more changes to streamline for our alternate use case

__init__.py

@@ -6,7 +6,7 @@ try:
     use_generic_nodes = False
 except:
     use_generic_nodes = True
-    print("Failed to import comfy.samplers, assuming no comfyui skipping SD related nodes")
+    print("ETK> Failed to import comfy.samplers, assuming no comfyui skipping SD related nodes")
 
 from custom_nodes.EternalKernelLiteGraphNodes.latent import LatentInterpolation
 from custom_nodes.EternalKernelLiteGraphNodes.image  import PadToMatch

image.py

@@ -5,8 +5,7 @@ try:
         SaveImage
     from custom_nodes.ComfyUI_ADV_CLIP_emb.nodes import AdvancedCLIPTextEncode as CLIPTextEncodeAdvanced
 except ImportError as e:
-    print("comfy.samplers not found, skipping comfyui")
-    print(e)
+    print("ETK> comfy.samplers not found, skipping comfyui")
     SaveImage = None
 
 import torch
@@ -263,11 +262,15 @@ class ExecWidget:
         # globals().update(new_locals)
         # locals().update(new_locals)
         # print(globals())
-        out_str = new_locals.get("out_str", None)
+        out_string = new_locals.get("out_string", None)
         out_image = new_locals.get("out_image", None)
         out_float = new_locals.get("out_float", None)
-        return (out_str, out_image, out_float,)
-
+        return (out_string, out_image, out_float,)
+    @classmethod
+    def IS_CHANGED(s, name):
+        m = hashlib.sha256()
+        m.update(name)
+        return m.digest().hex()
 
 class PromptTemplate:
     """replaces the text in the given text string with a given other text at some key positions"""

nlp.py

@@ -43,7 +43,6 @@ class SimpleTextWidget:
         return {"required":
             {
                 "text": ("STRING", {"multiline": True}),
-                "Display": ("SERVER_STRING", {"multiline": True}),
             },
 
         }
@@ -52,7 +51,7 @@ class SimpleTextWidget:
     RETURN_TYPES = ("STRING",)
     FUNCTION = "handler"
 
-    def handler(self, text,Display):
+    def handler(self, text):
         ret = self.func(text)
         return (ret,)
 
@@ -79,6 +78,16 @@ avoid numpy and PIL as much as possible
 class LLMCompletion(SimpleTextWidget):
     """uses the input text to call the specified LLM model and returns the output string"""
 
+    def __init__(self):
+        self.func = self.OAI_completion
+        super().__init__(self.func)
+        import uuid
+        self.SSID = str(uuid.uuid4())
+
+        from main import server_obj_holder
+        self.server_string = server_obj_holder[0]["server_strings"]
+        self.server_string[self.SSID] = "empty"
+
     def OAI_completion(self, text):
         out_message = [{"role": "user", "content": text}]
 
@@ -87,19 +96,8 @@ class LLMCompletion(SimpleTextWidget):
             messages=out_message
         )
         gpt_message = response["choices"][0]["message"]["content"].strip()
-        self.server_strings[self.SSID] = gpt_message
+        self.server_string[self.SSID] = gpt_message
         return gpt_message
 
-    def __init__(self):
-        self.func = self.OAI_completion
-        super().__init__(self.func)
-        import uuid
-        self.SSID = str(uuid.uuid4())
-        from main import server_obj_holder
-        self.server_strings = server_obj_holder[0].server_strings
-        self.server_strings["self.SSID"] = "empty"
-
-
-
 
 LLMCompletion.register("LLM_Completion")