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/sdxl_power_prompt_simple.py

@@ -0,0 +1,106 @@
+"""A simpler SDXL Power Prompt that doesn't load Loras, like for negative."""
+import os
+import re
+import folder_paths
+from nodes import MAX_RESOLUTION, LoraLoader
+from comfy_extras.nodes_clip_sdxl import CLIPTextEncodeSDXL
+from .sdxl_power_prompt_postive import RgthreeSDXLPowerPromptPositive
+
+from .log import log_node_warn, log_node_info, log_node_success
+
+from .constants import get_category, get_name
+
+NODE_NAME = get_name('SDXL Power Prompt - Simple / Negative')
+
+
+class RgthreeSDXLPowerPromptSimple(RgthreeSDXLPowerPromptPositive):
+  """A simpler SDXL Power Prompt that doesn't handle Loras."""
+
+  NAME = NODE_NAME
+  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_g': ('STRING', {
+          'multiline': True,
+          'dynamicPrompts': True
+        }),
+        'prompt_l': ('STRING', {
+          'multiline': True,
+          'dynamicPrompts': True
+        }),
+      },
+      'optional': {
+        "opt_clip": ("CLIP",),
+        "opt_clip_width": ("INT", {
+          "forceInput": True,
+          "default": 1024.0,
+          "min": 0,
+          "max": MAX_RESOLUTION
+        }),
+        "opt_clip_height": ("INT", {
+          "forceInput": True,
+          "default": 1024.0,
+          "min": 0,
+          "max": MAX_RESOLUTION
+        }),
+        'insert_embedding': ([
+          'CHOOSE',
+        ] + [os.path.splitext(x)[0] for x in folder_paths.get_filename_list('embeddings')],),
+        'insert_saved': ([
+          'CHOOSE',
+        ] + SAVED_PROMPTS_FILES,),
+        # We'll hide these in the UI for now.
+        "target_width": ("INT", {
+          "default": -1,
+          "min": -1,
+          "max": MAX_RESOLUTION
+        }),
+        "target_height": ("INT", {
+          "default": -1,
+          "min": -1,
+          "max": MAX_RESOLUTION
+        }),
+        "crop_width": ("INT", {
+          "default": -1,
+          "min": -1,
+          "max": MAX_RESOLUTION
+        }),
+        "crop_height": ("INT", {
+          "default": -1,
+          "min": -1,
+          "max": MAX_RESOLUTION
+        }),
+      },
+      'hidden': {
+        'values_insert_saved': (['CHOOSE'] + SAVED_PROMPTS_CONTENT,),
+      }
+    }
+
+  RETURN_TYPES = ('CONDITIONING', 'STRING', 'STRING')
+  RETURN_NAMES = ('CONDITIONING', 'TEXT_G', 'TEXT_L')
+  FUNCTION = 'main'
+
+  def main(self,
+           prompt_g,
+           prompt_l,
+           opt_clip=None,
+           opt_clip_width=None,
+           opt_clip_height=None,
+           insert_embedding=None,
+           insert_saved=None,
+           target_width=-1,
+           target_height=-1,
+           crop_width=-1,
+           crop_height=-1,
+           values_insert_saved=None):
+
+    conditioning = self.get_conditioning(prompt_g, prompt_l, opt_clip, opt_clip_width,
+                                         opt_clip_height, target_width, target_height, crop_width, crop_height)
+    return (conditioning, prompt_g, prompt_l)