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/power_prompt_simple.py

@@ -0,0 +1,42 @@
+import os
+import folder_paths
+from nodes import CLIPTextEncode
+from .constants import get_category, get_name
+from .power_prompt import RgthreePowerPrompt
+
+class RgthreePowerPromptSimple(RgthreePowerPrompt):
+
+    NAME=get_name('Power Prompt - Simple')
+    CATEGORY = get_category()
+
+    @classmethod
+    def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstring
+        # Removed Saved Prompts feature; No sure it worked any longer. UI should fail gracefully,
+        # TODO: Rip out saved prompt input data
+        SAVED_PROMPTS_FILES=[]
+        SAVED_PROMPTS_CONTENT=[]
+        return {
+            'required': {
+                'prompt': ('STRING', {'multiline': True, 'dynamicPrompts': True}),
+            },
+            'optional': {
+                "opt_clip": ("CLIP", ),
+                'insert_embedding': (['CHOOSE',] + [os.path.splitext(x)[0] for x in folder_paths.get_filename_list('embeddings')],),
+                'insert_saved': (['CHOOSE',] + SAVED_PROMPTS_FILES,),
+            },
+            'hidden': {
+                'values_insert_saved': (['CHOOSE'] + SAVED_PROMPTS_CONTENT,),
+            }
+        }
+
+    RETURN_TYPES = ('CONDITIONING', 'STRING',)
+    RETURN_NAMES = ('CONDITIONING', 'TEXT',)
+    FUNCTION = 'main'
+
+    def main(self, prompt, opt_clip=None, insert_embedding=None, insert_saved=None, values_insert_saved=None):
+        conditioning=None
+        if opt_clip != None:
+            conditioning = CLIPTextEncode().encode(opt_clip, prompt)[0]
+
+        return (conditioning, prompt)
+