diff --git a/3D/BlockbenchModels/Tank/TankTextures.pxc b/3D/BlockbenchModels/Tank/TankTextures.pxc
index c9c10f48..b6b1ee16 100644
Binary files a/3D/BlockbenchModels/Tank/TankTextures.pxc and b/3D/BlockbenchModels/Tank/TankTextures.pxc differ
diff --git a/3D/BlockbenchModels/Tank/TankTextures.pxc1 b/3D/BlockbenchModels/Tank/TankTextures.pxc1
index fc313286..030991f8 100644
Binary files a/3D/BlockbenchModels/Tank/TankTextures.pxc1 and b/3D/BlockbenchModels/Tank/TankTextures.pxc1 differ
diff --git a/3D/BlockbenchModels/Tank/Tank_3D_Huge.tscn b/3D/BlockbenchModels/Tank/Tank_3D_Huge.tscn
index be4c54ae..a766cbc3 100644
--- a/3D/BlockbenchModels/Tank/Tank_3D_Huge.tscn
+++ b/3D/BlockbenchModels/Tank/Tank_3D_Huge.tscn
@@ -3,12 +3,12 @@
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+transform = Transform3D(1, 0, 0, 0, 1, 0, 0, 0, 1, 0.059478506, 0.06216401, -0.009487152)
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diff --git a/3D/BlockbenchModels/Tank/Tank_Huge.bbmodel b/3D/BlockbenchModels/Tank/Tank_Huge.bbmodel
index f3446699..06bdd5be 100644
--- a/3D/BlockbenchModels/Tank/Tank_Huge.bbmodel
+++ b/3D/BlockbenchModels/Tank/Tank_Huge.bbmodel
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diff --git a/3D/BlockbenchModels/Tank/Tank_Huge.gltf b/3D/BlockbenchModels/Tank/Tank_Huge.gltf
index d0913c1f..6f3fb2a6 100644
--- a/3D/BlockbenchModels/Tank/Tank_Huge.gltf
+++ b/3D/BlockbenchModels/Tank/Tank_Huge.gltf
@@ -1 +1 @@
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"}],"meshes":[{"primitives":[{"mode":4,"attributes":{"POSITION":0,"NORMAL":1,"TEXCOORD_0":2},"indices":3,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":4,"NORMAL":5,"TEXCOORD_0":6},"indices":7,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":8,"NORMAL":9,"TEXCOORD_0":10},"indices":11,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":12,"NORMAL":13,"TEXCOORD_0":14},"indices":15,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":16,"NORMAL":17,"TEXCOORD_0":18},"indices":19,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":20,"NORMAL":21,"TEXCOORD_0":22},"indices":23,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":24,"NORMAL":25,"TEXCOORD_0":26},"indices":27,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":28,"NORMAL":29,"TEXCOORD_0":30},"indices":31,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":32,"NORMAL":33,"TEXCOORD_0":34},"indices":35,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":36,"NORMAL":37,"TEXCOORD_0":38},"indices":39,"material":0}]},{"primitives":[{"mode":4,"attributes":{"POSITION":40,"NORMAL":41,"TEXCOORD_0":42},"indices":43,"material":0}]}]}
\ No newline at end of file
diff --git a/3D/BlockbenchModels/Tank/Tank_Huge.gltf.import b/3D/BlockbenchModels/Tank/Tank_Huge.gltf.import
index 1d807f48..578664dd 100644
--- a/3D/BlockbenchModels/Tank/Tank_Huge.gltf.import
+++ b/3D/BlockbenchModels/Tank/Tank_Huge.gltf.import
@@ -15,9 +15,11 @@ dest_files=["res://.godot/imported/Tank_Huge.gltf-79130750b7a476964a9a383654e6b3
 
 nodes/root_type=""
 nodes/root_name=""
+nodes/root_script=null
 nodes/apply_root_scale=true
 nodes/root_scale=1.0
 nodes/import_as_skeleton_bones=false
+nodes/use_name_suffixes=true
 nodes/use_node_type_suffixes=true
 meshes/ensure_tangents=true
 meshes/generate_lods=true
@@ -32,6 +34,9 @@ animation/trimming=false
 animation/remove_immutable_tracks=true
 animation/import_rest_as_RESET=false
 import_script/path=""
+materials/extract=0
