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import random
import nodes
import server
from enum import Enum
from . import prompt_support
from aiohttp import web
from . import backend_support
max_seed = 2**32 - 1
@server.PromptServer.instance.routes.get("/inspire/prompt_builder")
def prompt_builder(request):
result = {"presets": []}
if "category" in request.rel_url.query:
category = request.rel_url.query["category"]
if category in prompt_support.prompt_builder_preset:
result['presets'] = prompt_support.prompt_builder_preset[category]
return web.json_response(result)
@server.PromptServer.instance.routes.get("/inspire/cache/remove")
def cache_remove(request):
if "key" in request.rel_url.query:
key = request.rel_url.query["key"]
del backend_support.cache[key]
return web.Response(status=200)
@server.PromptServer.instance.routes.get("/inspire/cache/clear")
def cache_clear(request):
backend_support.cache.clear()
return web.Response(status=200)
@server.PromptServer.instance.routes.get("/inspire/cache/list")
def cache_refresh(request):
return web.Response(text=backend_support.ShowCachedInfo.get_data(), status=200)
@server.PromptServer.instance.routes.post("/inspire/cache/settings")
async def set_cache_settings(request):
data = await request.text()
try:
backend_support.ShowCachedInfo.set_cache_settings(data)
return web.Response(text='OK', status=200)
except Exception as e: # pylint: disable=broad-except
return web.Response(text=f"{e}", status=500)
class SGmode(Enum):
FIX = 1
INCR = 2
DECR = 3
RAND = 4
class SeedGenerator:
def __init__(self, base_value, action):
self.base_value = base_value
if action == "fixed" or action == "increment" or action == "decrement" or action == "randomize":
self.action = SGmode.FIX
elif action == 'increment for each node':
self.action = SGmode.INCR
elif action == 'decrement for each node':
self.action = SGmode.DECR
elif action == 'randomize for each node':
self.action = SGmode.RAND
def next(self):
seed = self.base_value
if self.action == SGmode.INCR:
self.base_value += 1
if self.base_value > max_seed:
self.base_value = 0
elif self.action == SGmode.DECR:
self.base_value -= 1
if self.base_value < 0:
self.base_value = max_seed
elif self.action == SGmode.RAND:
self.base_value = random.randint(0, max_seed)
return seed
def control_seed(v):
action = v['inputs']['action']
value = v['inputs']['value']
if action == 'increment' or action == 'increment for each node':
value += 1
if value > max_seed:
value = 0
elif action == 'decrement' or action == 'decrement for each node':
value -= 1
if value < 0:
value = max_seed
elif action == 'randomize' or action == 'randomize for each node':
value = random.randint(0, max_seed)
v['inputs']['value'] = value
return value
def prompt_seed_update(json_data):
try:
widget_idx_map = json_data['extra_data']['extra_pnginfo']['workflow']['widget_idx_map']
except Exception:
return False, None
value = None
mode = None
node = None
action = None
for k, v in json_data['prompt'].items():
if 'class_type' not in v:
continue
cls = v['class_type']
if cls == 'GlobalSeed //Inspire':
mode = v['inputs']['mode']
action = v['inputs']['action']
value = v['inputs']['value']
node = k, v
# control before generated
if mode is not None and mode:
value = control_seed(node[1])
if value is not None:
seed_generator = SeedGenerator(value, action)
for k, v in json_data['prompt'].items():
for k2, v2 in v['inputs'].items():
if isinstance(v2, str) and '$GlobalSeed.value$' in v2:
v['inputs'][k2] = v2.replace('$GlobalSeed.value$', str(value))
if k not in widget_idx_map or ('seed' not in widget_idx_map[k] and 'noise_seed' not in widget_idx_map[k]):
continue
if 'seed' in v['inputs']:
