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/rgthree-comfy/py/context_big.py

@@ -0,0 +1,31 @@
+"""The Conmtext big node."""
+from .constants import get_category, get_name
+from .context_utils import (ALL_CTX_OPTIONAL_INPUTS, ALL_CTX_RETURN_NAMES, ALL_CTX_RETURN_TYPES,
+                            new_context, get_context_return_tuple)
+
+
+class RgthreeBigContext:
+  """The Context Big node.
+
+  This context node will expose all context fields as inputs and outputs. It is backwards compatible
+  with other context nodes and can be intertwined with them.
+  """
+
+  NAME = get_name("Context Big")
+  CATEGORY = get_category()
+
+  @classmethod
+  def INPUT_TYPES(cls):  # pylint: disable = invalid-name,missing-function-docstring
+    return {
+      "required": {},
+      "optional": ALL_CTX_OPTIONAL_INPUTS,
+      "hidden": {},
+    }
+
+  RETURN_TYPES = ALL_CTX_RETURN_TYPES
+  RETURN_NAMES = ALL_CTX_RETURN_NAMES
+  FUNCTION = "convert"
+
+  def convert(self, base_ctx=None, **kwargs):  # pylint: disable = missing-function-docstring
+    ctx = new_context(base_ctx, **kwargs)
+    return get_context_return_tuple(ctx)