Add pose2vid which can perform command-line reasoning

One-to-All-Animation/video-generation/inference_1.3b.py

@@ -1,3 +1,4 @@
+import argparse
 import os
 import glob
 import torch
@@ -52,6 +53,29 @@ controlnet_conditioning_scale = 1.0
 case1 = False
 
 
+def resolve_pose_video_path(pose_identifier: str) -> str:
+    """Return an absolute pose video path, searching generated_pose_video when needed."""
+    if not pose_identifier:
+        raise ValueError("pose_identifier is required to resolve a pose video path")
+
+    candidates = []
+    expanded = os.path.expanduser(pose_identifier)
+    candidates.append(expanded)
+
+    # Always allow fallback to generated_pose_video by name.
+    candidates.append(os.path.join(pose_video_dir, pose_identifier))
+    if not os.path.splitext(pose_identifier)[1]:
+        candidates.append(os.path.join(pose_video_dir, f"{pose_identifier}.mp4"))
+
+    for candidate in candidates:
+        if candidate and os.path.exists(candidate):
+            return os.path.abspath(candidate)
+
+    raise FileNotFoundError(
+        f"❌ Pose video not found. Tried: {', '.join(os.path.abspath(c) for c in candidates)}"
+    )
+
+
 def resizecrop(image, th, tw):
     w, h = image.size
     if h / w > th / tw:
@@ -347,7 +371,7 @@ def unified_worker(rank, world_size, task_list, ckpt_path, use_direct_paths=Fals
     torch.cuda.empty_cache()
 
 
-def run_all_tasks(ckpt_path, img_g, pose_g, cache_dir_root="input_cache2", use_direct_paths=False):
+def run_all_tasks(ckpt_path, img_g, pose_g, cache_dir_root="input_cache2", use_direct_paths=False, pose_video_override=None):
     """扫描 cache 目录，跑全部任务"""
     # Modified: Direct paths mode for StableSigner3 generated videos
     # Format: (ref_image_path, pose_video_path, new_h, new_w, ref_cfg, pose_cfg, prompt)
@@ -356,7 +380,7 @@ def run_all_tasks(ckpt_path, img_g, pose_g, cache_dir_root="input_cache2", use_d
         task_list = [
             # Example: Use your generated pose video
             (f"{ref_image_dir}/square2.jpg",
-             f"{pose_video_dir}/I_NEED_HELP_PLEASE_28794_37894_69364_43226_20251212_150521.mp4",
+             f"{pose_video_dir}/WHERE_IS_MY_CAT_63084_22116_37469_65313_20251213_233807_openpose_style.mp4",
              "", "", "", "", ""),
         ]
 
@@ -370,18 +394,22 @@ def run_all_tasks(ckpt_path, img_g, pose_g, cache_dir_root="input_cache2", use_d
             if not os.path.exists(ref_path):
                 print(f"❌ Reference image not found: {ref_path}")
                 continue
-            if not os.path.exists(pose_video_path):
-                print(f"❌ Pose video not found: {pose_video_path}")
+
+            pose_target = pose_video_override if pose_video_override else pose_video_path
+            try:
+                resolved_pose_path = resolve_pose_video_path(pose_target)
+            except (FileNotFoundError, ValueError) as exc:
+                print(exc)
                 continue
 
             refname = os.path.splitext(os.path.basename(ref_path))[0]
-            vidname = os.path.splitext(os.path.basename(pose_video_path))[0]
+            vidname = os.path.splitext(os.path.basename(resolved_pose_path))[0]
             job_name = f"ref_{refname}_vid_{vidname}"
 
             # Create a simple dict to hold paths
             task_info = {
                 'ref_path': ref_path,
-                'pose_video_path': pose_video_path,
+                'pose_video_path': resolved_pose_path,
                 'job_name': job_name,
                 'new_h': new_h,
                 'new_w': new_w,
@@ -434,15 +462,34 @@ def run_all_tasks(ckpt_path, img_g, pose_g, cache_dir_root="input_cache2", use_d
     )
 
 if __name__ == "__main__":
-    # Modified: Set to True to use direct paths from generated_pose_video
-    USE_DIRECT_PATHS = True
+    parser = argparse.ArgumentParser(description="StableSigner3 One-to-All inference")
+    parser.add_argument(
+        "--pose_video",
+        type=str,
+        default=None,
+        help="Pose video path or filename inside generated_pose_video"
+    )
+    parser.add_argument(
+        "--use_cache_mode",
+        action="store_true",
+        help="Use cached input mode instead of direct reference/pose paths"
+    )
+    args = parser.parse_args()
+
+    USE_DIRECT_PATHS = not args.use_cache_mode
 
     for ckpt in ckpt_paths:
         for img_g, pose_g in default_cfg_combos:
             print(f"\n===== ckpt: {ckpt} | img_g={img_g} | pose_g={pose_g} =====")
             if USE_DIRECT_PATHS:
                 print("📁 使用直接路径模式: 从 generated_pose_video 读取")
-                run_all_tasks(ckpt, img_g, pose_g, use_direct_paths=True)
+                run_all_tasks(
+                    ckpt,
+                    img_g,
+                    pose_g,
+                    use_direct_paths=True,
+                    pose_video_override=args.pose_video
+                )
             else:
                 print("📁 使用缓存模式: 从 input_cache 读取")
                 run_all_tasks(ckpt, img_g, pose_g, cache_dir_root=cache_base_dir, use_direct_paths=False)