Merge branch 'main' of https://huggingface.co./spaces/fred-dev/comfy_ui_ali into main

app.py

@@ -33,6 +33,15 @@ if __name__ == "__main__":
     os.makedirs("/data/temp/", exist_ok=True)
     os.makedirs("/data/input/", exist_ok=True)
     os.makedirs("/data/user/", exist_ok=True)
+
+    #lets print the contents of the directories and subdirectories from the root directory
+    for root, dirs, files in os.walk("/data"):
+        print("Printing contents of the directory: ", root)
+        for name in files:
+            print(os.path.join(root, name))
+        for name in dirs:
+            print(os.path.join(root, name))
+
     
     #lets print the contents of the directories and subdirectories from the root directory
     for root, dirs, files in os.walk("/data"):

extra_model_paths.yaml

@@ -25,20 +25,20 @@
 
 comfyui:
     base_path: /data/
-    # You can use is_default to mark that these folders should be listed first, and used as the default dirs for eg downloads
-    #is_default: true
-    checkpoints: /data/models/checkpoints/
-    clip: /data/models/clip/
-    clip_vision: /data/models/clip_vision/
-    configs: /data/models/configs/
-    controlnet: /data/models/controlnet/
+    download_model_base: models
+    is_default: true
+    checkpoints: models/checkpoints/
+    clip: models/clip/
+    clip_vision: models/clip_vision/
+    configs: models/configs/
+    controlnet: models/controlnet/
     diffusion_models: |
-                 /data/models/diffusion_models
-                 /data/models/unet
-    embeddings: /data/models/embeddings/
-    loras: /data/models/loras/
-    upscale_models: /data/models/upscale_models/
-    vae: /data/models/vae/
+        models/diffusion_models
+        models/unet
+    embeddings: models/embeddings/
+    loras: models/loras/
+    upscale_models: models/upscale_models/
+    vae: models/vae/
 
 #other_ui:
 #    base_path: path/to/ui

folder_paths.py

@@ -46,10 +46,10 @@ folder_names_and_paths["photomaker"] = ([os.path.join(models_dir, "photomaker")]
 
 folder_names_and_paths["classifiers"] = ([os.path.join(models_dir, "classifiers")], {""})
 
-output_directory = os.path.join("data/", "output")
-temp_directory = os.path.join("data/", "temp")
-input_directory = os.path.join("data/", "input")
-user_directory = os.path.join("data/", "user")
+output_directory = os.path.join("/data/", "output")
+temp_directory = os.path.join("/data/", "temp")
+input_directory = os.path.join("/data/", "input")
+user_directory = os.path.join("/data/", "user")
 
 filename_list_cache: dict[str, tuple[list[str], dict[str, float], float]] = {}