+materials/extract_format=0
+materials/extract_path=""
 _subresources={}
 gltf/naming_version=1
 gltf/embedded_image_handling=1
diff --git a/3D/BlockbenchModels/Tank/Tank_Huge_0.png b/3D/BlockbenchModels/Tank/Tank_Huge_0.png
index b65ad2fa..b06ccf07 100644
--- a/3D/BlockbenchModels/Tank/Tank_Huge_0.png
+++ b/3D/BlockbenchModels/Tank/Tank_Huge_0.png
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71271781f2a3060ee614eb7ac7ec26ba8c32ed3592a4585df3c12592660a2296
-size 14689
+oid sha256:18af5acd2cc626912b49ef4c2bff0094fe1ace63ac589f8f74a77dfdfb2bde90
+size 16524
diff --git a/3D/BlockbenchModels/Tank/Tank_Huge_0.png.import b/3D/BlockbenchModels/Tank/Tank_Huge_0.png.import
index dec6b0bc..883fbfec 100644
--- a/3D/BlockbenchModels/Tank/Tank_Huge_0.png.import
+++ b/3D/BlockbenchModels/Tank/Tank_Huge_0.png.import
@@ -8,7 +8,7 @@ metadata={
 "vram_texture": false
 }
 generator_parameters={
-"md5": "910c2db3e0f6de9ce8111d9c9efee643"
+"md5": "241eae750d2d1795c2ef8e4c20e6592c"
 }
 
 [deps]
@@ -21,6 +21,8 @@ dest_files=["res://.godot/imported/Tank_Huge_0.png-679a2621e8e2542cc97cb510dbc47
 compress/mode=3
 compress/high_quality=false
 compress/lossy_quality=0.7
+compress/uastc_level=0
+compress/rdo_quality_loss=0.0
 compress/hdr_compression=1
 compress/normal_map=0
 compress/channel_pack=0
@@ -28,6 +30,10 @@ mipmaps/generate=true
 mipmaps/limit=-1
 roughness/mode=0
 roughness/src_normal=""
+process/channel_remap/red=0
+process/channel_remap/green=1
+process/channel_remap/blue=2
+process/channel_remap/alpha=3
 process/fix_alpha_border=true
 process/premult_alpha=false
 process/normal_map_invert_y=false
diff --git a/3D/BlockbenchModels/Tank/Tank_Huge_Texture_Dirty.png b/3D/BlockbenchModels/Tank/Tank_Huge_Texture_Dirty.png
index 0d15f82e..dfb26aa6 100644
--- a/3D/BlockbenchModels/Tank/Tank_Huge_Texture_Dirty.png
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diff --git a/3D/BlockbenchModels/Tubes/Tube_Corner.gltf b/3D/BlockbenchModels/Tubes/Tube_Corner.gltf
index 9bb5faf0..dde72531 100644
--- a/3D/BlockbenchModels/Tubes/Tube_Corner.gltf
+++ b/3D/BlockbenchModels/Tubes/Tube_Corner.gltf
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"}],"meshes":[{"primitives":[{"mode":4,"attributes":{"POSITION":0,"NORMAL":1,"TEXCOORD_0":2},"indices":3,"material":0}]}]}
\ No newline at end of file
diff --git a/3D/BlockbenchModels/Tubes/Tube_Corner.gltf.import b/3D/BlockbenchModels/Tubes/Tube_Corner.gltf.import
index d0af8e4e..053842f1 100644
--- a/3D/BlockbenchModels/Tubes/Tube_Corner.gltf.import
+++ b/3D/BlockbenchModels/Tubes/Tube_Corner.gltf.import
@@ -15,9 +15,11 @@ dest_files=["res://.godot/imported/Tube_Corner.gltf-bf491d5e35bdc28dd2f8f96aac78
 
 nodes/root_type=""
 nodes/root_name=""
+nodes/root_script=null
 nodes/apply_root_scale=true
 nodes/root_scale=1.0
 nodes/import_as_skeleton_bones=false
+nodes/use_name_suffixes=true
 nodes/use_node_type_suffixes=true
 meshes/ensure_tangents=true
 meshes/generate_lods=true
@@ -32,6 +34,9 @@ animation/trimming=false
 animation/remove_immutable_tracks=true
 animation/import_rest_as_RESET=false
 import_script/path=""
+materials/extract=0
+materials/extract_format=0
+materials/extract_path=""
 _subresources={}
 gltf/naming_version=1
 gltf/embedded_image_handling=1
diff --git a/3D/BlockbenchModels/Tubes/Tube_Corner_0.png b/3D/BlockbenchModels/Tubes/Tube_Corner_0.png
index dbe3694c..1556f673 100644
--- a/3D/BlockbenchModels/Tubes/Tube_Corner_0.png
+++ b/3D/BlockbenchModels/Tubes/Tube_Corner_0.png
