feat: Impact Pack progressive on-demand wildcard loading support

Add compatibility with Impact Pack's progressive on-demand wildcard loading system.
Wildcard selector now displays loading status indicators:
- 🔵 On-Demand mode: Shows loaded wildcard count
- 🟢 Full Cache mode: All wildcards loaded

Changes:
- Import Impact Pack's get_wildcard_label(), is_wildcard_label(), load_wildcard_status()
- Add fallback functions for backward compatibility
- Update WildcardEncode and MakeBasicPipe nodes with dynamic status display
- Add async callbacks to reload status after wildcard selection

Backward compatible with older Impact Pack versions.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

.github/workflows/publish.yml

@@ -7,15 +7,19 @@ on:
     paths:
       - "pyproject.toml"
 
+permissions:
+  issues: write
+
 jobs:
   publish-node:
     name: Publish Custom Node to registry
     runs-on: ubuntu-latest
+    if: ${{ github.repository_owner == 'ltdrdata' }}
     steps:
       - name: Check out code
         uses: actions/checkout@v4
       - name: Publish Custom Node
-        uses: Comfy-Org/publish-node-action@main
+        uses: Comfy-Org/publish-node-action@v1
         with:
           ## Add your own personal access token to your Github Repository secrets and reference it here.
-          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

README.md

@@ -2,7 +2,8 @@
 This repository offers various extension nodes for ComfyUI. Nodes here have different characteristics compared to those in the ComfyUI Impact Pack. The Impact Pack has become too large now...
 
 ## Notice:
-* v1.9.1 To avoid confusion with the `NOISE` type in core, the type name has been changed to `NOISE_IMAGE`.
+* V1.18: To use the 'OSS' Scheduler, please update to ComfyUI version 0.3.28 or later (April 13th or newer) and Impact Pack version V8.11 or higher.
+* V1.9.1 To avoid confusion with the `NOISE` type in core, the type name has been changed to `NOISE_IMAGE`.
 * V0.73 The Variation Seed feature is added to Regional Prompt nodes, and it is only compatible with versions Impact Pack V5.10 and above.
 * V0.69 incompatible with the outdated **ComfyUI IPAdapter Plus**. (A version dated March 24th or later is required.)
 * V0.64 add sigma_factor to RegionalPrompt... nodes required Impact Pack V4.76 or later.
@@ -172,7 +173,8 @@ This repository offers various extension nodes for ComfyUI. Nodes here have diff
   * `Float Range (Inspire)`: Create a float list that increases the value by `step` from `start` to `stop`. A list as large as the maximum limit is created, and when `ensure_end` is enabled, the last value of the list becomes the stop value.
   * `Worklist To Item List (Inspire)`: The list in ComfyUI allows for repeated execution of a sub-workflow. This groups these repetitions (a.k.a. list) into a single ITEM_LIST output. ITEM_LIST can then be used in ForeachList.
   * `▶Foreach List (Inspire)`: A starting node for performing iterative tasks by retrieving items one by one from the ITEM_LIST.\nGenerate a new intermediate_output using item and intermediate_output as inputs, then connect it to ForeachListEnd.\nNOTE:If initial_input is omitted, the first item in item_list is used as the initial value, and the processing starts from the second item in item_list.
-  * `Foreach List◀ (Inspire)`: A end node for performing iterative tasks by retrieving items one by one from the ITEM_LIST.\nNOTE:Directly connect the outputs of ForeachListBegin to 'flow_control' and 'remained_list'.
+  * `Foreach List◀ (Inspire)`: An end node for performing iterative tasks by retrieving items one by one from the ITEM_LIST.\nNOTE:Directly connect the outputs of ForeachListBegin to 'flow_control' and 'remained_list'.
+  * `Drop List (Inspire)`: Removes all items from the ITEM_LIST. If the ITEM_LIST generated through this node is passed to ForeachListEnd, the process is immediately terminated.
 
 ### Util - Utilities
   * `ToIPAdapterPipe (Inspire)`, `FromIPAdapterPipe (Inspire)`: These nodes assists in conveniently using the bundled ipadapter_model, clip_vision, and model required for applying IPAdapter.

