0.43

README.md

@@ -1,4 +1,4 @@
-# 🔗 Comfyui : Bjornulf_custom_nodes v0.42 🔗
+# 🔗 Comfyui : Bjornulf_custom_nodes v0.43 🔗
 
 # Coffee : ☕☕☕☕☕ 5/5
 
@@ -71,6 +71,7 @@
 
 ## 🦙 AI 🦙
 `19.` [🦙 Ollama](#19----ollama)
+`31.` [🔊 TTS - Text to Speech](#31----tts---text-to-speech-100-local-any-voice-you-want-any-language)
 
 ## 🔊 Audio 🔊
 `31.` [🔊 TTS - Text to Speech](#31----tts---text-to-speech-100-local-any-voice-you-want-any-language)
@@ -211,6 +212,7 @@ cd /where/you/installed/ComfyUI && python main.py
 - **v0.40**: Add variables management to Loop Advanced Write Text node. Add menu for all nodes to the README.
 - **v0.41**: Two new nodes : image details and combine images. Also ❗ Big changes to the If-Else node. (+many minor changes)
 - **v0.42**: Better README with category nodes, changes some node titles
+- **v0.43**: Add control_after_generate to Ollama and allow to keep in VRAM for 1 minute if needed. (For chaining quick generations.) Add fallback to 0.0.0.0
 
 # 📝 Nodes descriptions
 
@@ -367,12 +369,20 @@ Save image in a specific folder : `my_folder/00001.png`, `my_folder/00002.png`,
 Also allow multiple nested folders, like for example : `animal/dog/small`.
 
 ## 19 - 🦙 Ollama
-![Show Text](screenshots/ollama.png)
+![Ollama](screenshots/ollama_1.png)
 
 **Description:**  
 Will generate detailed text based of what you give it.  
 I recommend using `mistral-nemo` if you can run it, but it's up to you. (Might have to tweak the system prompt a bit)  
-⚠️ Warning : Having an ollama node that will run for each generation might be a bit heavy on your VRAM. Think about if you really need it or not.
+
+You also have `control_after_generate` to force the node to rerun for every workflow run. (Even if there is no modification of the node or its inputs.)  
+
+You have the option to keep in in you VRAM for a minute with `keep_1min_in_vram`. (If you plan having to generate many times with the same prompt)  
+Each run will be significantly faster, but not free your VRAM for something else.  
+
+![Ollama](screenshots/ollama_2.png) 
+
+⚠️ Warning : Using `keep_1min_in_vram` might be a bit heavy on your VRAM. Think about if you really need it or not. Most of the time, when using `keep_1min_in_vram`, you don't want to have also a generation of image or anything else in the same time.  
 
 ## 20 - 📹 Video Ping Pong
 ![Video Ping Pong](screenshots/video_pingpong.png)

ollama.py

@@ -1,15 +1,26 @@
 import ollama
 from ollama import Client  # pip install ollama
+import logging
+import hashlib
 
 class ollamaLoader:
     @classmethod
     def get_available_models(cls):
         try:
-            list_models = ollama.list()
+            # First try with 127.0.0.1
+            client = Client(host="http://127.0.0.1:11434")
+            list_models = client.list()  # Assuming list() is part of the Client class
             return [model['name'] for model in list_models['models']]
-        except Exception as e:
-            print(f"Error fetching models: {e}")
-            return ["dolphin-llama3"]  # Return a default model if fetching fails
+        except Exception as e1:
+            print(f"Error fetching models from 127.0.0.1: {e1}")
+            try:
+                # Fallback to 0.0.0.0
+                client = Client(host="http://0.0.0.0:11434")
+                list_models = client.list()
+                return [model['name'] for model in list_models['models']]
+            except Exception as e2:
+                print(f"Error fetching models from 0.0.0.0: {e2}")
+                return ["none"]  # Return a default model if fetching fails
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -22,6 +33,8 @@ class ollamaLoader:
                     "multiline": True,
                     "default": default_system_prompt
                 }),
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+                "keep_1min_in_vram": ("BOOLEAN", {"default": False})
             }
         }
 
@@ -30,14 +43,56 @@ class ollamaLoader:
     FUNCTION = "connect_2_ollama"
     CATEGORY = "Bjornulf"
 
-    def connect_2_ollama(self, user_prompt, selected_model, system_prompt):
+    def __init__(self):
+        self.last_content_hash = None
+
+    def connect_2_ollama(self, user_prompt, selected_model, system_prompt, keep_1min_in_vram, seed):
+        # Generate a hash of the current content
+        content_hash = hashlib.md5((user_prompt + selected_model + system_prompt).encode()).hexdigest()
+
+        # Check if the content has changed
+        if content_hash != self.last_content_hash:
+            # Content has changed, use the provided seed
+            self.last_content_hash = content_hash
+        else:
+            # Content hasn't changed, set seed to None to prevent randomization
+            seed = None
+        
+        keep_alive_minutes = 0
+        if(keep_1min_in_vram):
+            keep_alive_minutes = 1
+            
         keep_alive = 0
-        client = Client(host="http://127.0.0.1:11434")
-        response = client.generate(
-            model=selected_model,
-            system=system_prompt,
-            prompt=user_prompt,
-            keep_alive=str(keep_alive) + "m"
-        )
-        print("Ollama response : ", response['response'])
+        # client = Client(host="http://0.0.0.0:11434")
+        # response = client.generate(
+        #     model=selected_model,
+        #     system=system_prompt,
+        #     prompt=user_prompt,
+        #     keep_alive=str(keep_alive_minutes) + "m"
+        # )
+        try:
+            # First attempt with 127.0.0.1
+            client = Client(host="http://127.0.0.1:11434")
+            response = client.generate(
+                model=selected_model,
+                system=system_prompt,
+                prompt=user_prompt,
+                keep_alive=str(keep_alive_minutes) + "m"
+            )
+            logging.info("Ollama response (127.0.0.1): " + response['response'])
+        except Exception as e:
+            logging.warning(f"Connection to 127.0.0.1 failed: {e}")
+            try:
+                # Fallback to 0.0.0.0 if 127.0.0.1 fails
+                client = Client(host="http://0.0.0.0:11434")
+                response = client.generate(
+                    model=selected_model,
+                    system=system_prompt,
+                    prompt=user_prompt,
+                    keep_alive=str(keep_alive_minutes) + "m"
+                )
+                logging.info("Ollama response (0.0.0.0): " + response['response'])
+            except Exception as e:
+                logging.error(f"Connection to 0.0.0.0 also failed: {e}")
+        logging.info("Ollama response : " + response['response'])
         return (response['response'],)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "bjornulf_custom_nodes"
 description = "Nodes: Ollama, Text to Speech, Combine Texts, Random Texts, Save image for Bjornulf LobeChat, Text with random Seed, Random line from input, Combine images, Image to grayscale (black & white), Remove image Transparency (alpha), Resize Image, ..."
-version = "0.42"
+version = "0.43"
 license = {file = "LICENSE"}
 
 [project.urls]