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37ee4f60c7528fc09992d21a33cb31391328300f4a59e8b0b9e29726346f850f
-size 773
+oid sha256:c132bc5505b9c2c11e438ced88841340b9d06f35c13c338ebd13f2b5bae964b7
+size 3764
diff --git a/3D/BlockbenchModels/Tubes/Tube_Corner_0.png.import b/3D/BlockbenchModels/Tubes/Tube_Corner_0.png.import
index 8afb0f05..171936e3 100644
--- a/3D/BlockbenchModels/Tubes/Tube_Corner_0.png.import
+++ b/3D/BlockbenchModels/Tubes/Tube_Corner_0.png.import
@@ -18,6 +18,8 @@ dest_files=["res://.godot/imported/Tube_Corner_0.png-d0893bdeea2fac515621044870c
 compress/mode=3
 compress/high_quality=false
 compress/lossy_quality=0.7
+compress/uastc_level=0
+compress/rdo_quality_loss=0.0
 compress/hdr_compression=1
 compress/normal_map=0
 compress/channel_pack=0
@@ -25,6 +27,10 @@ mipmaps/generate=true
 mipmaps/limit=-1
 roughness/mode=0
 roughness/src_normal=""
+process/channel_remap/red=0
+process/channel_remap/green=1
+process/channel_remap/blue=2
+process/channel_remap/alpha=3
 process/fix_alpha_border=true
 process/premult_alpha=false
 process/normal_map_invert_y=false
diff --git a/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png b/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png
index c34bc10e..72f91ef5 100644
--- a/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png
+++ b/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:315b66d0944f7fe626f3fa82a3a20437dcfc2b18d62b4b2d203da2afab727c10
-size 656
+oid sha256:fe0a57b0745de9cf6083f1d128d382f9fb41b867bce0728eb8fba393cfa56872
+size 3416
diff --git a/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png.import b/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png.import
index c493b067..b345ee41 100644
--- a/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png.import
+++ b/3D/BlockbenchModels/Tubes/Tube_Corner_Texture.png.import
@@ -18,6 +18,8 @@ dest_files=["res://.godot/imported/Tube_Corner_Texture.png-d6ffa5570656db8508172
 compress/mode=3
 compress/high_quality=false
 compress/lossy_quality=0.7
+compress/uastc_level=0
+compress/rdo_quality_loss=0.0
 compress/hdr_compression=1
 compress/normal_map=0
 compress/channel_pack=0
@@ -25,6 +27,10 @@ mipmaps/generate=true
 mipmaps/limit=-1
 roughness/mode=0
 roughness/src_normal=""
+process/channel_remap/red=0
+process/channel_remap/green=1
+process/channel_remap/blue=2
+process/channel_remap/alpha=3
 process/fix_alpha_border=true
 process/premult_alpha=false
 process/normal_map_invert_y=false
diff --git a/3D/MapModels/actor_tank_large.glb b/3D/MapModels/actor_tank_large.glb
index f96e2896..559deddc 100644
Binary files a/3D/MapModels/actor_tank_large.glb and b/3D/MapModels/actor_tank_large.glb differ
diff --git a/3D/MapModels/actor_tube_corner.glb b/3D/MapModels/actor_tube_corner.glb
index 0a61e313..2a13d323 100644
Binary files a/3D/MapModels/actor_tube_corner.glb and b/3D/MapModels/actor_tube_corner.glb differ
diff --git a/3D/Maps/Factory2.map b/3D/Maps/Factory2.map
index e66f5b8d..85b4404d 100644
--- a/3D/Maps/Factory2.map
+++ b/3D/Maps/Factory2.map
@@ -3240,6 +3240,22 @@
 }
 // entity 230
 {
+"classname" "actor_tube_straight_long"
+"origin" "176 -272 40"
+}
+// entity 231
+{
+"classname" "actor_tube_corner"
+"origin" "176 -296 40"
+}
+// entity 232
+{
+"classname" "actor_tube_corner"
+"origin" "176 -248 40"
+"angles" "0 90 0"
+}
+// entity 233
+{
 "classname" "func_group"
 "_tb_type" "_tb_layer"
 "_tb_name" "Solid"
@@ -5523,282 +5539,282 @@