__init__.py

@@ -8,7 +8,7 @@
 import importlib
 import logging
 
-version_code = [1, 15]
+version_code = [1, 23]
 version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 logging.info(f"### Loading: ComfyUI-Inspire-Pack ({version_str})")
 
@@ -39,13 +39,3 @@ for module_name in node_list:
 
 WEB_DIRECTORY = "./js"
 __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]
-
-try:
-    import cm_global
-    cm_global.register_extension('ComfyUI-Inspire-Pack',
-                                 {'version': version_code,
-                                  'name': 'Inspire Pack',
-                                  'nodes': set(NODE_CLASS_MAPPINGS.keys()),
-                                  'description': 'This extension provides various nodes to support Lora Block Weight and the Impact Pack. Provides many easily applicable regional features and applications for Variation Seed.', })
-except:
-    pass

inspire/a1111_compat.py

@@ -127,7 +127,7 @@ class KSampler_inspire:
                      "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                      "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}),
                      "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                     "scheduler": (common.SCHEDULERS, ),
+                     "scheduler": (common.get_schedulers(), ),
                      "positive": ("CONDITIONING", ),
                      "negative": ("CONDITIONING", ),
                      "latent_image": ("LATENT", ),
@@ -169,7 +169,7 @@ class KSamplerAdvanced_inspire:
                      "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                      "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}),
                      "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                     "scheduler": (common.SCHEDULERS, ),
+                     "scheduler": (common.get_schedulers(), ),
                      "positive": ("CONDITIONING", ),
                      "negative": ("CONDITIONING", ),
                      "latent_image": ("LATENT", ),
@@ -227,7 +227,7 @@ class KSampler_inspire_pipe:
                      "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                      "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}),
                      "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                     "scheduler": (common.SCHEDULERS, ),
+                     "scheduler": (common.get_schedulers(), ),
                      "latent_image": ("LATENT", ),
                      "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
                      "noise_mode": (supported_noise_modes,),
@@ -265,7 +265,7 @@ class KSamplerAdvanced_inspire_pipe:
                      "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                      "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}),
                      "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                     "scheduler": (common.SCHEDULERS, ),
+                     "scheduler": (common.get_schedulers(), ),
                      "latent_image": ("LATENT", ),
                      "start_at_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
                      "end_at_step": ("INT", {"default": 10000, "min": 0, "max": 10000}),

inspire/backend_support.py

@@ -189,7 +189,7 @@ class RetrieveBackendData:
 
         if v is None:
             logging.warning(f"[RetrieveBackendData] '{key}' is unregistered key.")
-            return (None,)
+            return ([None],)
 
         is_list, data = v[1]
 
@@ -521,7 +521,13 @@ class LoadTextEncoderShared:
                     logging.error("[LoadTextEncoderShared] Currently, the triple text encoder is only supported in `sd3`.")
                     raise ValueError("Currently, the triple text encoder is only supported in `sd3`.")
 
-                res = nodes.NODE_CLASS_MAPPINGS["TripleCLIPLoader"]().load_clip(model_name1, model_name2, model_name3)[0]
+                tcloader = nodes.NODE_CLASS_MAPPINGS["TripleCLIPLoader"]()
+                if hasattr(tcloader, 'execute'):
+                    # node v3
+                    res = tcloader.execute(model_name1, model_name2, model_name3)[0]
+                else:
+                    # legacy compatibility
+                    res = tcloader.load_clip(model_name1, model_name2, model_name3)[0]
 
             elif model_name2 != "None" or model_name3 != "None": # dual text encoder
                 second_model = model_name2 if model_name2 != "None" else model_name3

inspire/image_util.py

@@ -15,6 +15,48 @@ from .libs.utils import ByPassTypeTuple, empty_pil_tensor, empty_latent
 from PIL import Image
 import numpy as np
 import logging
+import re
+
+
+def extract_first_number(s):
+    match = re.search(r'\d+', s)
+    return int(match.group()) if match else float('inf')
+
+
+sort_methods = [
+    "None",
+    "Alphabetical (ASC)",
+    "Alphabetical (DESC)",
+    "Numerical (ASC)",
+    "Numerical (DESC)",
+    "Datetime (ASC)",
+    "Datetime (DESC)"
+]
+
+
+def sort_by(items, base_path='.', method=None):
+    def fullpath(x): return os.path.join(base_path, x)
+
+    def get_timestamp(path):
+        try:
+            return os.path.getmtime(path)
+        except FileNotFoundError:
+            return float('-inf')
+
+    if method == "Alphabetical (ASC)":
+        return sorted(items)
+    elif method == "Alphabetical (DESC)":
+        return sorted(items, reverse=True)
+    elif method == "Numerical (ASC)":
+        return sorted(items, key=lambda x: extract_first_number(os.path.splitext(x)[0]))
+    elif method == "Numerical (DESC)":
+        return sorted(items, key=lambda x: extract_first_number(os.path.splitext(x)[0]), reverse=True)
+    elif method == "Datetime (ASC)":
+        return sorted(items, key=lambda x: get_timestamp(fullpath(x)))
+    elif method == "Datetime (DESC)":
+        return sorted(items, key=lambda x: get_timestamp(fullpath(x)), reverse=True)
+    else:
+        return items
 
