendents have not executed
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def init_dependency_aware_cache(self):
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self.outputs = DependencyAwareCache(CacheKeySetInputSignature)
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self.ui = DependencyAwareCache(CacheKeySetInputSignature)
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self.objects = DependencyAwareCache(CacheKeySetID)
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def recursive_debug_dump(self):
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result = {
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"outputs": self.outputs.recursive_debug_dump(),
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@ -414,13 +432,14 @@ def execute(server, dynprompt, caches, current_item, extra_data, executed, promp
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return (ExecutionResult.SUCCESS, None, None)
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class PromptExecutor:
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def __init__(self, server, lru_size=None):
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self.lru_size = lru_size
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def __init__(self, server, cache_type=False, cache_size=None):
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self.cache_size = cache_size
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self.cache_type = cache_type
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self.server = server
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self.reset()
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def reset(self):
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self.caches = CacheSet(self.lru_size)
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self.caches = CacheSet(cache_type=self.cache_type, cache_size=self.cache_size)
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self.status_messages = []
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self.success = True
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8
main.py
8
main.py
@ -156,7 +156,13 @@ def cuda_malloc_warning():
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def prompt_worker(q, server_instance):
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current_time: float = 0.0
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e = execution.PromptExecutor(server_instance, lru_size=args.cache_lru)
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cache_type = execution.CacheType.CLASSIC
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if args.cache_lru > 0:
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cache_type = execution.CacheType.LRU
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elif args.cache_none:
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cache_type = execution.CacheType.DEPENDENCY_AWARE
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e = execution.PromptExecutor(server_instance, cache_type=cache_type, cache_size=args.cache_lru)
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last_gc_collect = 0
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need_gc = False
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gc_collect_interval = 10.0
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@ -1,4 +1,4 @@
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comfyui-frontend-package==1.14.6
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comfyui-frontend-package==1.15.13
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torch
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torchsde
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torchvision
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40
server.py
40
server.py
@ -48,7 +48,7 @@ async def send_socket_catch_exception(function, message):
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@web.middleware
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async def cache_control(request: web.Request, handler):
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response: web.Response = await handler(request)
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if request.path.endswith('.js') or request.path.endswith('.css'):
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if request.path.endswith('.js') or request.path.endswith('.css') or request.path.endswith('index.json'):
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response.headers.setdefault('Cache-Control', 'no-cache')
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return response
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@ -554,32 +554,27 @@ class PromptServer():
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def node_info(node_class):
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obj_class = nodes.NODE_CLASS_MAPPINGS[node_class]
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info = {}
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info['input'] = obj_class.INPUT_TYPES()
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info['input_order'] = {key: list(value.keys()) for (key, value) in obj_class.INPUT_TYPES().items()}
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info['output'] = obj_class.RETURN_TYPES
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info['output_is_list'] = obj_class.OUTPUT_IS_LIST if hasattr(obj_class, 'OUTPUT_IS_LIST') else [False] * len(obj_class.RETURN_TYPES)
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info['output_name'] = obj_class.RETURN_NAMES if hasattr(obj_class, 'RETURN_NAMES') else info['output']
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info['name'] = node_class
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info['display_name'] = nodes.NODE_DISPLAY_NAME_MAPPINGS[node_class] if node_class in nodes.NODE_DISPLAY_NAME_MAPPINGS.keys() else node_class
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info['description'] = obj_class.DESCRIPTION if hasattr(obj_class,'DESCRIPTION') else ''
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info['python_module'] = getattr(obj_class, "RELATIVE_PYTHON_MODULE", "nodes")
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info['category'] = 'sd'
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if hasattr(obj_class, 'OUTPUT_NODE') and obj_class.OUTPUT_NODE == True:
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info['output_node'] = True
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else:
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info['output_node'] = False
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input_types = obj_class.INPUT_TYPES()
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if hasattr(obj_class, 'CATEGORY'):
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info['category'] = obj_class.CATEGORY
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info = {
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'input': input_types,
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'input_order': {key: list(value.keys()) for key, value in input_types.items()},
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'output': obj_class.RETURN_TYPES,
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'output_is_list': getattr(obj_class, 'OUTPUT_IS_LIST', [False] * len(obj_class.RETURN_TYPES)),
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'output_name': getattr(obj_class, 'RETURN_NAMES', obj_class.RETURN_TYPES),
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'name': node_class,
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'display_name': nodes.NODE_DISPLAY_NAME_MAPPINGS.get(node_class, node_class),
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'description': getattr(obj_class, 'DESCRIPTION', ''),
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'python_module': getattr(obj_class, "RELATIVE_PYTHON_MODULE", "nodes"),
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'category': getattr(obj_class, 'CATEGORY', 'sd'),
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'output_node': hasattr(obj_class, 'OUTPUT_NODE') and obj_class.OUTPUT_NODE,
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'deprecated': getattr(obj_class, "DEPRECATED", False),
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'experimental': getattr(obj_class, "EXPERIMENTAL", False)
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}
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if hasattr(obj_class, 'OUTPUT_TOOLTIPS'):
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info['output_tooltips'] = obj_class.OUTPUT_TOOLTIPS
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if getattr(obj_class, "DEPRECATED", False):
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info['deprecated'] = True
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if getattr(obj_class, "EXPERIMENTAL", False):
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info['experimental'] = True
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return info
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@routes.get("/object_info")
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@ -592,6 +587,7 @@ class PromptServer():
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except Exception:
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logging.error(f"[ERROR] An error occurred while retrieving information for the '{x}' node.")
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logging.error(traceback.format_exc())
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return web.json_response(out)
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@routes.get("/object_info/{node_class}")
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Reference in New Issue
Block a user