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d974ab21e1
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@ -4,6 +4,8 @@ from folder_paths import folder_names_and_paths, get_directory_by_type
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from api_server.services.terminal_service import TerminalService
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import app.logger
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import os
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from utils.extra_config import load_server_config
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class InternalRoutes:
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'''
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@ -17,6 +19,7 @@ class InternalRoutes:
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self._app: Optional[web.Application] = None
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self.prompt_server = prompt_server
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self.terminal_service = TerminalService(prompt_server)
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self.config = load_server_config('internal')
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def setup_routes(self):
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@self.routes.get('/logs')
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@ -43,7 +46,6 @@ class InternalRoutes:
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return web.Response(status=200)
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@self.routes.get('/folder_paths')
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async def get_folder_paths(request):
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response = {}
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@ -64,6 +66,10 @@ class InternalRoutes:
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)
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return web.json_response([entry.name for entry in sorted_files], status=200)
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@self.routes.get('/models_download/config')
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async def get_models_download_config(request):
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response = self.config.get('modelsDownload', {})
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return web.json_response(response)
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def get_app(self):
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if self._app is None:
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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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@ -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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@ -3,6 +3,28 @@ import yaml
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import folder_paths
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import logging
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from .json_util import merge_json_recursive
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default_server_config = {
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'internal': {
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'modelsDownload': {
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'allowedSources': [
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'https://civitai.com/',
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'https://huggingface.co/'
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],
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'allowedSuffixes': [
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'.safetensors',
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'.sft'
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],
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'whitelistedUrls': [
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'https://huggingface.co/stabilityai/stable-zero123/resolve/main/stable_zero123.ckpt',
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'https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth?download=true',
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'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth'
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]
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}
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}
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}
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def load_extra_path_config(yaml_path):
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with open(yaml_path, 'r', encoding='utf-8') as stream:
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config = yaml.safe_load(stream)
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@ -32,3 +54,24 @@ def load_extra_path_config(yaml_path):
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normalized_path = os.path.normpath(full_path)
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logging.info("Adding extra search path {} {}".format(x, normalized_path))
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folder_paths.add_model_folder_path(x, normalized_path, is_default)
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def load_server_config(component=None):
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"""
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Load and returns the server configuration.
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ensure default configuration is present
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if a component is specified returns this sub configuration
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Warning: Current merge_json_recursive concatenate arrays and so there is no way to remove default allowed sources for instance
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"""
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config_path = 'config.yaml'
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config = dict()
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try:
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with open(config_path, 'r', encoding='utf-8') as stream:
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config = yaml.safe_load(stream)
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except FileNotFoundError:
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pass # Default config could be empty
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config = merge_json_recursive(default_server_config, config)
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if component is not None:
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return config.get(component)
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return config
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