fix: broken preview when using both enable preview and override_lora_name

feat: added tags only node. Added node to load lora names as string. …

nodes_autotrigger.py

@@ -16,10 +16,13 @@ class LoraLoaderVanilla:
                 "model": ("MODEL",),
                 "clip": ("CLIP", ),
                 "lora_name": (LORA_LIST, ),
-                "strength_model": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.1}),
-                "strength_clip": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.1}),
+                "strength_model": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                "strength_clip": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                 "force_fetch": ("BOOLEAN", {"default": False}),
                 "append_loraname_if_empty": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "override_lora_name":("STRING", {"forceInput": True}), 
             }
         }
     
@@ -28,7 +31,9 @@ class LoraLoaderVanilla:
     FUNCTION = "load_lora"
     CATEGORY = "autotrigger"
 
-    def load_lora(self, model, clip, lora_name, strength_model, strength_clip, force_fetch, append_loraname_if_empty):
+    def load_lora(self, model, clip, lora_name, strength_model, strength_clip, force_fetch, append_loraname_if_empty, override_lora_name=""):
+        if override_lora_name != "":
+            lora_name = override_lora_name
         meta_tags_list = sort_tags_by_frequency(get_metadata(lora_name, "loras"))
         civitai_tags_list = load_and_save_tags(lora_name, force_fetch)
 
@@ -66,6 +71,7 @@ class LoraLoaderStackedVanilla:
             },
             "optional": {
                 "lora_stack": ("LORA_STACK", ),
+                "override_lora_name":("STRING", {"forceInput": True}), 
             }
         }
 
@@ -75,7 +81,9 @@ class LoraLoaderStackedVanilla:
     #OUTPUT_NODE = False
     CATEGORY = "autotrigger"
 
-    def set_stack(self, lora_name, lora_weight, force_fetch, append_loraname_if_empty, lora_stack=None):
+    def set_stack(self, lora_name, lora_weight, force_fetch, append_loraname_if_empty, lora_stack=None, override_lora_name=""):
+        if override_lora_name != "":
+            lora_name = override_lora_name
         civitai_tags_list = load_and_save_tags(lora_name, force_fetch)
 
         meta_tags = get_metadata(lora_name, "loras")
@@ -84,12 +92,11 @@ class LoraLoaderStackedVanilla:
         civitai_tags_list = append_lora_name_if_empty(civitai_tags_list, lora_name, append_loraname_if_empty)
         meta_tags_list = append_lora_name_if_empty(meta_tags_list, lora_name, append_loraname_if_empty)
 
+        loras = [(lora_name,lora_weight,lora_weight,)]
         if lora_stack is not None:
-            lora_stack.append((lora_name,lora_weight,lora_weight,))
-        else:
-            lora_stack = [(lora_name,lora_weight,lora_weight,)]
+            loras.extend(lora_stack)
 
-        return (civitai_tags_list, meta_tags_list, lora_stack)
+        return (civitai_tags_list, meta_tags_list, loras)
 
 class LoraLoaderAdvanced:
     def __init__(self):
@@ -104,11 +111,14 @@ class LoraLoaderAdvanced:
                 "model": ("MODEL",),
                 "clip": ("CLIP", ),
                 "lora_name": (LORA_LIST, ),
-                "strength_model": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.1}),
-                "strength_clip": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.1}),
+                "strength_model": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
+                "strength_clip": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01}),
                 "force_fetch": ("BOOLEAN", {"default": False}),
                 "enable_preview": ("BOOLEAN", {"default": False}),
                 "append_loraname_if_empty": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "override_lora_name":("STRING", {"forceInput": True}), 
             }
         }
     
@@ -117,7 +127,12 @@ class LoraLoaderAdvanced:
     FUNCTION = "load_lora"
     CATEGORY = "autotrigger"
 
-    def load_lora(self, model, clip, lora_name, strength_model, strength_clip, force_fetch, enable_preview, append_loraname_if_empty):
+    def load_lora(self, model, clip, lora_name, strength_model, strength_clip, force_fetch, enable_preview, append_loraname_if_empty, override_lora_name=""):
+        if override_lora_name != "":
+            has_preview, prev = get_preview_path(override_lora_name, "loras")
+            prev = f"loras/{prev}" if has_preview else None
+            lora_name = {"content": override_lora_name, "image": prev, "type": "loras"}
+        
         meta_tags_list = sort_tags_by_frequency(get_metadata(lora_name["content"], "loras"))
         civitai_tags_list = load_and_save_tags(lora_name["content"], force_fetch)
 