 
 class LoadImagesFromDirBatch:
@@ -28,6 +70,7 @@ class LoadImagesFromDirBatch:
                 "image_load_cap": ("INT", {"default": 0, "min": 0, "step": 1}),
                 "start_index": ("INT", {"default": 0, "min": -1, "max": 0xffffffffffffffff, "step": 1}),
                 "load_always": ("BOOLEAN", {"default": False, "label_on": "enabled", "label_off": "disabled"}),
+                "sort_method": (sort_methods,),
             }
         }
 
@@ -43,7 +86,7 @@ class LoadImagesFromDirBatch:
         else:
             return hash(frozenset(kwargs))
 
-    def load_images(self, directory: str, image_load_cap: int = 0, start_index: int = 0, load_always=False):
+    def load_images(self, directory: str, image_load_cap: int = 0, start_index: int = 0, load_always=False, sort_method=None):
         if not os.path.isdir(directory):
             raise FileNotFoundError(f"Directory '{directory} cannot be found.'")
         dir_files = os.listdir(directory)
@@ -56,7 +99,7 @@ class LoadImagesFromDirBatch:
             valid_extensions.extend('.jxl')
         dir_files = [f for f in dir_files if any(f.lower().endswith(ext) for ext in valid_extensions)]
 
-        dir_files = sorted(dir_files)
+        dir_files = sort_by(dir_files, directory, sort_method)
         dir_files = [os.path.join(directory, x) for x in dir_files]
 
         # start at start_index
@@ -133,6 +176,7 @@ class LoadImagesFromDirList:
                 "image_load_cap": ("INT", {"default": 0, "min": 0, "step": 1}),
                 "start_index": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "step": 1}),
                 "load_always": ("BOOLEAN", {"default": False, "label_on": "enabled", "label_off": "disabled"}),
+                "sort_method": (sort_methods,),
             }
         }
 
@@ -151,7 +195,7 @@ class LoadImagesFromDirList:
         else:
             return hash(frozenset(kwargs))
 
-    def load_images(self, directory: str, image_load_cap: int = 0, start_index: int = 0, load_always=False):
+    def load_images(self, directory: str, image_load_cap: int = 0, start_index: int = 0, load_always=False, sort_method=None):
         if not os.path.isdir(directory):
             raise FileNotFoundError(f"Directory '{directory}' cannot be found.")
         dir_files = os.listdir(directory)
@@ -164,7 +208,7 @@ class LoadImagesFromDirList:
             valid_extensions.extend('.jxl')
         dir_files = [f for f in dir_files if any(f.lower().endswith(ext) for ext in valid_extensions)]
 
-        dir_files = sorted(dir_files)
+        dir_files = sort_by(dir_files, directory, sort_method)
         dir_files = [os.path.join(directory, x) for x in dir_files]
 
         # start at start_index

inspire/libs/common.py

@@ -1,5 +1,3 @@
-import traceback
-
 import comfy
 import nodes
 from . import utils
@@ -7,7 +5,11 @@ import logging
 from server import PromptServer
 
