Fix: flatten comfyui and ltx-video-pipeline to Gitea convention (flat skill dirs). comfyui v5.1.0, ltx-video-pipeline v2.0.0.

2026-07-22 16:19:32 -05:00
parent d94132f4ca
commit d824f865c1
61 changed files with 184 additions and 674 deletions
@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+"""Scan LTX Director output videos and map them to scenes.
+
+Usage: python3 scan_videos.py [output_dir]
+
+Extracts from each LTX_Director_*.mp4:
+- Scene number (from start_frame in prompt metadata)
+- Model type (fp8+LoRAs, Q4, or unknown)
+- Resolution and duration
+- Whether Transition LoRA is wired (LoraLoaderModelOnly in prompt)
+- Whether zhuanchang trigger is present
+- File size
+"""
+
+import subprocess, os, re, sys
+
+outdir = sys.argv[1] if len(sys.argv) > 1 else os.path.expanduser("~/comfy-ui/output/video")
+files = sorted([f for f in os.listdir(outdir) if f.startswith("LTX_Director_") and f.endswith(".mp4")])
+
+print(f"{'File':40s} | {'Resolution':20s} | {'Scene':10s} | {'Model':12s} | {'Trans':6s} | {'zhuanchang':10s} | {'Size':>8s}")
+print("-" * 120)
+
+for f in files:
+    path = os.path.join(outdir, f)
+    
+    # Resolution and duration
+    r = subprocess.run(["ffprobe", "-v", "quiet", "-select_streams", "v:0",
+                        "-show_entries", "stream=width,height,duration",
+                        "-of", "csv=p=0", path], capture_output=True, text=True)
+    res = r.stdout.strip()
+    
+    # Prompt metadata
+    r2 = subprocess.run(["ffprobe", "-v", "quiet", "-show_entries", "format_tags=prompt",
+                         "-of", "csv=p=0", path], capture_output=True, text=True)
+    prompt_raw = r2.stdout.strip()
+    
+    # Scene from imageFile
+    img_match = re.search(r"imageFile.*?ltx_start_frame_(\d+)", prompt_raw)
+    scene = f"Scene_{img_match.group(1)}" if img_match else "?"
+    
+    # Model type
+    if "UNETLoader" in prompt_raw and "LTX2LoraLoaderAdvanced" in prompt_raw:
+        model = "fp8+LoRAs"
+    elif "UnetLoaderGGUF" in prompt_raw:
+        model = "Q4"
+    else:
+        model = "?"
+    
+    # Transition LoRA
+    has_trans = "LoraLoaderModelOnly" in prompt_raw
+    has_zhuanchang = "zhuanchang" in prompt_raw
+    
+    # File size
+    size = os.path.getsize(path)
+    size_str = f"{size/1024:.0f}KB"
+    
+    print(f"{f:40s} | {res:20s} | {scene:10s} | {model:12s} | {str(has_trans):6s} | {str(has_zhuanchang):10s} | {size_str:>8s}")