@@ -167,6 +182,7 @@ class LoraLoaderStackedAdvanced:
             },
             "optional": {
                 "lora_stack": ("LORA_STACK", ),
+                "override_lora_name":("STRING", {"forceInput": True}), 
             }
         }
 
@@ -176,7 +192,12 @@ class LoraLoaderStackedAdvanced:
     #OUTPUT_NODE = False
     CATEGORY = "autotrigger"
 
-    def set_stack(self, lora_name, lora_weight, force_fetch, enable_preview, append_loraname_if_empty, lora_stack=None):
+    def set_stack(self, lora_name, lora_weight, force_fetch, enable_preview, append_loraname_if_empty, lora_stack=None, override_lora_name=""):
+        if override_lora_name != "":
+            has_preview, prev = get_preview_path(override_lora_name, "loras")
+            prev = f"loras/{prev}" if has_preview else None
+            lora_name = {"content": override_lora_name, "image": prev, "type": "loras"}
+        
         civitai_tags_list = load_and_save_tags(lora_name["content"], force_fetch)
 
         meta_tags = get_metadata(lora_name["content"], "loras")
@@ -185,10 +206,9 @@ class LoraLoaderStackedAdvanced:
         civitai_tags_list = append_lora_name_if_empty(civitai_tags_list, lora_name["content"], append_loraname_if_empty)
         meta_tags_list = append_lora_name_if_empty(meta_tags_list, lora_name["content"], append_loraname_if_empty)
 
+        loras = [(lora_name["content"],lora_weight,lora_weight,)]
         if lora_stack is not None:
-            lora_stack.append((lora_name["content"],lora_weight,lora_weight,))
-        else:
-            lora_stack = [(lora_name["content"],lora_weight,lora_weight,)]
+            loras.extend(lora_stack)
 
         if enable_preview:
             _, preview = copy_preview_to_temp(lora_name["image"])
@@ -198,9 +218,40 @@ class LoraLoaderStackedAdvanced:
                     "subfolder": "lora_preview",
                     "type": "temp"
                 }
-                return {"ui": {"images": [preview_output]}, "result": (civitai_tags_list, meta_tags_list, lora_stack)}
+                return {"ui": {"images": [preview_output]}, "result": (civitai_tags_list, meta_tags_list, loras)}
         
-        return {"result": (civitai_tags_list, meta_tags_list, lora_stack)}
+        return {"result": (civitai_tags_list, meta_tags_list, loras)}
+
+class LoraTagsOnly:
+    @classmethod
+    def INPUT_TYPES(s):
+        LORA_LIST = sorted(folder_paths.get_filename_list("loras"), key=str.lower)
+        return {
+            "required": { 
+                "lora_name": (LORA_LIST,),
+                "force_fetch": ("BOOLEAN", {"default": False}),
+                "append_loraname_if_empty": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "override_lora_name":("STRING", {"forceInput": True}), 
+            }
+        }
+
+    RETURN_TYPES = ("LIST", "LIST")
+    RETURN_NAMES = ("civitai_tags_list", "meta_tags_list")
+    FUNCTION = "ask_lora"
+    CATEGORY = "autotrigger"
+
+    def ask_lora(self, lora_name, force_fetch, append_loraname_if_empty, override_lora_name=""):
+        if override_lora_name != "":
+            lora_name = override_lora_name
+        meta_tags_list = sort_tags_by_frequency(get_metadata(lora_name, "loras"))
+        civitai_tags_list = load_and_save_tags(lora_name, force_fetch)
+
+        meta_tags_list = append_lora_name_if_empty(meta_tags_list, lora_name, append_loraname_if_empty)
+        civitai_tags_list = append_lora_name_if_empty(civitai_tags_list, lora_name, append_loraname_if_empty)
+
+        return (civitai_tags_list, meta_tags_list)
 
 
 # A dictionary that contains all nodes you want to export with their names
@@ -210,6 +261,7 @@ NODE_CLASS_MAPPINGS = {
     "LoraLoaderStackedVanilla": LoraLoaderStackedVanilla,
     "LoraLoaderAdvanced": LoraLoaderAdvanced,
     "LoraLoaderStackedAdvanced": LoraLoaderStackedAdvanced,
+    "LoraTagsOnly": LoraTagsOnly,
 }
 
