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>

__init__.py

@@ -8,7 +8,7 @@
 import importlib
 import logging
 
-version_code = [1, 20]
+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})")
 

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

@@ -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/libs/common.py

@@ -5,7 +5,11 @@ import logging
 from server import PromptServer
 
 
-SCHEDULERS = comfy.samplers.KSampler.SCHEDULERS + ['AYS SDXL', 'AYS SD1', 'AYS SVD', "GITS[coeff=1.2]", 'OSS FLUX', 'OSS Wan']
+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/prompt_support.py

@@ -524,7 +524,7 @@ class GlobalSampler:
         return {
             "required": {
                 "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ),
-                "scheduler": (common.SCHEDULERS, ),
+                "scheduler": (common.get_schedulers(), ),
             }
         }
 

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 = "1.20"
+version = "1.23"
 license = { file = "LICENSE" }
 dependencies = ["matplotlib", "cachetools"]