valid_inputs = class_def.INPUT_TYPES()

input_data_all = {}

for x in inputs:

input_data = inputs[x]

if isinstance(input_data, list):

input_unique_id = input_data[0]

output_index = input_data[1]

if input_unique_id not in outputs:

return None

obj = outputs[input_unique_id][output_index]

input_data_all[x] = obj

else:

if ("required" in valid_inputs and x in valid_inputs["required"]) or ("optional" in valid_inputs and x in valid_inputs["optional"]):

input_data_all[x] = [input_data]

if "hidden" in valid_inputs:

h = valid_inputs["hidden"]

for x in h:

if h[x] == "PROMPT":

input_data_all[x] = [prompt]

if h[x] == "EXTRA_PNGINFO":

if "extra_pnginfo" in extra_data:

input_data_all[x] = [extra_data['extra_pnginfo']]

if h[x] == "UNIQUE_ID":

input_data_all[x] = [unique_id]

# check if node wants the lists

intput_is_list = False

if hasattr(obj, "INPUT_IS_LIST"):

intput_is_list = obj.INPUT_IS_LIST

max_len_input = max([len(x) for x in input_data_all.values()])

# get a slice of inputs, repeat last input when list isn't long enough

def slice_dict(d, i):

d_new = dict()

for k,v in d.items():

d_new[k] = v[i if len(v) > i else -1]

return d_new

results = []

if intput_is_list:

if allow_interrupt:

nodes.before_node_execution()

results.append(getattr(obj, func)(**input_data_all))

else:

for i in range(max_len_input):

if allow_interrupt:

nodes.before_node_execution()

results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))

results = []

uis = []

return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)

for r in return_values:

if isinstance(r, dict):

if 'ui' in r:

uis.append(r['ui'])

if 'result' in r:

results.append(r['result'])

else:

results.append(r)

output = []

if len(results) > 0:

# check which outputs need concatenating

output_is_list = [False] * len(results[0])

if hasattr(obj, "OUTPUT_IS_LIST"):

output_is_list = obj.OUTPUT_IS_LIST

# merge node execution results

for i, is_list in zip(range(len(results[0])), output_is_list):

if is_list:

output.append([x for o in results for x in o[i]])

else:

output.append([o[i] for o in results])

ui = dict()

if len(uis) > 0:

ui = {k: [y for x in uis for y in x[k]] for k in uis[0].keys()}

if x is None:

return None

elif isinstance(x, (int, float, bool, str)):

return x

else:

unique_id = current_item

inputs = prompt[unique_id]['inputs']

class_type = prompt[unique_id]['class_type']

class_def = nodes.NODE_CLASS_MAPPINGS[class_type]

if unique_id in outputs:

return (True, None, None)

for x in inputs:

input_data = inputs[x]

if isinstance(input_data, list):

input_unique_id = input_data[0]

output_index = input_data[1]

if input_unique_id not in outputs:

result = recursive_execute(server, prompt, outputs, input_unique_id, extra_data, executed, prompt_id, outputs_ui, object_storage)

if result[0] is not True:

# Another node failed further upstream

return result

input_data_all = None

try:

input_data_all = get_input_data(inputs, class_def, unique_id, outputs, prompt, extra_data)

if server.client_id is not None:

server.last_node_id = unique_id

server.send_sync("executing", { "node": unique_id, "prompt_id": prompt_id }, server.client_id)

obj = object_storage.get((unique_id, class_type), None)

if obj is None:

obj = class_def()

object_storage[(unique_id, class_type)] = obj

output_data, output_ui = get_output_data(obj, input_data_all)

outputs[unique_id] = output_data

if len(output_ui) > 0:

outputs_ui[unique_id] = output_ui

if server.client_id is not None:

server.send_sync("executed", { "node": unique_id, "output": output_ui, "prompt_id": prompt_id }, server.client_id)

except comfy.model_management.InterruptProcessingException as iex:

print("Processing interrupted")

