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/dynamic_context_switch.py

@@ -0,0 +1,39 @@
+"""The original Context Switch."""
+from .constants import get_category, get_name
+from .context_utils import is_context_empty
+from .utils import ByPassTypeTuple, FlexibleOptionalInputType
+
+
+class RgthreeDynamicContextSwitch:
+  """The initial Context Switch node."""
+
+  NAME = get_name("Dynamic Context Switch")
+  CATEGORY = get_category()
+
+  @classmethod
+  def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstring
+    return {
+      "required": {},
+      "optional": FlexibleOptionalInputType("RGTHREE_DYNAMIC_CONTEXT"),
+    }
+
+  RETURN_TYPES = ByPassTypeTuple(("RGTHREE_DYNAMIC_CONTEXT",))
+  RETURN_NAMES = ByPassTypeTuple(("CONTEXT",))
+  FUNCTION = "switch"
+
+  def switch(self, **kwargs):
+    """Chooses the first non-empty Context to output."""
+
+    output_keys = kwargs.get('output_keys', None)
+
+    ctx = None
+    for key, value in kwargs.items():
+      if key.startswith('ctx_') and not is_context_empty(value):
+        ctx = value
+        break
+
+    res = [ctx]
+    output_keys = output_keys.split(',') if output_keys is not None else []
+    for key in output_keys:
+      res.append(ctx[key] if ctx is not None and key in ctx else None)
+    return tuple(res)