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/modules/upscaler.py

@@ -0,0 +1,31 @@
+from PIL import Image
+from usdu_utils import tensor_to_pil, pil_to_tensor
+from comfy_extras.nodes_upscale_model import ImageUpscaleWithModel
+from modules import shared
+
+if (not hasattr(Image, 'Resampling')):  # For older versions of Pillow
+    Image.Resampling = Image
+
+
+class Upscaler:
+
+    def upscale(self, img: Image, scale, selected_model: str = None):
+        if scale == 1.0:
+            return img
+        if (shared.actual_upscaler is None):
+            return img.resize((img.width * scale, img.height * scale), Image.Resampling.LANCZOS)
+        if "execute" in dir(ImageUpscaleWithModel):  
+            # V3 schema: https://github.com/comfyanonymous/ComfyUI/pull/10149
+            (upscaled,) = ImageUpscaleWithModel.execute(shared.actual_upscaler, shared.batch_as_tensor)
+        else:
+            (upscaled,) = ImageUpscaleWithModel().upscale(shared.actual_upscaler, shared.batch_as_tensor)
+        shared.batch = [tensor_to_pil(upscaled, i) for i in range(len(upscaled))]
+        return shared.batch[0]
+
+
+class UpscalerData:
+    name = ""
+    data_path = ""
+
+    def __init__(self):
+        self.scaler = Upscaler()