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 = {}