 ( -296 -928 96 ) ( -296 -929 96 ) ( -296 -928 97 ) Floors/Floor255 [ 0 -1 0 0 ] [ 0 0 1 0 ] 180 1 -1
 }
 }
-// entity 231
+// entity 234
 {
 "classname" "actor_box_wood"
 "origin" "172 -96 20"
 "_tb_layer" "3"
 }
-// entity 232
+// entity 235
 {
 "classname" "actor_box_blue"
 "origin" "-80 -96 28"
 "_tb_layer" "3"
 }
-// entity 233
+// entity 236
 {
 "classname" "actor_box_red"
 "origin" "-80 -88 20"
 "_tb_layer" "3"
 }
-// entity 234
+// entity 237
 {
 "classname" "actor_terminal"
 "origin" "-60 -152 28"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 235
+// entity 238
 {
 "classname" "actor_ac_unit"
 "origin" "-32 -156 24"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 236
+// entity 239
 {
 "classname" "actor_table"
 "origin" "-56 -152 20"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 237
+// entity 240
 {
 "classname" "actor_box_wood"
 "origin" "-72 -116 20"
 "angles" "0 -30 0"
 "_tb_layer" "3"
 }
-// entity 238
+// entity 241
 {
 "classname" "actor_table"
 "origin" "-8 -92 20"
 "_tb_layer" "3"
 }
-// entity 239
+// entity 242
 {
 "classname" "actor_box_wood"
 "origin" "-84 -152 20"
 "_tb_layer" "3"
 }
-// entity 240
+// entity 243
 {
 "classname" "actor_box_wood"
 "origin" "-76 -152 20"
 "_tb_layer" "3"
 }
-// entity 241
+// entity 244
 {
 "classname" "actor_box_wood"
 "origin" "-80 -104 20"
 "_tb_layer" "3"
 }
-// entity 242
+// entity 245
 {
 "classname" "actor_tank"
 "origin" "168 -544 64"
 "_tb_layer" "3"
 }
-// entity 243
+// entity 246
 {
 "classname" "actor_tank"
 "origin" "168 -576 64"
 "_tb_layer" "3"
 }
-// entity 244
+// entity 247
 {
 "classname" "actor_box_wood"
 "origin" "160 -600 60"
 "_tb_layer" "3"
 }
-// entity 245
+// entity 248
 {
 "classname" "actor_box_wood"
 "origin" "160 -616 60"
 "_tb_layer" "3"
 }
-// entity 246
+// entity 249
 {
 "classname" "actor_box_red"
 "origin" "164 -632 60"
 "_tb_layer" "3"
 }
-// entity 247
+// entity 250
 {
 "classname" "actor_box_blue"
 "origin" "164 -632 68"
 "_tb_layer" "3"
 }
-// entity 248
+// entity 251
 {
 "classname" "actor_box_wood"
 "origin" "276 -192 20"
 "_tb_layer" "3"
 }
-// entity 249
+// entity 252
 {
 "classname" "actor_elevator_1"
 "origin" "216 -376 15"
 "_tb_layer" "3"
 }
-// entity 250
+// entity 253
 {
 "classname" "actor_tube_straight"
 "origin" "-80 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 251
+// entity 254
 {
 "classname" "actor_tube_straight"
 "origin" "-64 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 252
+// entity 255
 {
 "classname" "actor_tube_straight"
 "origin" "-48 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 253
+// entity 256
 {
 "classname" "actor_tube_straight"
 "origin" "-32 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 254
+// entity 257
 {
 "classname" "actor_tube_straight"
 "origin" "-16 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 255
+// entity 258
 {
 "classname" "actor_tube_straight"
 "origin" "0 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 256
+// entity 259
 {
 "classname" "actor_tube_straight"
 "origin" "16 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 257
+// entity 260
 {
 "classname" "actor_tube_straight"
 "origin" "32 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 258
+// entity 261
 {
 "classname" "actor_tube_straight"
 "origin" "48 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 259
+// entity 262
 {
 "classname" "actor_tube_straight"
 "origin" "64 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 260
