Add custom nodes, Civitai loras (LFS), and vast.ai setup script

Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

custom_nodes/comfyui_ultimatesdupscale/usdu_patch.py

@@ -0,0 +1,71 @@
+# Make some patches to the script
+from repositories import ultimate_upscale as usdu
+import modules.shared as shared
+import math
+from PIL import Image
+
+
+if (not hasattr(Image, 'Resampling')):  # For older versions of Pillow
+    Image.Resampling = Image
+
+#
+# Instead of using multiples of 64, use multiples of 8
+#
+
+
+def round_length(length, multiple=8):
+    return round(length / multiple) * multiple
+
+
+# Upscaler
+old_init = usdu.USDUpscaler.__init__
+
+
+def new_init(self, p, image, upscaler_index, save_redraw, save_seams_fix, tile_width, tile_height):
+    p.width = round_length(image.width * p.upscale_by)
+    p.height = round_length(image.height * p.upscale_by)
+    old_init(self, p, image, upscaler_index, save_redraw, save_seams_fix, tile_width, tile_height)
+
+
+usdu.USDUpscaler.__init__ = new_init
+
+# Redraw
+old_setup_redraw = usdu.USDURedraw.init_draw
+
+
+def new_setup_redraw(self, p, width, height):
+    mask, draw = old_setup_redraw(self, p, width, height)
+    p.width = round_length(self.tile_width + self.padding)
+    p.height = round_length(self.tile_height + self.padding)
+    return mask, draw
+
+
+usdu.USDURedraw.init_draw = new_setup_redraw
+
+# Seams fix
+old_setup_seams_fix = usdu.USDUSeamsFix.init_draw
+
+
+def new_setup_seams_fix(self, p):
+    old_setup_seams_fix(self, p)
+    p.width = round_length(self.tile_width + self.padding)
+    p.height = round_length(self.tile_height + self.padding)
+
+
+usdu.USDUSeamsFix.init_draw = new_setup_seams_fix
+
+
+#
+# Make the script upscale on a batch of images instead of one image
+#
+
+old_upscale = usdu.USDUpscaler.upscale
+
+
+def new_upscale(self):
+    old_upscale(self)
+    shared.batch = [self.image] + \
+        [img.resize((self.p.width, self.p.height), resample=Image.LANCZOS) for img in shared.batch[1:]]
+
+
+usdu.USDUpscaler.upscale = new_upscale