 
-SCHEDULERS = comfy.samplers.KSampler.SCHEDULERS + ['AYS SDXL', 'AYS SD1', 'AYS SVD', "GITS[coeff=1.2]"]
+ADDITIONAL_SCHEDULERS = ['AYS SDXL', 'AYS SD1', 'AYS SVD', 'GITS[coeff=1.2]', 'LTXV[default]', 'OSS FLUX', 'OSS Wan', 'OSS Chroma']
+
+
+def get_schedulers():
+    return list(comfy.samplers.SCHEDULER_HANDLERS) + ADDITIONAL_SCHEDULERS
 
 
 def impact_sampling(*args, **kwargs):

inspire/list_nodes.py

@@ -1,3 +1,5 @@
+import logging
+
 from comfy_execution.graph_utils import GraphBuilder, is_link
 from .libs.utils import any_typ
 from .libs.common import update_node_status, ListWrapper
@@ -165,10 +167,13 @@ class ForeachListEnd:
                 self.collect_contained(child_id, upstream, contained)
 
     def doit(self, flow_control, remained_list, intermediate_output, dynprompt, unique_id):
-        if remained_list.aux[1] is None:
-            remained_list.aux = (remained_list.aux[0], unique_id)
+        if hasattr(remained_list, "aux"):
+            if remained_list.aux[1] is None:
+                remained_list.aux = (remained_list.aux[0], unique_id)
 
-        update_node_status(remained_list.aux[1], f"{(remained_list.aux[0]-len(remained_list))}/{remained_list.aux[0]} steps", (remained_list.aux[0]-len(remained_list))/remained_list.aux[0])
+            update_node_status(remained_list.aux[1], f"{(remained_list.aux[0]-len(remained_list))}/{remained_list.aux[0]} steps", (remained_list.aux[0]-len(remained_list))/remained_list.aux[0])
+        else:
+            logging.warning("[Inspire Pack] ForeachListEnd: `remained_list` did not come from ForeachList.")
 
         if len(remained_list) == 0:
             return (intermediate_output,)
@@ -217,11 +222,39 @@ class ForeachListEnd:
         }
 
 
+class DropItems:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { "item_list": ("ITEM_LIST", {"tooltip":"Directly connect the output of ForeachListBegin, the starting node of the iteration."}), },
+        }
+
+    RETURN_TYPES = (any_typ,)
+    RETURN_NAMES = ("ITEM_LIST",)
+    OUTPUT_TOOLTIPS = ("This is the final output value.",)
+
+    FUNCTION = "doit"
+
+    DESCRIPTION = ""
+
+    CATEGORY = "InspirePack/List"
+
+    def doit(self, item_list):
+        l = ListWrapper([])
+        if hasattr(item_list, 'aux'):
+            l.aux = item_list.aux
+        else:
+            logging.warning("[Inspire Pack] DropItems: `item_list` did not come from ForeachList.")
+
+        return (l,)
+
+
 NODE_CLASS_MAPPINGS = {
     "FloatRange //Inspire": FloatRange,
     "WorklistToItemList //Inspire": WorklistToItemList,
     "ForeachListBegin //Inspire": ForeachListBegin,
     "ForeachListEnd //Inspire": ForeachListEnd,
+    "DropItems //Inspire": DropItems,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -229,4 +262,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "WorklistToItemList //Inspire": "Worklist To Item List (Inspire)",
     "ForeachListBegin //Inspire": "▶Foreach List (Inspire)",
     "ForeachListEnd //Inspire": "Foreach List◀ (Inspire)",
+    "DropItems //Inspire": "Drop Items (Inspire)",
 }

inspire/model_nodes.py

@@ -30,6 +30,7 @@ model_preset = {
     "SD1.5 FaceID Portrait v11":   ("ip-adapter-faceid-portrait-v11_sd15",    "CLIP-ViT-H-14-laion2B-s32B-b79K", None, True),
     "SD1.5 FaceID Portrait":       ("ip-adapter-faceid-portrait_sd15",        "CLIP-ViT-H-14-laion2B-s32B-b79K", None, True),
     "SDXL FaceID":                 ("ip-adapter-faceid_sdxl",                 "CLIP-ViT-H-14-laion2B-s32B-b79K", "ip-adapter-faceid_sdxl_lora", True),
+    "SDXL FaceID Plus v2":         ("ip-adapter-faceid-plusv2_sdxl",          "CLIP-ViT-H-14-laion2B-s32B-b79K", "ip-adapter-faceid-plusv2_sdxl_lora", True),
     "SDXL FaceID Portrait":        ("ip-adapter-faceid-portrait_sdxl",        "CLIP-ViT-H-14-laion2B-s32B-b79K", None, True),
     "SDXL FaceID Portrait unnorm": ("ip-adapter-faceid-portrait_sdxl_unnorm", "CLIP-ViT-H-14-laion2B-s32B-b79K", None, True),
     "Kolors FaceID Plus":          ("Kolors-IP-Adapter-FaceID-Plus",          "clip-vit-large-patch14-336", None, True),

inspire/prompt_support.py

@@ -130,7 +130,7 @@ class LoadPromptsFromDir:
 
                     for prompt in prompt_list:
                         pattern = r"^(?:(?:positive:(?P<positive>.*?)|negative:(?P<negative>.*?)|name:(?P<name>.*?))\n*)+$"
-                        matches = re.search(pattern, prompt, re.DOTALL)
+                        matches = re.search(pattern, prompt, re.DOTALL | re.IGNORECASE)
 