+// entity 263
 {
 "classname" "actor_tube_straight"
 "origin" "80 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 261
+// entity 264
 {
 "classname" "actor_tube_straight"
 "origin" "96 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 262
+// entity 265
 {
 "classname" "actor_tube_straight"
 "origin" "112 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 263
+// entity 266
 {
 "classname" "actor_tube_straight"
 "origin" "128 -48 -16"
 "angle" "270"
 "_tb_layer" "3"
 }
-// entity 264
+// entity 267
 {
 "classname" "actor_tube_corner"
 "origin" "144 -48 -16"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 265
+// entity 268
 {
 "classname" "actor_tank"
 "origin" "-216 -32 -16"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 266
+// entity 269
 {
 "classname" "actor_tube_straight"
 "origin" "-200 -32 -16"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 267
+// entity 270
 {
 "classname" "actor_tube_straight"
 "origin" "-184 -32 -16"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 268
+// entity 271
 {
 "classname" "actor_tube_straight"
 "origin" "-152 -32 -16"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 269
+// entity 272
 {
 "classname" "actor_barrel_1"
 "origin" "-252 -8 -16"
 "_tb_layer" "3"
 }
-// entity 270
+// entity 273
 {
 "classname" "actor_box_red"
 "origin" "-264 -24 -20"
 "_tb_layer" "3"
 }
-// entity 271
+// entity 274
 {
 "classname" "actor_box_red"
 "origin" "-264 -24 -12"
 "_tb_layer" "3"
 }
-// entity 272
+// entity 275
 {
 "classname" "actor_box_green"
 "origin" "-264 -8 -20"
 "_tb_layer" "3"
 }
-// entity 273
+// entity 276
 {
 "classname" "func_group"
 "_tb_type" "_tb_group"
@@ -5817,7 +5833,7 @@
 ( -248 -64 0 ) ( -248 -64 1 ) ( -248 -63 0 ) special/clip [ -8.269460797427576e-16 1 0 0 ] [ 0 0 -1 -8 ] 270 1 1
 }
 }
-// entity 274
+// entity 277
 {
 "classname" "func_group"
 "_tb_type" "_tb_group"
@@ -5835,122 +5851,122 @@
 ( -104 -208 48 ) ( -104 -208 49 ) ( -104 -207 48 ) Manual/Blue_Panel_Wall_Thin [ 0 1 0 8 ] [ 0 0 -1 -16 ] 0 1 1
 }
 }
-// entity 275
+// entity 278
 {
 "classname" "actor_capacitor_mini"
-"origin" "-248 104 -16"
+"origin" "-184 -8 -16"
 "_tb_layer" "3"
 }
-// entity 276
+// entity 279
 {
 "classname" "actor_tank_large"
 "origin" "-304 -24 -8"
 "_tb_layer" "3"
 }
-// entity 277
+// entity 280
 {
 "classname" "actor_chest_1"
 "origin" "-252 -24 -16"
 "_tb_layer" "3"
 }
-// entity 278
+// entity 281
 {
 "classname" "actor_chest_1"
 "origin" "40 -200 24"
 "_tb_layer" "3"
 }
-// entity 279
+// entity 282
 {
 "classname" "actor_elevator_1"
 "origin" "-168 112 -25"
 "targetname" "elevator_2"
 "_tb_layer" "3"
 }
-// entity 280
+// entity 283
 {
 "classname" "actor_terminal_big"
 "origin" "92 -248 28"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 281
+// entity 284
 {
 "classname" "actor_barrel_1"
 "origin" "180 -260 24"
 "_tb_layer" "3"
 }
-// entity 282
+// entity 285
 {
 "classname" "actor_barrel_1"
 "origin" "176 -300 24"
 "_tb_layer" "3"
 }
-// entity 283
+// entity 286
 {
 "classname" "actor_barrel_1"
 "origin" "188 -120 24"
 "_tb_layer" "3"
 }
-// entity 284
+// entity 287
 {
 "classname" "actor_barrel_1"
 "origin" "-256 -36 -16"
 "_tb_layer" "3"
 }
-// entity 285
+// entity 288
 {
 "classname" "actor_barrel_1"
 "origin" "-300 56 -16"
 "_tb_layer" "3"
 }
-// entity 286
+// entity 289
 {
 "classname" "actor_barrel_1"
 "origin" "-300 68 -16"
 "_tb_layer" "3"
 }
-// entity 287
+// entity 290
 {