 # A dictionary that contains the friendly/humanly readable titles for the nodes
@@ -218,4 +270,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "LoraLoaderStackedVanilla": "LoraLoaderStackedVanilla",
     "LoraLoaderAdvanced": "LoraLoaderAdvanced",
     "LoraLoaderStackedAdvanced": "LoraLoaderStackedAdvanced",
+    "LoraTagsOnly": "LoraTagsOnly",
 }

nodes_utils.py

@@ -1,5 +1,3 @@
-import random
-
 from .utils import *
 
 class FusionText:
@@ -20,11 +18,13 @@ class Randomizer:
         return {
             "required": {
                "text_1":("STRING", {"forceInput": True}), 
-               "lora_1":("LORA_STACK", ), 
                "text_2":("STRING", {"forceInput": True} ), 
-               "lora_2":("LORA_STACK", ), 
                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
             },
+            "optional": {
+                "lora_1":("LORA_STACK", ), 
+                "lora_2":("LORA_STACK", ), 
+            }
         }
 
     RETURN_TYPES = ("STRING", "LORA_STACK")
@@ -35,9 +35,8 @@ class Randomizer:
 
     CATEGORY = "autotrigger"
 
-    def randomize(self, text_1, lora_1, text_2, lora_2, seed):
-        random.seed(seed)
-        if random.random() < .5:
+    def randomize(self, text_1, text_2, seed, lora_1=[], lora_2=[]):
+        if seed %2 == 0:
             return (text_1, lora_1)
         return (text_2, lora_2)
     
@@ -121,6 +120,25 @@ class TagsFormater:
 
         return (output,)
 
+class LoraListNames:
+    @classmethod
+    def INPUT_TYPES(s):
+        LORA_LIST = sorted(folder_paths.get_filename_list("loras"), key=str.lower)
+        return {
+            "required": { 
+                "lora_name": (LORA_LIST,),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("lora_name",)
+    FUNCTION = "output_selected"
+    CATEGORY = "autotrigger"
+
+    def output_selected(self, lora_name):
+        name = lora_name
+        return (name,)
+
 # A dictionary that contains all nodes you want to export with their names
 # NOTE: names should be globally unique
 NODE_CLASS_MAPPINGS = {
@@ -129,6 +147,7 @@ NODE_CLASS_MAPPINGS = {
     "TextInputBasic": TextInputBasic,
     "TagsSelector": TagsSelector,
     "TagsFormater": TagsFormater,
+    "LoraListNames": LoraListNames,
 }
 
 # A dictionary that contains the friendly/humanly readable titles for the nodes
@@ -138,4 +157,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "TextInputBasic": "TextInputBasic",
     "TagsSelector": "TagsSelector",
     "TagsFormater": "TagsFormater",
+    "LoraListNames": "LoraListNames",
 }

utils.py

@@ -31,6 +31,8 @@ def copy_preview_to_temp(file_name):
     lora_less = "/".join(file_name.split("/")[1:])
 
     file_path = folder_paths.get_full_path("loras", lora_less)
+    if file_path is None:
+        return None, None
 
     temp_path = folder_paths.get_temp_directory()
     preview_path = os.path.join(temp_path, "lora_preview")
@@ -103,21 +105,21 @@ def load_and_save_tags(lora_name, force_fetch):
         output_tags_list = []
 
     lora_path = folder_paths.get_full_path("loras", lora_name)
-    if lora_tags is None or force_fetch: # search on civitai only if no local cache or forced
-        print("calculating lora hash")
+    if lora_tags is None or force_fetch or output_tags is None: # search on civitai only if no local cache or forced
+        print("[Lora-Auto-Trigger] calculating lora hash")
         LORAsha256 = calculate_sha256(lora_path)
-        print("requesting infos")
+        print("[Lora-Auto-Trigger] requesting infos")
         model_info = get_model_version_info(LORAsha256)
         if model_info is not None:
             if "trainedWords" in model_info:
-                print("tags found!")
+                print("[Lora-Auto-Trigger] tags found!")
                 if lora_tags is None:
                     lora_tags = {}
                 lora_tags[lora_name] = model_info["trainedWords"]
-                save_dict_to_json(lora_tags,json_tags_path)
+                save_dict_to_json(lora_tags, json_tags_path)
                 output_tags_list = model_info["trainedWords"]
         else:
-            print("No informations found.")
+            print("[Lora-Auto-Trigger] No informations found.")
             if lora_tags is None:
                     lora_tags = {}
             lora_tags[lora_name] = []