# skip formatting inputs/outputs

error_details = {

"node_id": unique_id,

}

return (False, error_details, iex)

except Exception as ex:

typ, _, tb = sys.exc_info()

exception_type = full_type_name(typ)

input_data_formatted = {}

if input_data_all is not None:

input_data_formatted = {}

for name, inputs in input_data_all.items():

input_data_formatted[name] = [format_value(x) for x in inputs]

output_data_formatted = {}

for node_id, node_outputs in outputs.items():

output_data_formatted[node_id] = [[format_value(x) for x in l] for l in node_outputs]

print("!!! Exception during processing !!!")

print(traceback.format_exc())

error_details = {

"node_id": unique_id,

"exception_message": str(ex),

"exception_type": exception_type,

"traceback": traceback.format_tb(tb),

"current_inputs": input_data_formatted,

"current_outputs": output_data_formatted

}

return (False, error_details, ex)

executed.add(unique_id)

unique_id = current_item

inputs = prompt[unique_id]['inputs']

will_execute = []

if unique_id in outputs:

return []

for x in inputs:

input_data = inputs[x]

if isinstance(input_data, list):

input_unique_id = input_data[0]

output_index = input_data[1]

if input_unique_id not in outputs:

will_execute += recursive_will_execute(prompt, outputs, input_unique_id)

unique_id = current_item

inputs = prompt[unique_id]['inputs']

class_type = prompt[unique_id]['class_type']

class_def = nodes.NODE_CLASS_MAPPINGS[class_type]

is_changed_old = ''

is_changed = ''

to_delete = False

if hasattr(class_def, 'IS_CHANGED'):

if unique_id in old_prompt and 'is_changed' in old_prompt[unique_id]:

is_changed_old = old_prompt[unique_id]['is_changed']

if 'is_changed' not in prompt[unique_id]:

input_data_all = get_input_data(inputs, class_def, unique_id, outputs)

if input_data_all is not None:

try:

#is_changed = class_def.IS_CHANGED(**input_data_all)

is_changed = map_node_over_list(class_def, input_data_all, "IS_CHANGED")

prompt[unique_id]['is_changed'] = is_changed

except:

to_delete = True

else:

is_changed = prompt[unique_id]['is_changed']

if unique_id not in outputs:

return True

if not to_delete:

if is_changed != is_changed_old:

to_delete = True

elif unique_id not in old_prompt:

to_delete = True

elif inputs == old_prompt[unique_id]['inputs']:

for x in inputs:

input_data = inputs[x]

if isinstance(input_data, list):

input_unique_id = input_data[0]

output_index = input_data[1]

if input_unique_id in outputs:

to_delete = recursive_output_delete_if_changed(prompt, old_prompt, outputs, input_unique_id)

else:

to_delete = True

if to_delete:

break

else:

to_delete = True

if to_delete:

d = outputs.pop(unique_id)

del d

def __init__(self, server):

self.outputs = {}

self.object_storage = {}

self.outputs_ui = {}

self.old_prompt = {}

self.server = server

def handle_execution_error(self, prompt_id, prompt, current_outputs, executed, error, ex):

node_id = error["node_id"]

class_type = prompt[node_id]["class_type"]

# First, send back the status to the frontend depending

# on the exception type

if isinstance(ex, comfy.model_management.InterruptProcessingException):

mes = {

"prompt_id": prompt_id,

"node_id": node_id,

"node_type": class_type,

"executed": list(executed),

}

self.server.send_sync("execution_interrupted", mes, self.server.client_id)

else:

if self.server.client_id is not None:

mes = {

"prompt_id": prompt_id,

"node_id": node_id,

"node_type": class_type,

"executed": list(executed),

"exception_message": error["exception_message"],

"exception_type": error["exception_type"],

"traceback": error["traceback"],

"current_inputs": error["current_inputs"],

"current_outputs": error["current_outputs"],

}

self.server.send_sync("execution_error", mes, self.server.client_id)

