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.py

@@ -0,0 +1,33 @@
+"""The Context node."""
+from .context_utils import (ORIG_CTX_OPTIONAL_INPUTS, ORIG_CTX_RETURN_NAMES, ORIG_CTX_RETURN_TYPES,
+                            get_orig_context_return_tuple, new_context)
+from .constants import get_category, get_name
+
+
+class RgthreeContext:
+  """The initial Context node.
+
+  For now, this nodes' outputs will remain as-is, as they are perfect for most 1.5 application, but
+  is also backwards compatible with other Context nodes.
+  """
+
+  NAME = get_name("Context")
+  CATEGORY = get_category()
+
+  @classmethod
+  def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstring
+    return {
+      "required": {},
+      "optional": ORIG_CTX_OPTIONAL_INPUTS,
+      "hidden": {
+        "version": "FLOAT"
+      },
+    }
+
+  RETURN_TYPES = ORIG_CTX_RETURN_TYPES
+  RETURN_NAMES = ORIG_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_orig_context_return_tuple(ctx)