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https://github.com/comfyanonymous/ComfyUI.git
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While implementing caching for components, I did some cleanup. Despite the fact that subgraph caching is put on hold for now (in favor of a larger cache refactor later), these are the changes that I think are worth keeping anyway. * Makes subgraph node IDs deterministic * Allows usage of the topological sort without execution * Tracks parent nodes (i.e. those that caused a node to be created) and display nodes (i.e. the one we want to highlight while an ephemeral node is executing) separately.
149 lines
4.7 KiB
Python
149 lines
4.7 KiB
Python
import json
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import random
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def is_link(obj):
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if not isinstance(obj, list):
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return False
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if len(obj) != 2:
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return False
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if not isinstance(obj[0], str):
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return False
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if not isinstance(obj[1], int) and not isinstance(obj[1], float):
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return False
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return True
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# The GraphBuilder is just a utility class that outputs graphs in the form expected by the ComfyUI back-end
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class GraphBuilder:
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_default_prefix_root = ""
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_default_prefix_call_index = 0
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_default_prefix_graph_index = 0
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def __init__(self, prefix = None):
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if prefix is None:
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self.prefix = GraphBuilder.alloc_prefix()
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else:
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self.prefix = prefix
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self.nodes = {}
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self.id_gen = 1
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@classmethod
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def set_default_prefix(cls, prefix_root, call_index, graph_index = 0):
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cls._default_prefix_root = prefix_root
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cls._default_prefix_call_index = call_index
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if graph_index is not None:
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cls._default_prefix_graph_index = graph_index
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@classmethod
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def alloc_prefix(cls, root=None, call_index=None, graph_index=None):
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if root is None:
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root = GraphBuilder._default_prefix_root
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if call_index is None:
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call_index = GraphBuilder._default_prefix_call_index
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if graph_index is None:
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graph_index = GraphBuilder._default_prefix_graph_index
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result = "%s.%d.%d." % (root, call_index, graph_index)
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GraphBuilder._default_prefix_graph_index += 1
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return result
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def node(self, class_type, id=None, **kwargs):
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if id is None:
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id = str(self.id_gen)
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self.id_gen += 1
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id = self.prefix + id
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if id in self.nodes:
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return self.nodes[id]
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node = Node(id, class_type, kwargs)
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self.nodes[id] = node
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return node
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def lookup_node(self, id):
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id = self.prefix + id
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return self.nodes.get(id)
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def finalize(self):
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output = {}
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for node_id, node in self.nodes.items():
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output[node_id] = node.serialize()
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return output
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def replace_node_output(self, node_id, index, new_value):
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node_id = self.prefix + node_id
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to_remove = []
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for node in self.nodes.values():
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for key, value in node.inputs.items():
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if is_link(value) and value[0] == node_id and value[1] == index:
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if new_value is None:
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to_remove.append((node, key))
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else:
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node.inputs[key] = new_value
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for node, key in to_remove:
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del node.inputs[key]
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def remove_node(self, id):
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id = self.prefix + id
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del self.nodes[id]
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# Return this from a node and any users will be blocked with the given error message.
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class ExecutionBlocker:
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def __init__(self, message):
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self.message = message
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class Node:
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def __init__(self, id, class_type, inputs):
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self.id = id
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self.class_type = class_type
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self.inputs = inputs
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self.override_display_id = None
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def out(self, index):
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return [self.id, index]
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def set_input(self, key, value):
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if value is None:
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if key in self.inputs:
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del self.inputs[key]
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else:
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self.inputs[key] = value
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def get_input(self, key):
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return self.inputs.get(key)
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def set_override_display_id(self, override_display_id):
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self.override_display_id = override_display_id
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def serialize(self):
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serialized = {
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"class_type": self.class_type,
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"inputs": self.inputs
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}
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if self.override_display_id is not None:
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serialized["override_display_id"] = self.override_display_id
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return serialized
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def add_graph_prefix(graph, outputs, prefix):
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# Change the node IDs and any internal links
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new_graph = {}
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for node_id, node_info in graph.items():
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# Make sure the added nodes have unique IDs
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new_node_id = prefix + node_id
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new_node = { "class_type": node_info["class_type"], "inputs": {} }
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for input_name, input_value in node_info.get("inputs", {}).items():
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if is_link(input_value):
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new_node["inputs"][input_name] = [prefix + input_value[0], input_value[1]]
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else:
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new_node["inputs"][input_name] = input_value
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new_graph[new_node_id] = new_node
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# Change the node IDs in the outputs
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new_outputs = []
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for n in range(len(outputs)):
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output = outputs[n]
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if is_link(output):
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new_outputs.append([prefix + output[0], output[1]])
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else:
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new_outputs.append(output)
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return new_graph, tuple(new_outputs)
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