# Next, remove the subsequent outputs since they will not be executed

to_delete = []

for o in self.outputs:

if (o not in current_outputs) and (o not in executed):

to_delete += [o]

if o in self.old_prompt:

d = self.old_prompt.pop(o)

del d

for o in to_delete:

d = self.outputs.pop(o)

del d

def execute(self, prompt, prompt_id, extra_data={}, execute_outputs=[]):

nodes.interrupt_processing(False)

if "client_id" in extra_data:

self.server.client_id = extra_data["client_id"]

else:

self.server.client_id = None

if self.server.client_id is not None:

self.server.send_sync("execution_start", { "prompt_id": prompt_id}, self.server.client_id)

with torch.inference_mode():

#delete cached outputs if nodes don't exist for them

to_delete = []

for o in self.outputs:

if o not in prompt:

to_delete += [o]

for o in to_delete:

d = self.outputs.pop(o)

del d

to_delete = []

for o in self.object_storage:

if o[0] not in prompt:

to_delete += [o]

else:

p = prompt[o[0]]

if o[1] != p['class_type']:

to_delete += [o]

for o in to_delete:

d = self.object_storage.pop(o)

del d

for x in prompt:

recursive_output_delete_if_changed(prompt, self.old_prompt, self.outputs, x)

current_outputs = set(self.outputs.keys())

for x in list(self.outputs_ui.keys()):

if x not in current_outputs:

d = self.outputs_ui.pop(x)

del d

if self.server.client_id is not None:

self.server.send_sync("execution_cached", { "nodes": list(current_outputs) , "prompt_id": prompt_id}, self.server.client_id)

executed = set()

output_node_id = None

to_execute = []

for node_id in list(execute_outputs):

to_execute += [(0, node_id)]

while len(to_execute) > 0:

#always execute the output that depends on the least amount of unexecuted nodes first

to_execute = sorted(list(map(lambda a: (len(recursive_will_execute(prompt, self.outputs, a[-1])), a[-1]), to_execute)))

output_node_id = to_execute.pop(0)[-1]

# This call shouldn't raise anything if there's an error deep in

# the actual SD code, instead it will report the node where the

# error was raised

success, error, ex = recursive_execute(self.server, prompt, self.outputs, output_node_id, extra_data, executed, prompt_id, self.outputs_ui, self.object_storage)

if success is not True:

self.handle_execution_error(prompt_id, prompt, current_outputs, executed, error, ex)

break

for x in executed:

self.old_prompt[x] = copy.deepcopy(prompt[x])

unique_id = item

if unique_id in validated:

return validated[unique_id]

inputs = prompt[unique_id]['inputs']

class_type = prompt[unique_id]['class_type']

obj_class = nodes.NODE_CLASS_MAPPINGS[class_type]

class_inputs = obj_class.INPUT_TYPES()

required_inputs = class_inputs['required']

errors = []

valid = True

for x in required_inputs:

if x not in inputs:

error = {

"type": "required_input_missing",

"message": "Required input is missing",

"details": f"{x}",

"extra_info": {

"input_name": x

}

}

errors.append(error)

continue

val = inputs[x]

info = required_inputs[x]

type_input = info[0]

if isinstance(val, list):

if len(val) != 2:

error = {

"type": "bad_linked_input",

"message": "Bad linked input, must be a length-2 list of [node_id, slot_index]",

"details": f"{x}",

"extra_info": {

"input_name": x,

"input_config": info,

"received_value": val

}

}

errors.append(error)

continue

o_id = val[0]

o_class_type = prompt[o_id]['class_type']

r = nodes.NODE_CLASS_MAPPINGS[o_class_type].RETURN_TYPES

if r[val[1]] != type_input:

received_type = r[val[1]]

details = f"{x}, {received_type} != {type_input}"

error = {

"type": "return_type_mismatch",

"message": "Return type mismatch between linked nodes",

"details": details,

"extra_info": {

"input_name": x,

"input_config": info,

"received_type": received_type,

"linked_node": val

}

}

errors.append(error)

continue

try:

r = validate_inputs(prompt, o_id, validated)

if r[0] is False:

