chore: set clip strength to 0 when there is no CLIP. (just in case)

fix: sometimes the preview image extension is prefixed with '.preview'

.github/workflows/publish.yml

@@ -0,0 +1,21 @@
+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          ## Add your own personal access token to your Github Repository secrets and reference it here.
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

README.md

@@ -16,6 +16,13 @@ They get their vanilla equivalents with less features
 Overall, Custom-Scripts is recommended to be able to know the content of the tag lists with the node `showText`
 
 ## Features
+### Lora Trigger Words
+Lora trigger words are imported from two sources : 
+- Civitai api (only for civitai models)
+
+![image](./images/CivitaiTriggerWords.png)
+- Model training metadata (when available)
+
 #### Vanilla vs Advanced
 > Vanilla refers to nodes that have no lora preview from the menu, nor the lora list. But the features provided are the same.
 

nodes_autotrigger.py

@@ -14,7 +14,6 @@ class LoraLoaderVanilla:
         return {
             "required": { 
                 "model": ("MODEL",),
-                "clip": ("CLIP", ),
                 "lora_name": (LORA_LIST, ),
                 "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}),
@@ -22,6 +21,7 @@ class LoraLoaderVanilla:
                 "append_loraname_if_empty": ("BOOLEAN", {"default": False}),
             },
             "optional": {
+                "clip": ("CLIP", ),
                 "override_lora_name":("STRING", {"forceInput": True}), 
             }
         }
@@ -31,7 +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, override_lora_name=""):
+    def load_lora(self, model, lora_name, strength_model, strength_clip, force_fetch, append_loraname_if_empty, clip=None, override_lora_name=""):
+        if clip is None:
+            strength_clip=0
         if override_lora_name != "":
             lora_name = override_lora_name
         meta_tags_list = sort_tags_by_frequency(get_metadata(lora_name, "loras"))
@@ -109,7 +111,6 @@ class LoraLoaderAdvanced:
         return {
             "required": { 
                 "model": ("MODEL",),
-                "clip": ("CLIP", ),
                 "lora_name": (LORA_LIST, ),
                 "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}),
@@ -118,6 +119,7 @@ class LoraLoaderAdvanced:
                 "append_loraname_if_empty": ("BOOLEAN", {"default": False}),
             },
             "optional": {
+                "clip": ("CLIP", ),
                 "override_lora_name":("STRING", {"forceInput": True}), 
             }
         }
@@ -127,7 +129,9 @@ 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, override_lora_name=""):
+    def load_lora(self, model, lora_name, strength_model, strength_clip, force_fetch, enable_preview, append_loraname_if_empty, clip=None, override_lora_name=""):
+        if clip is None:
+            strength_clip=0
         if override_lora_name != "":
             has_preview, prev = get_preview_path(override_lora_name, "loras")
             prev = f"loras/{prev}" if has_preview else None
@@ -253,7 +257,6 @@ class LoraTagsOnly:
 
         return (civitai_tags_list, meta_tags_list)
 
-
 # A dictionary that contains all nodes you want to export with their names
 # NOTE: names should be globally unique
 NODE_CLASS_MAPPINGS = {

pyproject.toml

@@ -0,0 +1,14 @@
+[project]
+name = "comfyui-lora-auto-trigger-words"
+description = "The aim of these custom nodes is to get an easy access to the tags used to trigger a lora / lycoris. Extract the tags from civitai or from the safetensors metadatas when available."
+version = "1.0.3"
+license = "MIT"
+
+[project.urls]
+Repository = "https://github.com/idrirap/ComfyUI-Lora-Auto-Trigger-Words"
+#  Used by Comfy Registry https://comfyregistry.org
+
+[tool.comfy]
+PublisherId = "dijkstra"
+DisplayName = "ComfyUI-Lora-Auto-Trigger-Words"
+Icon = ""

utils.py

@@ -15,11 +15,14 @@ def get_preview_path(name, type):
     
     file_path_no_ext = os.path.splitext(file_path)[0]
     item_image=None
-    for ext in ["png", "jpg", "jpeg", "preview.png"]:
+    for ext in ["png", "jpg", "jpeg", "gif"]:
-        has_image = os.path.isfile(file_path_no_ext + "." + ext)
+        if item_image is not None:
-        if has_image:
-            item_image = f"{file_name}.{ext}"
             break
+        for ext2 in ["", ".preview"]:
+            has_image = os.path.isfile(file_path_no_ext + ext2 + "." + ext)
+            if has_image:
+                item_image = f"{file_name}{ext2}.{ext}"
+                break
         
     return has_image, item_image