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-Impact-Pack/tests/wildcards/find_deep_transitive.py

@@ -0,0 +1,178 @@
+#!/usr/bin/env python3
+"""Find deep transitive wildcard references (5+ levels)"""
+
+import re
+from pathlib import Path
+from collections import defaultdict
+
+# Auto-detect paths
+SCRIPT_DIR = Path(__file__).parent
+IMPACT_PACK_DIR = SCRIPT_DIR.parent
+WILDCARDS_DIR = IMPACT_PACK_DIR / "wildcards"
+CUSTOM_WILDCARDS_DIR = IMPACT_PACK_DIR / "custom_wildcards"
+
+# Build wildcard reference graph
+wildcard_refs = defaultdict(set)  # wildcard -> set of wildcards it references
+wildcard_files = {}  # wildcard_name -> file_path
+
+def normalize_name(name):
+    """Normalize wildcard name"""
+    return name.lower().replace('/', '_').replace('\\', '_')
+
+def find_wildcard_file(name):
+    """Find wildcard file by name"""
+    # Try different variations
+    variations = [
+        name,
+        name.replace('/', '_'),
+        name.replace('\\', '_'),
+    ]
+
+    for var in variations:
+        # Check in wildcards/
+        for ext in ['.txt', '.yaml', '.yml']:
+            path = WILDCARDS_DIR / f"{var}{ext}"
+            if path.exists():
+                return str(path)
+
+        # Check in custom_wildcards/
+        for ext in ['.txt', '.yaml', '.yml']:
+            path = CUSTOM_WILDCARDS_DIR / f"{var}{ext}"
+            if path.exists():
+                return str(path)
+
+    return None
+
+def scan_wildcards():
+    """Scan all wildcard files and build reference graph"""
+    print("Scanning wildcard files...")
+
+    # Find all wildcard files
+    for base_dir in [WILDCARDS_DIR, CUSTOM_WILDCARDS_DIR]:
+        for ext in ['*.txt', '*.yaml', '*.yml']:
+            for file_path in base_dir.rglob(ext):
+                # Get wildcard name from file path
+                rel_path = file_path.relative_to(base_dir)
+                name = str(rel_path.with_suffix('')).replace('/', '_').replace('\\', '_')
+                wildcard_files[normalize_name(name)] = str(file_path)
+
+                # Find references in file
+                try:
+                    content = file_path.read_text(encoding='utf-8', errors='ignore')
+                    refs = re.findall(r'__([^_]+(?:/[^_]+)*)__', content)
+
+                    for ref in refs:
+                        ref_normalized = normalize_name(ref)
+                        if ref_normalized and ref_normalized != '':
+                            wildcard_refs[normalize_name(name)].add(ref_normalized)
+                except Exception as e:
+                    print(f"Error reading {file_path}: {e}")
+
+    print(f"Found {len(wildcard_files)} wildcard files")
+    print(f"Found {sum(len(refs) for refs in wildcard_refs.values())} references")
+    print()
+
+def find_max_depth(start_wildcard, visited=None, path=None):
+    """Find maximum depth of transitive references starting from a wildcard"""
+    if visited is None:
+        visited = set()
+    if path is None:
+        path = []
+
+    if start_wildcard in visited:
+        return 0, path  # Cycle detected
+
+    visited.add(start_wildcard)
+    path.append(start_wildcard)
+
+    refs = wildcard_refs.get(start_wildcard, set())
+
+    if not refs:
+        return 1, path  # Leaf node
+
+    max_depth = 0
+    max_path = path.copy()
+
+    for ref in refs:
+        if ref in wildcard_files:  # Only follow if target exists
+            depth, sub_path = find_max_depth(ref, visited.copy(), path.copy())
+            if depth > max_depth:
+                max_depth = depth
+                max_path = sub_path
+
+    return max_depth + 1, max_path
+
+def main():
+    scan_wildcards()
+
+    # Find wildcards with references
+    wildcards_with_refs = [(name, refs) for name, refs in wildcard_refs.items() if refs]
+
+    print(f"Analyzing {len(wildcards_with_refs)} wildcards with references...")
+    print()
+
+    # Calculate depth for each wildcard
+    depths = []
+    for name, refs in wildcards_with_refs:
+        depth, path = find_max_depth(name)
+        if depth >= 2:  # At least one level of transitive reference
+            depths.append((depth, name, path))
+
+    # Sort by depth (deepest first)
+    depths.sort(reverse=True)
+
+    print("=" * 80)
+    print("WILDCARD REFERENCE DEPTH ANALYSIS")
+    print("=" * 80)
+    print()
+
+    # Show top 20 deepest
+    print("Top 20 Deepest Transitive References:")
+    print()
+    for i, (depth, name, path) in enumerate(depths[:20], 1):
+        print(f"{i}. Depth {depth}: __{name}__")
+        print(f"   Path: {' → '.join(f'__{p}__' for p in path)}")
+        if name in wildcard_files:
+            print(f"   File: {wildcard_files[name]}")
+        print()
+
+    # Find 5+ depth wildcards
+    deep_wildcards = [(depth, name, path) for depth, name, path in depths if depth >= 5]
+
+    print()
+    print("=" * 80)
+    print(f"WILDCARDS WITH 5+ DEPTH ({len(deep_wildcards)} found)")
+    print("=" * 80)
+    print()
+
+    if deep_wildcards:
+        for depth, name, path in deep_wildcards:
+            print(f"🎯 __{name}__ (Depth: {depth})")
+            print(f"   Chain: {' → '.join(f'__{p}__' for p in path)}")
+            if name in wildcard_files:
+                print(f"   File: {wildcard_files[name]}")
+            print()
+
+        print()
+        print("=" * 80)
+        print("RECOMMENDED TEST CASE")
+        print("=" * 80)
+        print()
+        depth, name, path = deep_wildcards[0]
+        print(f"Use __{name}__ for testing deep transitive loading")
+        print(f"Depth: {depth} levels")
+        print(f"Chain: {' → '.join(f'__{p}__' for p in path)}")
+        print()
+        print(f"Test input: \"__{name}__\"")
+        print(f"Expected: Will resolve through {depth} levels to actual content")
+    else:
+        print("No wildcards with 5+ depth found.")
+        print()
+        if depths:
+            depth, name, path = depths[0]
+            print(f"Maximum depth found: {depth}")
+            print(f"Wildcard: __{name}__")
+            print(f"Chain: {' → '.join(f'__{p}__' for p in path)}")
+
+if __name__ == "__main__":
+    main()