if isinstance(v['inputs']['seed'], int):
v['inputs']['seed'] = seed_generator.next()
if 'noise_seed' in v['inputs']:
if isinstance(v['inputs']['noise_seed'], int):
v['inputs']['noise_seed'] = seed_generator.next()
for k2, v2 in v['inputs'].items():
if isinstance(v2, str) and '$GlobalSeed.value$' in v2:
v['inputs'][k2] = v2.replace('$GlobalSeed.value$', str(value))
# control after generated
if mode is not None and not mode:
control_seed(node[1])
return value is not None, mode
def workflow_seed_update(json_data, mode):
nodes = json_data['extra_data']['extra_pnginfo']['workflow']['nodes']
widget_idx_map = json_data['extra_data']['extra_pnginfo']['workflow']['widget_idx_map']
prompt = json_data['prompt']
updated_seed_map = {}
value = None
for node in nodes:
node_id = str(node['id'])
if node_id in prompt:
if node['type'] == 'GlobalSeed //Inspire':
if mode is True:
node['widgets_values'][3] = node['widgets_values'][0]
node['widgets_values'][0] = prompt[node_id]['inputs']['value']
node['widgets_values'][2] = 'fixed'
value = prompt[node_id]['inputs']['value']
elif node_id in widget_idx_map:
widget_idx = None
seed = None
if 'noise_seed' in prompt[node_id]['inputs']:
seed = prompt[node_id]['inputs']['noise_seed']
widget_idx = widget_idx_map[node_id].get('noise_seed')
elif 'seed' in prompt[node_id]['inputs']:
seed = prompt[node_id]['inputs']['seed']
widget_idx = widget_idx_map[node_id].get('seed')
if widget_idx is not None:
node['widgets_values'][widget_idx] = seed
updated_seed_map[node_id] = seed
server.PromptServer.instance.send_sync("inspire-global-seed", {"value": value, "seed_map": updated_seed_map})
def prompt_sampler_update(json_data):
try:
widget_idx_map = json_data['extra_data']['extra_pnginfo']['workflow']['widget_idx_map']
except Exception:
return None
nodes = json_data['extra_data']['extra_pnginfo']['workflow']['nodes']
prompt = json_data['prompt']
sampler_name = None
scheduler = None
for v in prompt.values():
cls = v.get('class_type')
if cls == 'GlobalSampler //Inspire':
sampler_name = v['inputs']['sampler_name']
scheduler = v['inputs']['scheduler']
if sampler_name is None:
return
for node in nodes:
cls = node.get('type')
if cls == 'GlobalSampler //Inspire' or cls is None:
continue
node_id = str(node['id'])
if node_id in prompt and node_id in widget_idx_map:
sampler_widget_idx = widget_idx_map[node_id].get('sampler_name')
scheduler_widget_idx = widget_idx_map[node_id].get('scheduler')
prompt_inputs = prompt[node_id]['inputs']
if ('sampler_name' in prompt_inputs and 'scheduler' in prompt_inputs and
isinstance(prompt_inputs['sampler_name'], str) and 'scheduler' in prompt_inputs):
if sampler_widget_idx is not None:
prompt_inputs['sampler_name'] = sampler_name
node['widgets_values'][sampler_widget_idx] = sampler_name
server.PromptServer.instance.send_sync("inspire-node-feedback", {"node_id": node_id, "widget_name": 'sampler_name', "type": "text", "data": sampler_name})
if scheduler_widget_idx is not None:
prompt_inputs['scheduler'] = scheduler
node['widgets_values'][scheduler_widget_idx] = scheduler
server.PromptServer.instance.send_sync("inspire-node-feedback", {"node_id": node_id, "widget_name": 'scheduler', "type": "text", "data": scheduler})
def workflow_loadimage_update(json_data):
prompt = json_data['prompt']
for v in prompt.values():
if 'class_type' in v and v['class_type'] == 'LoadImage //Inspire':
v['inputs']['image'] = "#DATA"
def populate_wildcards(json_data):
prompt = json_data['prompt']
if 'ImpactWildcardProcessor' in nodes.NODE_CLASS_MAPPINGS:
if not hasattr(nodes.NODE_CLASS_MAPPINGS['ImpactWildcardProcessor'], 'process'):
print(f"[Inspire Pack] Your Impact Pack is outdated. Please update to the latest version.")