                         if matches:
                             positive_text = matches.group('positive').strip()
@@ -487,13 +487,44 @@ class GlobalSeed:
         return {}
 
 
+class SeedLogger:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                "seeds": ("STRING", {"multiline": True, "dynamicPrompts": False, "control_after_generate": False}),
+                "limit": ("INT", {"default": 5, "min": 0, "max": 0xffffffffffffffff}),
+            },
+            "hidden": {"unique_id": "UNIQUE_ID"}
+        }
+
+    RETURN_TYPES = ()
+    FUNCTION = "doit"
+
+    CATEGORY = "InspirePack/Prompt"
+
+    OUTPUT_NODE = True
+
+    def doit(self, seed, seeds: str, limit, unique_id):
+
+        if limit > 0:
+            lines = seeds.split('\n')
+            res = str(seed) + '\n' + '\n'.join(lines[:limit-1])
+        else:
+            res = str(seed) + '\n' + seeds
+
+        PromptServer.instance.send_sync("inspire-node-feedback", {"node_id": unique_id, "widget_name": "seeds", "type": "text", "data": res})
+        return {}
+
+
 class GlobalSampler:
     @classmethod
     def INPUT_TYPES(s):
         return {
             "required": {
                 "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                "scheduler": (common.SCHEDULERS, ),
+                "scheduler": (common.get_schedulers(), ),
             }
         }
 
@@ -993,6 +1024,7 @@ NODE_CLASS_MAPPINGS = {
     "ZipPrompt //Inspire": ZipPrompt,
     "PromptExtractor //Inspire": PromptExtractor,
     "GlobalSeed //Inspire": GlobalSeed,
+    "SeedLogger //Inspire": SeedLogger,
     "GlobalSampler //Inspire": GlobalSampler,
     "BindImageListPromptList //Inspire": BindImageListPromptList,
     "WildcardEncode //Inspire": WildcardEncodeInspire,
@@ -1004,7 +1036,7 @@ NODE_CLASS_MAPPINGS = {
     "MakeBasicPipe //Inspire": MakeBasicPipe,
     "RemoveControlNet //Inspire": RemoveControlNet,
     "RemoveControlNetFromRegionalPrompts //Inspire": RemoveControlNetFromRegionalPrompts,
-    "CompositeNoise //Inspire": CompositeNoise
+    "CompositeNoise //Inspire": CompositeNoise,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -1015,6 +1047,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "ZipPrompt //Inspire": "Zip Prompt (Inspire)",
     "PromptExtractor //Inspire": "Prompt Extractor (Inspire)",
     "GlobalSeed //Inspire": "Global Seed (Inspire)",
+    "SeedLogger //Inspire": "Seed Logger (Inspire)",
     "GlobalSampler //Inspire": "Global Sampler (Inspire)",
     "BindImageListPromptList //Inspire": "Bind [ImageList, PromptList] (Inspire)",
     "WildcardEncode //Inspire": "Wildcard Encode (Inspire)",

inspire/regional_nodes.py

@@ -20,7 +20,7 @@ class RegionalPromptSimple:
                 "mask": ("MASK",),
                 "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}),
                 "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
-                "scheduler": (common.SCHEDULERS,),
+                "scheduler": (common.get_schedulers(),),
                 "wildcard_prompt": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "wildcard prompt"}),
                 "controlnet_in_pipe": ("BOOLEAN", {"default": False, "label_on": "Keep", "label_off": "Override"}),
                 "sigma_factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
@@ -107,7 +107,7 @@ class RegionalPromptColorMask:
                 "mask_color": ("STRING", {"multiline": False, "default": "#FFFFFF"}),
                 "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}),
                 "sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
-                "scheduler": (common.SCHEDULERS,),
+                "scheduler": (common.get_schedulers(),),
                 "wildcard_prompt": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "wildcard prompt"}),
                 "controlnet_in_pipe": ("BOOLEAN", {"default": False, "label_on": "Keep", "label_off": "Override"}),
                 "sigma_factor": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),