# `r` will be set in `validated[o_id]` already

valid = False

continue

except Exception as ex:

typ, _, tb = sys.exc_info()

valid = False

exception_type = full_type_name(typ)

reasons = [{

"type": "exception_during_inner_validation",

"message": "Exception when validating inner node",

"details": str(ex),

"extra_info": {

"input_name": x,

"input_config": info,

"exception_message": str(ex),

"exception_type": exception_type,

"traceback": traceback.format_tb(tb),

"linked_node": val

}

}]

validated[o_id] = (False, reasons, o_id)

continue

else:

try:

if type_input == "INT":

val = int(val)

inputs[x] = val

if type_input == "FLOAT":

val = float(val)

inputs[x] = val

if type_input == "STRING":

val = str(val)

inputs[x] = val

except Exception as ex:

error = {

"type": "invalid_input_type",

"message": f"Failed to convert an input value to a {type_input} value",

"details": f"{x}, {val}, {ex}",

"extra_info": {

"input_name": x,

"input_config": info,

"received_value": val,

"exception_message": str(ex)

}

}

errors.append(error)

continue

if len(info) > 1:

if "min" in info[1] and val < info[1]["min"]:

error = {

"type": "value_smaller_than_min",

"message": "Value {} smaller than min of {}".format(val, info[1]["min"]),

"details": f"{x}",

"extra_info": {

"input_name": x,

"input_config": info,

"received_value": val,

}

}

errors.append(error)

continue

if "max" in info[1] and val > info[1]["max"]:

error = {

"type": "value_bigger_than_max",

"message": "Value {} bigger than max of {}".format(val, info[1]["max"]),

"details": f"{x}",

"extra_info": {

"input_name": x,

"input_config": info,

"received_value": val,

}

}

errors.append(error)

continue

if hasattr(obj_class, "VALIDATE_INPUTS"):

input_data_all = get_input_data(inputs, obj_class, unique_id)

#ret = obj_class.VALIDATE_INPUTS(**input_data_all)

ret = map_node_over_list(obj_class, input_data_all, "VALIDATE_INPUTS")

for i, r in enumerate(ret):

if r is not True:

details = f"{x}"

if r is not False:

details += f" - {str(r)}"

error = {

"type": "custom_validation_failed",

"message": "Custom validation failed for node",

"details": details,

"extra_info": {

"input_name": x,

"input_config": info,

"received_value": val,

}

}

errors.append(error)

continue

else:

if isinstance(type_input, list):

if val not in type_input:

input_config = info

list_info = ""

# Don't send back gigantic lists like if they're lots of

# scanned model filepaths

if len(type_input) > 20:

list_info = f"(list of length {len(type_input)})"

input_config = None

else:

list_info = str(type_input)

error = {

"type": "value_not_in_list",

"message": "Value not in list",

"details": f"{x}: '{val}' not in {list_info}",

"extra_info": {

"input_name": x,

"input_config": input_config,

"received_value": val,

}

}

errors.append(error)

continue

if len(errors) > 0 or valid is not True:

ret = (False, errors, unique_id)

else:

ret = (True, [], unique_id)

validated[unique_id] = ret

module = klass.__module__

if module == 'builtins':

return klass.__qualname__

outputs = set()

for x in prompt:

class_ = nodes.NODE_CLASS_MAPPINGS[prompt[x]['class_type']]

if hasattr(class_, 'OUTPUT_NODE') and class_.OUTPUT_NODE == True:

outputs.add(x)

if len(outputs) == 0:

error = {

"type": "prompt_no_outputs",

"message": "Prompt has no outputs",

"details": "",

"extra_info": {}

}

return (False, error, [], [])

good_outputs = set()

errors = []

node_errors = {}

validated = {}

for o in outputs:

valid = False

reasons = []

try:

m = validate_inputs(prompt, o, validated)

valid = m[0]

reasons = m[1]

except Exception as ex:

typ, _, tb = sys.exc_info()

valid = False

exception_type = full_type_name(typ)

reasons = [{

"type": "exception_during_validation",

"message": "Exception when validating node",

"details": str(ex),

"extra_info": {

"exception_type": exception_type,

"traceback": traceback.format_tb(tb)

