fix import issue on Transformers 5.x

py/smol.py

@@ -4,7 +4,6 @@ import torch
 import re
 import folder_paths
 from PIL import Image
-from transformers import AutoProcessor, AutoModelForVision2Seq, AutoTokenizer, AutoModelForCausalLM
 from .imagefunc import log, check_and_download_model, tensor2pil
 
 
@@ -60,6 +59,7 @@ class LS_Load_SmolLM2_Model:
     CATEGORY = '😺dzNodes/LayerUtility'
 
     def load_smollm2_model(self, model, dtype, device):
+        from transformers import AutoTokenizer, AutoModelForCausalLM
         repo_id = smollm2_repo[model]
         model_path = os.path.join("smol", model)
         model_path = check_and_download_model(model_path, repo_id)
@@ -96,6 +96,11 @@ class LS_Load_SmolVLM_Model:
     CATEGORY = '😺dzNodes/LayerUtility'
 
     def load_smolvlm_model(self, model, dtype, device):
+        from transformers import AutoProcessor
+        try:
+            from transformers import AutoModelForVision2Seq
+        except ImportError:
+            from transformers import AutoModelForImageTextToText as AutoModelForVision2Seq
 
         repo_id = smolvlm_repo[model]
         model_path = os.path.join("smol", model)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "ComfyUI_LayerStyle_Advance"
 description = "The nodes detached from ComfyUI Layer Style are mainly those with complex requirements for dependency packages."
-version = "2.0.36"
+version = "2.0.37"
 license = { text = "MIT License" }
 dependencies = ["numpy", "matplotlib", "scikit_image", "scikit_learn", "opencv-contrib-python", "pymatting", "timm", "blend_modes", "transformers", "diffusers", "loguru", "colour-science", "huggingface_hub", "segment_anything", "addict", "omegaconf", "yapf", "wget", "iopath", "mediapipe", "typer_config", "fastapi", "rich", "google-generativeai", "ultralytics", "transparent-background", "accelerate", "onnxruntime", "bitsandbytes", "peft", "protobuf", "hydra-core", "blind-watermark", "qrcode", "pyzbar", "psd-tools", "wandb", "zhipuai", "openai","google-genai", "fastapi","typer-config"]