 "classname" "actor_barrel_1"
 "origin" "-292 64 -16"
 "_tb_layer" "3"
 }
-// entity 288
+// entity 291
 {
 "classname" "actor_tube_straight"
 "origin" "-168 -32 -16"
 "angle" "90"
 "_tb_layer" "3"
 }
-// entity 289
+// entity 292
 {
 "classname" "actor_tube_straight"
 "origin" "-128 48 -32"
 "angles" "0 0 90"
 "_tb_layer" "3"
 }
-// entity 290
+// entity 293
 {
 "classname" "actor_tube_straight"
 "origin" "-128 48 -48"
 "angles" "0 0 90"
 "_tb_layer" "3"
 }
-// entity 291
+// entity 294
 {
 "classname" "actor_tube_straight"
 "origin" "-128 64 -36"
 "angles" "0 0 90"
 "_tb_layer" "3"
 }
-// entity 292
+// entity 295
 {
 "classname" "actor_tube_straight"
 "origin" "-128 64 -52"
 "angles" "0 0 90"
 "_tb_layer" "3"
 }
-// entity 293
+// entity 296
 {
 "classname" "actor_capacitor_mini"
 "origin" "8 320 -16"
@@ -5958,7 +5974,7 @@
 "activationtype" "Open"
 "_tb_layer" "3"
 }
-// entity 294
+// entity 297
 {
 "classname" "func_group"
 "_tb_type" "_tb_layer"
@@ -5967,7 +5983,7 @@
 "_tb_layer_sort_index" "1"
 "_tb_layer_hidden" "1"
 }
-// entity 295
+// entity 298
 {
 "classname" "func_shroud"
 "targetname" "secret_door_1"
@@ -5983,7 +5999,7 @@
 ( 0 480 24 ) ( 0 480 25 ) ( 0 481 24 ) Manual/Black [ 0 1 0 0 ] [ 0 0 -1 0 ] 90 1 1
 }
 }
-// entity 296
+// entity 299
 {
 "classname" "func_shroud"
 "targetname" "secret_door_1"
@@ -5999,7 +6015,7 @@
 ( -84 376 24 ) ( -84 376 25 ) ( -84 377 24 ) Manual/Black [ 0 1 0 0 ] [ 0 0 -1 0 ] 90 1 1
 }
 }
-// entity 297
+// entity 300
 {
 "classname" "func_shroud"
 "targetname" "door5"
@@ -6015,7 +6031,7 @@
 ( 344 -112 64 ) ( 344 -112 65 ) ( 344 -111 64 ) Manual/Black [ 0 1 0 0 ] [ 0 0 -1 0 ] 180 1 1
 }
 }
-// entity 298
+// entity 301
 {
 "classname" "func_shroud"
 "targetname" "secret_door_1"
@@ -6031,7 +6047,7 @@
 ( -84 320 24 ) ( -84 320 25 ) ( -84 321 24 ) Manual/Black [ 0 1 0 0 ] [ 0 0 -1 0 ] 0 1 1
 }
 }
-// entity 299
+// entity 302
 {
 "classname" "func_shroud"
 "targetname" "secret_door_2"
diff --git a/3D/TrenchBroom/EntityDefinitions/point/actors/Actor_Tank_Large.tres b/3D/TrenchBroom/EntityDefinitions/point/actors/Actor_Tank_Large.tres
index a862b554..68261d75 100644
--- a/3D/TrenchBroom/EntityDefinitions/point/actors/Actor_Tank_Large.tres
+++ b/3D/TrenchBroom/EntityDefinitions/point/actors/Actor_Tank_Large.tres
@@ -6,26 +6,15 @@
 
 [resource]
 script = ExtResource("3_cbmk6")
-target_map_editor = 0
-models_sub_folder = ""
-scale_expression = ""
-generate_size_property = false
+target_map_editor = 1
 rotation_offset = Vector3(0, 180, 0)
-generate_gd_ignore_file = false
 scene_file = ExtResource("2_0u3k1")
-apply_rotation_on_map_build = true
 apply_scale_on_map_build = false
 classname = "actor_tank_large"
 description = "Large Tank"
-func_godot_internal = false
 base_classes = Array[Resource]([ExtResource("1_0u3k1")])
-class_properties = {}
-class_property_descriptions = {}
-auto_apply_to_matching_node_properties = false
 meta_properties = {
-"size": AABB(-32, -16, -16, 32, 16, 16),
-"studio": "\"3D\\MapModels/actor_tank_large.glb\""
+"model": "\"3D/MapModels/actor_tank_large.glb\"",
+"size": AABB(-32, -16, -16, 32, 16, 16)
 }
-node_class = ""
-name_property = ""
 metadata/_custom_type_script = "uid://c83r7t467hm4m"
diff --git a/IsoTest/IsoMapTest2.tscn b/IsoTest/IsoMapTest2.tscn
index 34c8dfeb..19a64380 100644
--- a/IsoTest/IsoMapTest2.tscn
+++ b/IsoTest/IsoMapTest2.tscn
@@ -65,7 +65,7 @@ script = ExtResource("16_e2nai")
 
 [node name="Camera3D" type="Camera3D" parent="."]