}

}]

validated[o] = (False, reasons, o)

if valid is True:

good_outputs.add(o)

else:

print(f"Failed to validate prompt for output {o}:")

if len(reasons) > 0:

print("* (prompt):")

for reason in reasons:

print(f" - {reason['message']}: {reason['details']}")

errors += [(o, reasons)]

for node_id, result in validated.items():

valid = result[0]

reasons = result[1]

# If a node upstream has errors, the nodes downstream will also

# be reported as invalid, but there will be no errors attached.

# So don't return those nodes as having errors in the response.

if valid is not True and len(reasons) > 0:

if node_id not in node_errors:

class_type = prompt[node_id]['class_type']

node_errors[node_id] = {

"errors": reasons,

"dependent_outputs": [],

"class_type": class_type

}

print(f"* {class_type} {node_id}:")

for reason in reasons:

print(f" - {reason['message']}: {reason['details']}")

node_errors[node_id]["dependent_outputs"].append(o)

print("Output will be ignored")

if len(good_outputs) == 0:

errors_list = []

for o, errors in errors:

for error in errors:

errors_list.append(f"{error['message']}: {error['details']}")

errors_list = "\n".join(errors_list)

error = {

"type": "prompt_outputs_failed_validation",

"message": "Prompt outputs failed validation",

"details": errors_list,

"extra_info": {}

}

return (False, error, list(good_outputs), node_errors)

def __init__(self, server):

self.server = server

self.mutex = threading.RLock()

self.not_empty = threading.Condition(self.mutex)

self.task_counter = 0

self.queue = []

self.currently_running = {}

self.history = {}

server.prompt_queue = self

def put(self, item):

with self.mutex:

heapq.heappush(self.queue, item)

self.server.queue_updated()

self.not_empty.notify()

def get(self):

with self.not_empty:

while len(self.queue) == 0:

self.not_empty.wait()

item = heapq.heappop(self.queue)

i = self.task_counter

self.currently_running[i] = copy.deepcopy(item)

self.task_counter += 1

self.server.queue_updated()

return (item, i)

def task_done(self, item_id, outputs):

with self.mutex:

prompt = self.currently_running.pop(item_id)

self.history[prompt[1]] = { "prompt": prompt, "outputs": {} }

for o in outputs:

self.history[prompt[1]]["outputs"][o] = outputs[o]

self.server.queue_updated()

def get_current_queue(self):

with self.mutex:

out = []

for x in self.currently_running.values():

out += [x]

return (out, copy.deepcopy(self.queue))

def get_tasks_remaining(self):

with self.mutex:

return len(self.queue) + len(self.currently_running)

def wipe_queue(self):

with self.mutex:

self.queue = []

self.server.queue_updated()

def delete_queue_item(self, function):

with self.mutex:

for x in range(len(self.queue)):

if function(self.queue[x]):

if len(self.queue) == 1:

self.wipe_queue()

else:

self.queue.pop(x)

heapq.heapify(self.queue)

self.server.queue_updated()

return True

return False

def get_history(self, prompt_id=None):

with self.mutex:

if prompt_id is None:

return copy.deepcopy(self.history)

elif prompt_id in self.history:

return {prompt_id: copy.deepcopy(self.history[prompt_id])}

else:

return {}

def wipe_history(self):

with self.mutex:

self.history = {}

def delete_history_item(self, id_to_delete):

with self.mutex: