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Deluxe233 2026-03-11 06:49:08 +00:00 committed by GitHub
commit 530a1fcbd4
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3 changed files with 126 additions and 19 deletions

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@ -410,6 +410,35 @@ def format_value(x):
else:
return str(x)
def resolve_subgraph_outputs(subgraph_results, unique_id, output_is_list, execution_list):
resolved_outputs = []
for is_subgraph, result in subgraph_results:
if not is_subgraph:
resolved_outputs.append(result)
else:
resolved_output = []
for i, _result in enumerate(result):
if not output_is_list[i]:
if is_link(_result):
source_node, source_output = _result[0], _result[1]
node_cached = execution_list.get_cache(source_node, unique_id)
if node_cached.outputs[source_output]:
resolved_output.append(node_cached.outputs[source_output][0])
else:
resolved_output.append(_result)
else:
_resolved = []
for output in _result:
if is_link(output):
source_node, source_output = output[0], output[1]
node_cached = execution_list.get_cache(source_node, unique_id)
_resolved.extend(node_cached.outputs[source_output])
else:
_resolved.append(output)
resolved_output.append(_resolved)
resolved_outputs.append(tuple(resolved_output))
return resolved_outputs
async def execute(server, dynprompt, caches, current_item, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes, ui_outputs):
unique_id = current_item
real_node_id = dynprompt.get_real_node_id(unique_id)
@ -418,6 +447,9 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
inputs = dynprompt.get_node(unique_id)['inputs']
class_type = dynprompt.get_node(unique_id)['class_type']
class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
output_is_list = [False] * len(class_def.RETURN_TYPES)
if hasattr(class_def, "OUTPUT_IS_LIST"):
output_is_list = class_def.OUTPUT_IS_LIST
cached = caches.outputs.get(unique_id)
if cached is not None:
if server.client_id is not None:
@ -447,22 +479,7 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
output_data, output_ui, has_subgraph = get_output_from_returns(results, class_def)
elif unique_id in pending_subgraph_results:
cached_results = pending_subgraph_results[unique_id]
resolved_outputs = []
for is_subgraph, result in cached_results:
if not is_subgraph:
resolved_outputs.append(result)
else:
resolved_output = []
for r in result:
if is_link(r):
source_node, source_output = r[0], r[1]
node_cached = execution_list.get_cache(source_node, unique_id)
for o in node_cached.outputs[source_output]:
resolved_output.append(o)
else:
resolved_output.append(r)
resolved_outputs.append(tuple(resolved_output))
resolved_outputs = resolve_subgraph_outputs(cached_results, unique_id, output_is_list, execution_list)
output_data = merge_result_data(resolved_outputs, class_def)
output_ui = []
del pending_subgraph_results[unique_id]
@ -570,9 +587,14 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
if hasattr(class_def, 'OUTPUT_NODE') and class_def.OUTPUT_NODE == True:
new_output_ids.append(node_id)
for i in range(len(node_outputs)):
if is_link(node_outputs[i]):
from_node_id, from_socket = node_outputs[i][0], node_outputs[i][1]
new_output_links.append((from_node_id, from_socket))
# Consider a returned list if output_is_list on the parent node
_node_outputs = node_outputs[i]
if not output_is_list[i]:
_node_outputs = [_node_outputs]
for node_output in _node_outputs:
if is_link(node_output):
from_node_id, from_socket = node_output[0], node_output[1]
new_output_links.append((from_node_id, from_socket))
cached_outputs.append((True, node_outputs))
new_node_ids = set(new_node_ids)
for cache in caches.all:

