add requirements.txt

README.md

@@ -1,5 +1,21 @@
 # 🔗 Comfyui : Bjornulf_custom_nodes v0.21 🔗
 
+# ☁ Usage in cloud : 
+
+If you want to use my nodes and comfyui in the cloud, I'm managing an optimized template on runpod : <https://runpod.io/console/deploy?template=r32dtr35u1&ref=tkowk7g5>  
+Template name : `bjornulf-comfyui-allin-workspace`, can be operational in ~3 minutes. (Depending on your pod)  
+⚠️ You need to open a terminal in browser (After clicking on `connect` from your pod) and use this to launch ComfyUI : `cd /workspace/ComfyUI && python main.py --listen 0.0.0.0 --port 3000` (Much better to control it with a terminal, check logs, etc...)  
+After that you can just click on the `Connect to port 3000` button.  
+If you have any issues with it, please let me know.  
+You need to create and select a network volume, size is up to you, i have 50Gb Storage because i use cloud only for Flux or lora training on a 4090. (~0.7$/hour)  
+It will manage everything in Runpod network storage (`/workspace/ComfyUI`), so you can stop and start the cloud GPU without losing anything, change GPU or whatever.  
+Zone : I recommend `EU-RO-1`, but up to you.  
+Top-up your Runpod account with minimum 10$ to start.  
+⚠️ Warning, you will pay by the minute, so not recommended for testing or learning comfyui. Do that locally !!!  
+Run cloud GPU only when you already have your workflow ready to run.  
+Advice : take a cheap GPU for testing, downloading models or so one.  
+
+
 # Dependencies
 
 - `pip install ollama` (you can also install ollama if you want :  https://ollama.com/download) - You don't need to really install it if you don't want to use my ollama node. (BUT you need to run `pip install ollama`)

__init__.py

@@ -39,7 +39,8 @@ from .image_mask_cutter import ImageMaskCutter
 from .character_description import CharacterDescriptionGenerator
 from .text_to_speech import TextToSpeech
 from .loop_combine_texts_by_lines import CombineTextsByLines
-from .free_vram_hack import FreeVRAMNode
+from .free_vram_hack import FreeVRAM
+# from .pause_resume import PauseResume
 # from .check_black_image import CheckBlackImage
 # from .clear_vram import ClearVRAM
 
@@ -48,7 +49,8 @@ from .free_vram_hack import FreeVRAMNode
 NODE_CLASS_MAPPINGS = {
     # "Bjornulf_CustomStringType": CustomStringType,
     "Bjornulf_ollamaLoader": ollamaLoader,
-    "Bjornulf_FreeVRAM": FreeVRAMNode,
+    # "Bjornulf_PauseResume": PauseResume,
+    "Bjornulf_FreeVRAM": FreeVRAM,
     "Bjornulf_CombineTextsByLines": CombineTextsByLines,
     "Bjornulf_TextToSpeech": TextToSpeech,
     "Bjornulf_CharacterDescriptionGenerator": CharacterDescriptionGenerator,
@@ -96,6 +98,7 @@ NODE_CLASS_MAPPINGS = {
 NODE_DISPLAY_NAME_MAPPINGS = {
     # "Bjornulf_CustomStringType": "!!! CUSTOM STRING TYPE !!!",
     "Bjornulf_ollamaLoader": "🦙 Ollama (Description)",
+    # "Bjornulf_PauseResume": "⏸️ Pause/Resume",
     "Bjornulf_FreeVRAM": "🧹 Free VRAM hack",
     "Bjornulf_CombineTextsByLines": "♻ Loop (All Lines from input 🔗 combine by lines)",
     "Bjornulf_TextToSpeech": "🔊 TTS - Text to Speech",

free_vram_hack.py

@@ -3,14 +3,14 @@ import gc
 import requests
 import json
 
-class FreeVRAMNode:
+class FreeVRAM:
     @classmethod
     def INPUT_TYPES(s):
         return {"required": {"image": ("IMAGE",)}}
     
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "free_vram"
-    CATEGORY = "memory_management"
+    CATEGORY = "Bjornulf"
 
     def free_vram(self, image):
         print("Attempting to free VRAM...")