 physics_interpolation_mode = 1
-transform = Transform3D(0.7071068, -0.49999994, 0.5000001, 0, 0.70710695, 0.7071067, -0.7071068, -0.49999994, 0.5000001, 83.9836, 7.935, -24.00831)
+transform = Transform3D(0.70710677, -0.49999994, 0.5, 0, 0.7071068, 0.7071067, -0.70710677, -0.49999994, 0.5, 83.9836, 7.935, -24.00831)
 projection = 1
 size = 7.537
 script = ExtResource("1_g4gcm")
diff --git a/Resources/BulletScripts/Emitter_Blue_Narrow_Cone.tres b/Resources/BulletScripts/Emitter_Blue_Narrow_Cone.tres
index c2e6447b..5fcc94e2 100644
--- a/Resources/BulletScripts/Emitter_Blue_Narrow_Cone.tres
+++ b/Resources/BulletScripts/Emitter_Blue_Narrow_Cone.tres
@@ -1,7 +1,7 @@
 [gd_resource type="Resource" script_class="BulletScript3D" load_steps=6 format=3 uid="uid://cx0rbqwvfmm5w"]
 
 [ext_resource type="Resource" uid="uid://dugnfpcenki5l" path="res://Resources/Bullets/3D/simple_blue_bullet_3D.tres" id="1_7k2by"]
-[ext_resource type="Script" uid="uid://b5s5mjuk1rng5" path="res://Scripts/Resources/TimeModifier.cs" id="2_3hbyi"]
+[ext_resource type="Script" uid="uid://b5s5mjuk1rng5" path="res://Scripts/Resources/TimeModifier.cs" id="2_7k2by"]
 [ext_resource type="Script" uid="uid://bxiprx5nwmpnu" path="res://Scripts/AttackPatterns/ShootingPattern3D.cs" id="3_knai5"]
 [ext_resource type="Script" uid="uid://w8hcpu68ssq" path="res://Scripts/Resources/BulletScripts/BulletScript3D.cs" id="4_ohb2x"]
 
diff --git a/Resources/BulletScripts/Emitter_Trap_Wide_Forward.tres b/Resources/BulletScripts/Emitter_Trap_Wide_Forward.tres
index d2dfec56..7cec7be6 100644
--- a/Resources/BulletScripts/Emitter_Trap_Wide_Forward.tres
+++ b/Resources/BulletScripts/Emitter_Trap_Wide_Forward.tres
@@ -1,7 +1,7 @@
 [gd_resource type="Resource" script_class="BulletScript3D" load_steps=6 format=3 uid="uid://cfhjwydjjjxat"]
 
 [ext_resource type="Resource" uid="uid://qrqsywgiij7i" path="res://Resources/Bullets/3D/simple_enemy_bullet_small_3D.tres" id="1_hnqww"]
-[ext_resource type="Script" uid="uid://b5s5mjuk1rng5" path="res://Scripts/Resources/TimeModifier.cs" id="2_q5dwt"]
+[ext_resource type="Script" uid="uid://b5s5mjuk1rng5" path="res://Scripts/Resources/TimeModifier.cs" id="2_hnqww"]
 [ext_resource type="Script" uid="uid://bxiprx5nwmpnu" path="res://Scripts/AttackPatterns/ShootingPattern3D.cs" id="3_ko0d0"]
 [ext_resource type="Script" uid="uid://w8hcpu68ssq" path="res://Scripts/Resources/BulletScripts/BulletScript3D.cs" id="4_hhjh3"]