feat: add dynamic trigger_words inputs to PromptLM node

- Backend: Add _AllContainer for dynamic input validation bypass
- Backend: Modify INPUT_TYPES to support trigger_words1, trigger_words2, etc.
- Backend: Update encode() to collect all trigger_words* from kwargs
- Frontend: Create prompt_dynamic_inputs.js extension
- Frontend: Implement onConnectionsChange to auto-add/remove input slots
- Frontend: Renumber inputs sequentially on connect/disconnect

Based on Impact Pack's Switch (Any) node dynamic input pattern.

py/nodes/prompt.py

@@ -1,4 +1,16 @@
-from typing import Any, Optional
+from typing import Any
+import inspect
+
+
+class _AllContainer:
+    """Container that accepts any key for dynamic input validation."""
+
+    def __contains__(self, item):
+        return True
+
+    def __getitem__(self, key):
+        return ("STRING", {"forceInput": True})
+
 
 class PromptLM:
     """Encodes text (and optional trigger words) into CLIP conditioning."""
@@ -7,11 +19,27 @@ class PromptLM:
     CATEGORY = "Lora Manager/conditioning"
     DESCRIPTION = (
         "Encodes a text prompt using a CLIP model into an embedding that can be used "
-        "to guide the diffusion model towards generating specific images."
+        "to guide the diffusion model towards generating specific images. "
+        "Supports dynamic trigger words inputs."
     )
 
     @classmethod
     def INPUT_TYPES(cls):
+        dyn_inputs = {
+            "trigger_words1": (
+                "STRING",
+                {
+                    "forceInput": True,
+                    "tooltip": "Trigger words to prepend. Connect to add more inputs.",
+                },
+            ),
+        }
+
+        # Bypass validation for dynamic inputs during graph execution
+        stack = inspect.stack()
+        if len(stack) > 2 and stack[2].function == "get_input_info":
+            dyn_inputs = _AllContainer()
+
         return {
             "required": {
                 "text": (
@@ -23,36 +51,34 @@ class PromptLM:
                     },
                 ),
                 "clip": (
-                    'CLIP',
+                    "CLIP",
                     {"tooltip": "The CLIP model used for encoding the text."},
                 ),
             },
-            "optional": {
-                "trigger_words": (
-                    'STRING',
-                    {
-                        "forceInput": True,
-                        "tooltip": (
-                            "Optional trigger words to prepend to the text before "
-                            "encoding."
-                        )
-                    },
-                )
-            },
+            "optional": dyn_inputs,
         }
 
-    RETURN_TYPES = ('CONDITIONING', 'STRING',)
-    RETURN_NAMES = ('CONDITIONING', 'PROMPT',)
+    RETURN_TYPES = ("CONDITIONING", "STRING")
+    RETURN_NAMES = ("CONDITIONING", "PROMPT")
     OUTPUT_TOOLTIPS = (
         "A conditioning containing the embedded text used to guide the diffusion model.",
     )
     FUNCTION = "encode"
 
-    def encode(self, text: str, clip: Any, trigger_words: Optional[str] = None):
-        prompt = text
+    def encode(self, text: str, clip: Any, **kwargs):
+        # Collect all trigger words from dynamic inputs
+        trigger_words = []
+        for key, value in kwargs.items():
+            if key.startswith("trigger_words") and value:
+                trigger_words.append(value)
+
+        # Build final prompt
         if trigger_words:
-            prompt = ", ".join([trigger_words, text])
+            prompt = ", ".join(trigger_words + [text])
+        else:
+            prompt = text
 
         from nodes import CLIPTextEncode  # type: ignore
+
         conditioning = CLIPTextEncode().encode(clip, prompt)[0]
-        return (conditioning, prompt,)
+        return (conditioning, prompt)

