Updated pyproject.toml

nodes/vlm/autotagger_LP.py

@@ -11,7 +11,6 @@ import folder_paths
 import json
 import shutil
 import inspect
-from tqdm import tqdm
 
 sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
 

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 = "1.3.0"
+version = "1.3.1"
 license = { file = "LICENSE.txt" }
 dependencies = [
     "torch>=2.0.1",