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]

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']

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 []

executed = []

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:

executed += recursive_execute(server, prompt, outputs, input_unique_id, extra_data)

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

if server.client_id is not None:

server.last_node_id = unique_id

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

obj = class_def()

nodes.before_node_execution()

outputs[unique_id] = getattr(obj, obj.FUNCTION)(**input_data_all)

if "ui" in outputs[unique_id] and server.client_id is not None:

server.send_sync("executed", { "node": unique_id, "output": outputs[unique_id]["ui"] }, server.client_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 = ''

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)

is_changed = class_def.IS_CHANGED(**input_data_all)

prompt[unique_id]['is_changed'] = is_changed

else:

is_changed = prompt[unique_id]['is_changed']

if unique_id not in outputs:

return True

to_delete = False

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.old_prompt = {}

self.server = server

def execute(self, prompt, extra_data={}):

nodes.interrupt_processing(False)

if "client_id" in extra_data:

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

else:

self.server.client_id = None

with torch.no_grad():

for x in prompt:

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

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

executed = []

try:

to_execute = []

for x in prompt:

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

if hasattr(class_, 'OUTPUT_NODE'):

to_execute += [(0, x)]

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)))

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

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

if hasattr(class_, 'OUTPUT_NODE'):

if class_.OUTPUT_NODE == True:

valid = False

try:

m = validate_inputs(prompt, x)

valid = m[0]

except:

valid = False

if valid:

executed += recursive_execute(self.server, prompt, self.outputs, x, extra_data)

except Exception as e:

print(traceback.format_exc())

to_delete = []

for o in self.outputs:

if o not in current_outputs:

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

else:

executed = set(executed)

for x in executed:

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

finally:

self.server.last_node_id = None

if self.server.client_id is not None:

self.server.send_sync("executing", { "node": None }, self.server.client_id)

gc.collect()

if torch.cuda.is_available():

if torch.version.cuda: #This seems to make things worse on ROCm so I only do it for cuda

torch.cuda.empty_cache()

unique_id = item

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']

for x in required_inputs:

if x not in inputs:

return (False, "Required input is missing. {}, {}".format(class_type, x))

val = inputs[x]

info = required_inputs[x]

type_input = info[0]

if isinstance(val, list):

if len(val) != 2:

return (False, "Bad Input. {}, {}".format(class_type, x))

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:

return (False, "Return type mismatch. {}, {}, {} != {}".format(class_type, x, r[val[1]], type_input))

r = validate_inputs(prompt, o_id)

if r[0] == False:

return r

else:

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

if len(info) > 1:

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

return (False, "Value smaller than min. {}, {}".format(class_type, x))

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

return (False, "Value bigger than max. {}, {}".format(class_type, x))

if isinstance(type_input, list):

if val not in type_input:

return (False, "Value not in list. {}, {}: {} not in {}".format(class_type, x, val, type_input))

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:

return (False, "Prompt has no outputs")

good_outputs = set()

errors = []

for o in outputs:

valid = False

reason = ""

try:

m = validate_inputs(prompt, o)

valid = m[0]

reason = m[1]

except:

valid = False

reason = "Parsing error"

if valid == True:

good_outputs.add(x)

else:

print("Failed to validate prompt for output {} {}".format(o, reason))

print("output will be ignored")

errors += [(o, reason)]

if len(good_outputs) == 0:

errors_list = "\n".join(map(lambda a: "{}".format(a[1]), errors))

return (False, "Prompt has no properly connected outputs\n {}".format(errors_list))

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:

if "ui" in outputs[o]:

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

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):

with self.mutex:

return copy.deepcopy(self.history)

def wipe_history(self):

with self.mutex:

self.history = {}

def delete_history_item(self, id_to_delete):

with self.mutex: