Changing installer for onnxruntime due to conflicts

install_init.py

@@ -344,32 +344,23 @@ def install(pkg_spec: str):
         print(f"Failed to install {pkg_spec}: {e}")
         return
 
-def uninstall(pkg: str):
-    try:
-        subprocess.check_call([sys.executable, '-m', 'pip', 'uninstall', '-y', pkg])
-    except subprocess.CalledProcessError as e:
-        print(f"Failed to uninstall {pkg}: {e}")
-        return
-
 def install_onnxruntime():
     import torch
     gpu = torch.cuda.is_available()
     print(f"Found NVIDIA GPU: {gpu}")
     if gpu:
         if is_installed('onnxruntime'):
-            uninstall("onnxruntime")
             print(f"LP >>> Your python has the 'onnxruntime' library installed, although your computer supports 'onnxruntime-gpu'.")
             print(f"LP >>> Solution: If other node packages do not use the 'onnxruntime' library, then remove the 'onnxruntime' library for your python.")
             print(f"LP >>> Close ComfyUI and run the script at .\\ComfyUI\\custom_nodes\\ComfyUI-LevelPixel-Advanced\\scripts\\remove_onnxruntime.bat")
-        if not is_installed('onnxruntime-gpu'):
+        elif not is_installed('onnxruntime-gpu'):
             install("onnxruntime-gpu>=1.22")
     else:
         if is_installed('onnxruntime-gpu'):
-            uninstall("onnxruntime-gpu")
             print(f"LP >>> Your python has the 'onnxruntime-gpu' library installed, but you don't have a GPU.")
             print(f"LP >>> Solution: If other node packages do not use the 'onnxruntime-gpu' library, then remove the 'onnxruntime-gpu' library for your python.")
             print(f"LP >>> Close ComfyUI and run the script at .\\ComfyUI\\custom_nodes\\ComfyUI-LevelPixel-Advanced\\scripts\\remove_onnxruntime.bat")
-        if not is_installed('onnxruntime'):
+        elif not is_installed('onnxruntime'):
             install("onnxruntime>=1.22")
 
 def init(check_imports=None):

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-levelpixel-advanced"
 description = "Advanced nodes of the Level Pixel company (aka levelpixel, LP). Includes convenient advanced nodes for working with LLM и VLM models (LLaVa, Multimodal Generator) with GGUF format. Qwen2.5-VL and Qwen2.5 supported, based on llama-mtmd. Also included is a node for the RAM model. Nodes have the ability to automatically unload models from VRAM. This package also includes Autotagger (WD), Image Remove Background (based on RMBG-2.0, on BiRefNet, on BiRefNet-HR-Matter, on RemBG). Licensed under GNU GPLv3. Repository: https://github.com/LevelPixel/ComfyUI-LevelPixel-Advanced"
-version = "1.2.8"
+version = "1.2.9"
 license = { file = "LICENSE.txt" }
 dependencies = [
     "torch>=2.0.1", 
@@ -19,8 +19,7 @@ dependencies = [
     "rembg>=2.0.66",
     "diskcache>=5.6.1",
     "jinja2>=2.11.3",
-    "typing-extensions>=4.5.0",
-    "onnxruntime-gpu>=1.22" ]
+    "typing-extensions>=4.5.0" ]
 
 [project.urls]
 Repository = "https://github.com/LevelPixel/ComfyUI-LevelPixel-Advanced"

requirements.txt

@@ -15,5 +15,4 @@ matplotlib
 diskcache>=5.6.1
 jinja2>=2.11.3
 typing-extensions>=4.5.0
-onnxruntime-gpu>=1.22
 ram @ git+https://github.com/xinyu1205/recognize-anything.git