fix bug of scan font files

py/evf_sam_ultra.py

@@ -14,7 +14,8 @@ class EVF_SAM_Ultra:
 
     @classmethod
     def INPUT_TYPES(cls):
-        model_list = ["evf-sam2","evf-sam"]
+        # model_list = ["evf-sam2","evf-sam", "evf-sam2-multitask", "evf-sam-multitask"]
+        model_list = ["evf-sam2", "evf-sam"]
         precision_list = ["fp16", "bf16", "fp32"]
         load_in_bit_list = ["full", "8", "4"]
         method_list = ['VITMatte', 'VITMatte(local)', 'PyMatting', 'GuidedFilter', ]
@@ -55,9 +56,9 @@ class EVF_SAM_Ultra:
         else:
             local_files_only = False
 
-        if model == 'evf-sam2':
+        if model == 'evf-sam2' or model == 'evf-sam2-multitask':
             model_type = 'sam2'
-        elif model == 'evf-sam':
+        elif model == 'evf-sam' or model == 'evf-sam-multitask':
             model_type = 'ori'
         else:
             model_type = 'effi'

py/imagefunc.py

@@ -2276,8 +2276,8 @@ def get_resource_dir() -> list:
                 elif line.startswith('FONT_dir='):
                     _fdir = line[line.find('=') + 1:].rstrip().lstrip()
                     for dir in extract_substr_from_str(_fdir):
-                        if os.path.exists(_fdir):
-                            default_font_dir.append(_fdir)
+                        if os.path.exists(dir):
+                            default_font_dir.append(dir)
     except Exception as e:
         log(f'Warning: {resource_dir_ini_file} not found' + f", default directory to be used. ")
 

py/text_image_v2.py

@@ -10,7 +10,6 @@ class TextImage_v2:
 
     @classmethod
     def INPUT_TYPES(self):
-
         (_, FONT_DICT) = get_resource_dir()
         FONT_LIST = list(FONT_DICT.keys())
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui_layerstyle"
 description = "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress."
-version = "1.0.64"
+version = "1.0.65"
 license = "MIT"
 dependencies = ["numpy", "pillow", "torch", "matplotlib", "Scipy", "scikit_image", "scikit_learn", "opencv-contrib-python", "pymatting", "segment_anything", "timm", "addict", "yapf", "colour-science", "wget", "mediapipe", "loguru", "typer_config", "fastapi", "rich", "google-generativeai", "diffusers", "omegaconf", "tqdm", "transformers", "kornia", "image-reward", "ultralytics", "blend_modes", "blind-watermark", "qrcode", "pyzbar", "transparent-background", "huggingface_hub", "accelerate", "bitsandbytes", "torchscale", "wandb", "hydra-core", "psd-tools", "inference-cli[yolo-world]", "inference-gpu[yolo-world]", "onnxruntime"]