inspire/sampler_nodes.py

@@ -16,7 +16,7 @@ class KSampler_progress(a1111_compat.KSampler_inspire):
                     "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                     "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}),
                     "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                    "scheduler": (common.SCHEDULERS, ),
+                    "scheduler": (common.get_schedulers(), ),
                     "positive": ("CONDITIONING", ),
                     "negative": ("CONDITIONING", ),
                     "latent_image": ("LATENT", ),
@@ -79,7 +79,7 @@ class KSamplerAdvanced_progress(a1111_compat.KSamplerAdvanced_inspire):
                     "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
                     "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step":0.5, "round": 0.01}),
                     "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                    "scheduler": (common.SCHEDULERS, ),
+                    "scheduler": (common.get_schedulers(), ),
                     "positive": ("CONDITIONING", ),
                     "negative": ("CONDITIONING", ),
                     "latent_image": ("LATENT", ),

inspire/segs_support.py

@@ -301,7 +301,12 @@ class Canny_Preprocessor_wrapper:
 
     def apply(self, image, mask=None):
         obj = nodes.NODE_CLASS_MAPPINGS['Canny']()
-        return obj.detect_edge(image, self.low_threshold, self.high_threshold)[0]
+        if hasattr(obj, 'execute'):
+            # node v3
+            return obj.execute(image, self.low_threshold, self.high_threshold)[0]
+        else:
+            # legacy compatibility
+            return obj.detect_edge(image, self.low_threshold, self.high_threshold)[0]
 
 
 class OpenPose_Preprocessor_Provider_for_SEGS:

js/prompt.js

@@ -2,15 +2,45 @@ import { ComfyApp, app } from "../../scripts/app.js";
 import { api } from "../../scripts/api.js";
 
 let get_wildcards_list;
+let get_wildcard_label;
+let is_wildcard_label;
+let load_wildcard_status;
+
 try {
 	const ImpactPack = await import("../ComfyUI-Impact-Pack/impact-pack.js");
+	console.log("[Inspire Pack] Impact Pack module loaded:", ImpactPack);
 	get_wildcards_list = ImpactPack.get_wildcards_list;
+	get_wildcard_label = ImpactPack.get_wildcard_label;
+	is_wildcard_label = ImpactPack.is_wildcard_label;
+	load_wildcard_status = ImpactPack.load_wildcard_status;
+	console.log("[Inspire Pack] Functions imported:", {
+		get_wildcards_list: !!get_wildcards_list,
+		get_wildcard_label: !!get_wildcard_label,
+		is_wildcard_label: !!is_wildcard_label,
+		load_wildcard_status: !!load_wildcard_status
+	});
+}
+catch (error) {
+	console.error("[Inspire Pack] Failed to import Impact Pack module:", error);
 }
-catch (error) {}
 
-// fallback
+// Fallback for get_wildcards_list
 if(!get_wildcards_list) {
-	get_wildcards_list = () => { return ["Impact Pack isn't installed or is outdated."]; }
+	console.warn("[Inspire Pack] get_wildcards_list not available. Using fallback.");
+	get_wildcards_list = () => {
+		return ["Impact Pack isn't installed or needs browser cache refresh."];
+	}
+}
+
+// Fallback for on-demand features (backward compatibility with older Impact Pack)
+if(!get_wildcard_label) {
+	get_wildcard_label = () => { return "Select the Wildcard to add to the text"; };
+}
+if(!is_wildcard_label) {
+	is_wildcard_label = (value) => { return value === "Select the Wildcard to add to the text"; };
+}
+if(!load_wildcard_status) {
+	load_wildcard_status = async () => {}; // No-op for older versions
 }
 
 let pb_cache = {};
@@ -62,19 +92,23 @@ app.registerExtension({
             });
 
             // wildcard
-            node.widgets[combo_id+1].callback = (value, canvas, node, pos, e) => {
+            node.widgets[combo_id+1].callback = async (value, canvas, node, pos, e) => {
                     if(wildcard_text_widget.value != '')
                         wildcard_text_widget.value += ', '
 
                     wildcard_text_widget.value += node._wildcard_value;
+
+                    // Reload wildcard status to update loaded count (Impact Pack staged feature)
+                    await load_wildcard_status();
+                    app.canvas.setDirty(true);
             }
 