return
wildcard_process = nodes.NODE_CLASS_MAPPINGS['ImpactWildcardProcessor'].process
updated_widget_values = {}
mbp_updated_widget_values = {}
for k, v in prompt.items():
if 'class_type' in v and v['class_type'] == 'WildcardEncode //Inspire':
inputs = v['inputs']
if inputs['mode'] and isinstance(inputs['populated_text'], str):
if isinstance(inputs['seed'], list):
try:
input_node = prompt[inputs['seed'][0]]
if input_node['class_type'] == 'ImpactInt':
input_seed = int(input_node['inputs']['value'])
if not isinstance(input_seed, int):
continue
if input_node['class_type'] == 'Seed (rgthree)':
input_seed = int(input_node['inputs']['seed'])
if not isinstance(input_seed, int):
continue
else:
print(f"[Inspire Pack] Only `ImpactInt`, `Seed (rgthree)` and `Primitive` Node are allowed as the seed for '{v['class_type']}'. It will be ignored. ")
continue
except:
continue
else:
input_seed = int(inputs['seed'])
inputs['populated_text'] = wildcard_process(text=inputs['wildcard_text'], seed=input_seed)
inputs['mode'] = False
server.PromptServer.instance.send_sync("inspire-node-feedback", {"node_id": k, "widget_name": "populated_text", "type": "text", "data": inputs['populated_text']})
updated_widget_values[k] = inputs['populated_text']
elif 'class_type' in v and v['class_type'] == 'MakeBasicPipe //Inspire':
inputs = v['inputs']
if inputs['wildcard_mode'] and (isinstance(inputs['positive_populated_text'], str) or isinstance(inputs['negative_populated_text'], str)):
if isinstance(inputs['seed'], list):
try:
input_node = prompt[inputs['seed'][0]]
if input_node['class_type'] == 'ImpactInt':
input_seed = int(input_node['inputs']['value'])
if not isinstance(input_seed, int):
continue
if input_node['class_type'] == 'Seed (rgthree)':
input_seed = int(input_node['inputs']['seed'])
if not isinstance(input_seed, int):
continue
else:
print(f"[Inspire Pack] Only `ImpactInt`, `Seed (rgthree)` and `Primitive` Node are allowed as the seed for '{v['class_type']}'. It will be ignored. ")
continue
except:
continue
else:
input_seed = int(inputs['seed'])
if isinstance(inputs['positive_populated_text'], str):
inputs['positive_populated_text'] = wildcard_process(text=inputs['positive_wildcard_text'], seed=input_seed)
server.PromptServer.instance.send_sync("inspire-node-feedback", {"node_id": k, "widget_name": "positive_populated_text", "type": "text", "data": inputs['positive_populated_text']})
if isinstance(inputs['negative_populated_text'], str):
inputs['negative_populated_text'] = wildcard_process(text=inputs['negative_wildcard_text'], seed=input_seed)
server.PromptServer.instance.send_sync("inspire-node-feedback", {"node_id": k, "widget_name": "negative_populated_text", "type": "text", "data": inputs['negative_populated_text']})
inputs['wildcard_mode'] = False
mbp_updated_widget_values[k] = inputs['positive_populated_text'], inputs['negative_populated_text']
if 'extra_data' in json_data and 'extra_pnginfo' in json_data['extra_data']:
for node in json_data['extra_data']['extra_pnginfo']['workflow']['nodes']:
key = str(node['id'])
if key in updated_widget_values:
node['widgets_values'][3] = updated_widget_values[key]
node['widgets_values'][4] = False
if key in mbp_updated_widget_values:
node['widgets_values'][7] = mbp_updated_widget_values[key][0]
node['widgets_values'][8] = mbp_updated_widget_values[key][1]
node['widgets_values'][5] = False
def force_reset_useless_params(json_data):
prompt = json_data['prompt']
for k, v in prompt.items():
if 'class_type' in v and v['class_type'] == 'PromptBuilder //Inspire':
v['inputs']['category'] = '#PLACEHOLDER'
return json_data
def onprompt(json_data):
prompt_support.list_counter_map = {}
is_changed, mode = prompt_seed_update(json_data)
if is_changed:
workflow_seed_update(json_data, mode)
prompt_sampler_update(json_data)
workflow_loadimage_update(json_data)
populate_wildcards(json_data)
force_reset_useless_params(json_data)
return json_data
server.PromptServer.instance.add_on_prompt_handler(onprompt)
NODE_CLASS_MAPPINGS = {}
NODE_DISPLAY_NAME_MAPPINGS = {}
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