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-Crystools/nodes/primitive.py

@@ -0,0 +1,111 @@
+from ..core import BOOLEAN, CATEGORY, STRING, INT, FLOAT, STRING_ML
+
+
+class CBoolean:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "boolean": BOOLEAN,
+            }
+        }
+
+    CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
+    RETURN_TYPES = ("BOOLEAN",)
+    RETURN_NAMES = ("boolean",)
+
+    FUNCTION = "execute"
+
+    def execute(self, boolean=True):
+        return (boolean,)
+
+
+class CText:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "string": STRING,
+            }
+        }
+
+    CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("string",)
+
+    FUNCTION = "execute"
+
+    def execute(self, string=""):
+        return (string,)
+
+
+class CTextML:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "string": STRING_ML,
+            }
+        }
+
+    CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("string",)
+
+    FUNCTION = "execute"
+
+    def execute(self, string=""):
+        return (string,)
+
+
+class CInteger:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "int": INT,
+            }
+        }
+
+    CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
+    RETURN_TYPES = ("INT",)
+    RETURN_NAMES = ("int",)
+
+    FUNCTION = "execute"
+
+    def execute(self, int=True):
+        return (int,)
+
+
+class CFloat:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "float": FLOAT,
+            }
+        }
+
+    CATEGORY = CATEGORY.MAIN.value + CATEGORY.PRIMITIVE.value
+    RETURN_TYPES = ("FLOAT",)
+    RETURN_NAMES = ("float",)
+
+    FUNCTION = "execute"
+
+    def execute(self, float=True):
+        return (float,)