web/comfyui/prompt_dynamic_inputs.js

@@ -0,0 +1,112 @@
+import { app } from "../../scripts/app.js";
+
+/**
+ * Extension for PromptLM node to support dynamic trigger_words inputs.
+ * Based on the dynamic input pattern from Impact Pack's Switch (Any) node.
+ */
+app.registerExtension({
+    name: "Comfy.LoraManager.PromptLM",
+
+    async beforeRegisterNodeDef(nodeType, nodeData, app) {
+        if (nodeData.name !== "Prompt (LoraManager)") {
+            return;
+        }
+
+        const onConnectionsChange = nodeType.prototype.onConnectionsChange;
+        
+        nodeType.prototype.onConnectionsChange = function(type, index, connected, link_info) {
+            const stackTrace = new Error().stack;
+            
+            // Skip during graph loading/pasting to avoid interference
+            if (stackTrace.includes('loadGraphData') || stackTrace.includes('pasteFromClipboard')) {
+                return onConnectionsChange?.apply?.(this, arguments);
+            }
+            
+            // Skip subgraph operations
+            if (stackTrace.includes('convertToSubgraph') || stackTrace.includes('Subgraph.configure')) {
+                return onConnectionsChange?.apply?.(this, arguments);
+            }
+            
+            if (!link_info) {
+                return onConnectionsChange?.apply?.(this, arguments);
+            }
+
+            // Handle input connections (type === 1)
+            if (type === 1) {
+                const input = this.inputs[index];
+                
+                // Only process trigger_words inputs
+                if (!input || !input.name.startsWith('trigger_words')) {
+                    return onConnectionsChange?.apply?.(this, arguments);
+                }
+
+                // Count existing trigger_words inputs
+                let triggerWordCount = 0;
+                for (const inp of this.inputs) {
+                    if (inp.name.startsWith('trigger_words')) {
+                        triggerWordCount++;
+                    }
+                }
+
+                // Renumber all trigger_words inputs sequentially
+                let slotIndex = 1;
+                for (const inp of this.inputs) {
+                    if (inp.name.startsWith('trigger_words')) {
+                        inp.name = `trigger_words${slotIndex}`;
+                        slotIndex++;
+                    }
+                }
+
+                // Add new input slot if connected and this was the last one
+                if (connected) {
+                    const lastTriggerIndex = triggerWordCount;
+                    if (index === lastTriggerIndex || index === this.inputs.findIndex(i => i.name === `trigger_words${lastTriggerIndex}`)) {
+                        this.addInput(`trigger_words${slotIndex}`, "STRING", { 
+                            forceInput: true,
+                            tooltip: "Trigger words to prepend. Connect to add more inputs."
+                        });
+                    }
+                }
+
+                // Remove disconnected empty input slots (but keep at least one)
+                if (!connected && triggerWordCount > 1) {
+                    // Check if this input is now empty and can be removed
+                    const disconnectedInput = this.inputs[index];
+                    if (disconnectedInput && disconnectedInput.name.startsWith('trigger_words')) {
+                        // Only remove if it has no link and is not the last trigger_words input
+                        const isLastTriggerSlot = index === this.inputs.findLastIndex(i => i.name.startsWith('trigger_words'));
+                        if (!isLastTriggerSlot && !disconnectedInput.link) {
+                            this.removeInput(index);
+                            
+                            // Renumber again after removal
+                            let newSlotIndex = 1;
+                            for (const inp of this.inputs) {
+                                if (inp.name.startsWith('trigger_words')) {
+                                    inp.name = `trigger_words${newSlotIndex}`;
+                                    newSlotIndex++;
+                                }
+                            }
+                        }
+                    }
+                }
+            }
+
+            return onConnectionsChange?.apply?.(this, arguments);
+        };
+    },
+
+    nodeCreated(node, app) {
+        if (node.comfyClass !== "Prompt (LoraManager)") {
+            return;
+        }
+
+        // Ensure at least one trigger_words input exists on creation
+        const hasTriggerWords = node.inputs.some(inp => inp.name.startsWith('trigger_words'));
+        if (!hasTriggerWords) {
+            node.addInput("trigger_words1", "STRING", { 
+                forceInput: true,
+                tooltip: "Trigger words to prepend. Connect to add more inputs."
+            });
+        }
+    }
+});