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@ -522,6 +522,38 @@ class TestExecution:
for i in range(3):
assert numpy.array(images_literal[i]).min() == 255 and numpy.array(images_literal[i]).max() == 255, "All images should be white"
# Tests functionality of defining OUTPUT_IS_LIST for expanding nodes.
def test_output_is_list_expansion_results(self, client: ComfyClient, builder: GraphBuilder):
def assert_image_values(images):
if len(images) >= 1:
assert numpy.array(images[0]).min() == 25 and numpy.array(images[0]).max() == 25, "First image should be 0.1"
if len(images) >= 2:
assert numpy.array(images[1]).min() == 51 and numpy.array(images[1]).max() == 51, "Second image should be 0.2"
if len(images) >= 3:
assert numpy.array(images[2]).min() == 76 and numpy.array(images[2]).max() == 76, "Third image should be 0.3"
if len(images) >= 4:
assert numpy.array(images[3]).min() == 102 and numpy.array(images[3]).max() == 102, "Fourth image should be 0.4"
def assert_constant_image(images):
assert len(images) == 1, "Should have 1 image"
assert numpy.array(images[0]).min() == 255 and numpy.array(images[0]).max() == 255, "Image should be white"
g = builder
list_out = g.node("TestListExpansionResult")
output = g.node("SaveImage", images=list_out.out(0))
output_constant = g.node("SaveImage", images=list_out.out(1))
# Run and check results for each new value added as input
for i in range(1, 5):
# value1 = 0.1, value2 = 0.2, etc.
list_out.set_input(f"value{i}", 0.1 * i)
result = client.run(g)
images = result.get_images(output)
assert len(images) == i, f"Should have {i} image(s)"
assert_image_values(images)
images_constant = result.get_images(output_constant)
assert_constant_image(images_constant)
def test_mixed_lazy_results(self, client: ComfyClient, builder: GraphBuilder):
g = builder
val_list = g.node("TestMakeListNode", value1=0.0, value2=0.5, value3=1.0)

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@ -338,6 +338,57 @@ class TestMixedExpansionReturns:
"expand": g.finalize(),
}
class TestListExpansionResult:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"value1": ("FLOAT",),
},
"optional": {
"value2": ("FLOAT",),
"value3": ("FLOAT",),
"value4": ("FLOAT",),
},
}
RETURN_TYPES = ("IMAGE", "IMAGE")
FUNCTION = "result_as_list"
OUTPUT_IS_LIST = (True, False)
CATEGORY = "Testing/Nodes"
def result_as_list(self, **kwargs):
values = []
for i in range(4):
key = f"value{i+1}"
if key in kwargs:
values.append(kwargs[key])
g = GraphBuilder()
white = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
if len(values) >= 4:
list_out = g.node("TestMakeListNode")
for i, value in enumerate(values):
image = g.node("StubConstantImage", value=value, height=512, width=512, batch_size=1)
list_out.set_input(f"value{i+1}", image.out(0))
return {
"result": ([list_out.out(0)], white.out(0)),
"expand": g.finalize(),
}
images_out = []
if len(values) >= 1:
images_out.append(g.node("StubConstantImage", value=values[0], height=512, width=512, batch_size=1).out(0))
if len(values) >= 2:
images_out.append(g.node("StubConstantImage", value=values[1], height=512, width=512, batch_size=1).out(0))
if len(values) >= 3:
images_out.append(torch.ones(1, 512, 512, 3) * values[2])
return {
"result": (images_out, white.out(0)),
"expand": g.finalize(),
}
class TestSamplingInExpansion:
@classmethod
def INPUT_TYPES(cls):
@ -494,6 +545,7 @@ TEST_NODE_CLASS_MAPPINGS = {
"TestCustomValidation5": TestCustomValidation5,
"TestDynamicDependencyCycle": TestDynamicDependencyCycle,
"TestMixedExpansionReturns": TestMixedExpansionReturns,
"TestListExpansionResult": TestListExpansionResult,
"TestSamplingInExpansion": TestSamplingInExpansion,
"TestSleep": TestSleep,
"TestParallelSleep": TestParallelSleep,
@ -512,6 +564,7 @@ TEST_NODE_DISPLAY_NAME_MAPPINGS = {
"TestCustomValidation5": "Custom Validation 5",
"TestDynamicDependencyCycle": "Dynamic Dependency Cycle",
"TestMixedExpansionReturns": "Mixed Expansion Returns",
"TestListExpansionResult": "Output is List Expansion Result",
"TestSamplingInExpansion": "Sampling In Expansion",
"TestSleep": "Test Sleep",
"TestParallelSleep": "Test Parallel Sleep",