 			Object.defineProperty(node.widgets[combo_id+1], "value", {
 				set: (value) => {
-                    if (value !== "Select the Wildcard to add to the text")
+                    if (!is_wildcard_label(value))
                         node._wildcard_value = value;
                 },
-				get: () => { return "Select the Wildcard to add to the text"; }
+				get: () => { return get_wildcard_label(); }
 			});
 
 			Object.defineProperty(node.widgets[combo_id+1].options, "values", {
@@ -86,7 +120,10 @@ app.registerExtension({
 
 			// Preventing validation errors from occurring in any situation.
 			node.widgets[combo_id].serializeValue = () => { return "Select the LoRA to add to the text"; }
-			node.widgets[combo_id+1].serializeValue = () => { return "Select the Wildcard to add to the text"; }
+			node.widgets[combo_id+1].serializeValue = () => {
+				// Always serialize as the default label (not the dynamic on-demand label)
+				return "Select the Wildcard to add to the text";
+			}
 
 			// wildcard populating
 			populated_text_widget.inputEl.disabled = true;
@@ -145,7 +182,7 @@ app.registerExtension({
 				get: () => { return "Select the LoRA to add to the text"; }
 			});
 
-            node.widgets[combo_id+1].callback = (value, canvas, node, pos, e) => {
+            node.widgets[combo_id+1].callback = async (value, canvas, node, pos, e) => {
                 let w = null;
                 if(direction_widget.value) {
                     w = pos_wildcard_text_widget;
@@ -158,14 +195,18 @@ app.registerExtension({
                     w.value += ', '
 
                 w.value += node._wildcard_value;
+
+                // Reload wildcard status to update loaded count (Impact Pack staged feature)
+                await load_wildcard_status();
+                app.canvas.setDirty(true);
             }
 
 			Object.defineProperty(node.widgets[combo_id+1], "value", {
 				set: (value) => {
-                        if (value !== "Select the Wildcard to add to the text")
+                        if (!is_wildcard_label(value))
                             node._wildcard_value = value;
 					},
-				get: () => { return "Select the Wildcard to add to the text"; }
+				get: () => { return get_wildcard_label(); }
 			});
 
 			Object.defineProperty(node.widgets[combo_id+1].options, "values", {
@@ -177,7 +218,10 @@ app.registerExtension({
 
 			// Preventing validation errors from occurring in any situation.
 			node.widgets[combo_id].serializeValue = () => { return "Select the LoRA to add to the text"; }
-			node.widgets[combo_id+1].serializeValue = () => { return "Select the Wildcard to add to the text"; }
+			node.widgets[combo_id+1].serializeValue = () => {
+				// Always serialize as the default label (not the dynamic on-demand label)
+				return "Select the Wildcard to add to the text";
+			}
 
 			// wildcard populating
 			pos_populated_text_widget.inputEl.disabled = true;
@@ -270,7 +314,7 @@ app.registerExtension({
 
 
 const original_queuePrompt = api.queuePrompt;
-async function queuePrompt_with_widget_idxs(number, { output, workflow }) {
+async function queuePrompt_with_widget_idxs(number, { output, workflow }, ...args) {
 	workflow.widget_idx_map = {};
 
 	for(let i in app.graph._nodes_by_id) {
@@ -289,7 +333,7 @@ async function queuePrompt_with_widget_idxs(number, { output, workflow }) {
 		}
 	}
 
-	return await original_queuePrompt.call(api, number, { output, workflow });
+	return await original_queuePrompt.call(api, number, { output, workflow }, ...args);
 }
 
 api.queuePrompt = queuePrompt_with_widget_idxs;

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-inspire-pack"
 description = "This extension provides various nodes to support Lora Block Weight, Regional Nodes, Backend Cache, Prompt Utils, List Utils, Noise(Seed) Utils, ... and the Impact Pack."
-version = "1.15"
+version = "1.23"
 license = { file = "LICENSE" }
 dependencies = ["matplotlib", "cachetools"]
 

requirements.txt

@@ -1,5 +1,5 @@
 matplotlib
 cachetools
-numpy<2
+numpy
 webcolors
 opencv-python