Spaces:
Running
on
Zero
Running
on
Zero
File size: 4,549 Bytes
4450790 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 |
def is_link(obj):
if not isinstance(obj, list):
return False
if len(obj) != 2:
return False
if not isinstance(obj[0], str):
return False
if not isinstance(obj[1], int) and not isinstance(obj[1], float):
return False
return True
# The GraphBuilder is just a utility class that outputs graphs in the form expected by the ComfyUI back-end
class GraphBuilder:
_default_prefix_root = ""
_default_prefix_call_index = 0
_default_prefix_graph_index = 0
def __init__(self, prefix = None):
if prefix is None:
self.prefix = GraphBuilder.alloc_prefix()
else:
self.prefix = prefix
self.nodes = {}
self.id_gen = 1
@classmethod
def set_default_prefix(cls, prefix_root, call_index, graph_index = 0):
cls._default_prefix_root = prefix_root
cls._default_prefix_call_index = call_index
cls._default_prefix_graph_index = graph_index
@classmethod
def alloc_prefix(cls, root=None, call_index=None, graph_index=None):
if root is None:
root = GraphBuilder._default_prefix_root
if call_index is None:
call_index = GraphBuilder._default_prefix_call_index
if graph_index is None:
graph_index = GraphBuilder._default_prefix_graph_index
result = f"{root}.{call_index}.{graph_index}."
GraphBuilder._default_prefix_graph_index += 1
return result
def node(self, class_type, id=None, **kwargs):
if id is None:
id = str(self.id_gen)
self.id_gen += 1
id = self.prefix + id
if id in self.nodes:
return self.nodes[id]
node = Node(id, class_type, kwargs)
self.nodes[id] = node
return node
def lookup_node(self, id):
id = self.prefix + id
return self.nodes.get(id)
def finalize(self):
output = {}
for node_id, node in self.nodes.items():
output[node_id] = node.serialize()
return output
def replace_node_output(self, node_id, index, new_value):
node_id = self.prefix + node_id
to_remove = []
for node in self.nodes.values():
for key, value in node.inputs.items():
if is_link(value) and value[0] == node_id and value[1] == index:
if new_value is None:
to_remove.append((node, key))
else:
node.inputs[key] = new_value
for node, key in to_remove:
del node.inputs[key]
def remove_node(self, id):
id = self.prefix + id
del self.nodes[id]
class Node:
def __init__(self, id, class_type, inputs):
self.id = id
self.class_type = class_type
self.inputs = inputs
self.override_display_id = None
def out(self, index):
return [self.id, index]
def set_input(self, key, value):
if value is None:
if key in self.inputs:
del self.inputs[key]
else:
self.inputs[key] = value
def get_input(self, key):
return self.inputs.get(key)
def set_override_display_id(self, override_display_id):
self.override_display_id = override_display_id
def serialize(self):
serialized = {
"class_type": self.class_type,
"inputs": self.inputs
}
if self.override_display_id is not None:
serialized["override_display_id"] = self.override_display_id
return serialized
def add_graph_prefix(graph, outputs, prefix):
# Change the node IDs and any internal links
new_graph = {}
for node_id, node_info in graph.items():
# Make sure the added nodes have unique IDs
new_node_id = prefix + node_id
new_node = { "class_type": node_info["class_type"], "inputs": {} }
for input_name, input_value in node_info.get("inputs", {}).items():
if is_link(input_value):
new_node["inputs"][input_name] = [prefix + input_value[0], input_value[1]]
else:
new_node["inputs"][input_name] = input_value
new_graph[new_node_id] = new_node
# Change the node IDs in the outputs
new_outputs = []
for n in range(len(outputs)):
output = outputs[n]
if is_link(output):
new_outputs.append([prefix + output[0], output[1]])
else:
new_outputs.append(output)
return new_graph, tuple(new_outputs)
|