diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
deleted file mode 160000
index a0b96664d..000000000
--- a/extensions/stable-diffusion-webui-inspiration
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit a0b96664d2524b87916ae463fbb65411b13a569b
diff --git a/modules/ui.py b/modules/ui.py
index a73b9ff06..03528968f 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1885,7 +1885,7 @@ def load_javascript(raw_response):
         javascript = f'<script>{jsfile.read()}</script>'
 
     scripts_list = modules.scripts.list_scripts("javascript", ".js")
-    scripts_list += modules.scripts.list_scripts("scripts", ".js")
+    
     for basedir, filename, path in scripts_list:
         with open(path, "r", encoding="utf8") as jsfile:
             javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"
diff --git a/webui.py b/webui.py
index a0f3757f2..ade7334bf 100644
--- a/webui.py
+++ b/webui.py
@@ -9,7 +9,7 @@ from fastapi.middleware.gzip import GZipMiddleware
 
 from modules.paths import script_path
 
-from modules import devices, sd_samplers
+from modules import devices, sd_samplers, upscaler
 import modules.codeformer_model as codeformer
 import modules.extras
 import modules.face_restoration
@@ -73,12 +73,11 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
 
 
 def initialize():
-    modules.scripts.load_scripts()
     if cmd_opts.ui_debug_mode:
-        class enmpty():
-            name = None
-        shared.sd_upscalers = [enmpty()]
+        shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
+        modules.scripts.load_scripts()
         return
+
     modelloader.cleanup_models()
     modules.sd_models.setup_model()
     codeformer.setup_model(cmd_opts.codeformer_models_path)
@@ -86,6 +85,8 @@ def initialize():
     shared.face_restorers.append(modules.face_restoration.FaceRestoration())
     modelloader.load_upscalers()
 
+    modules.scripts.load_scripts()
+
     modules.sd_models.load_model()
     shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
     shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))