Use external timeline runtime images

ltx_director.py

@@ -1541,7 +1541,7 @@ def _build_guide_data_from_timeline(
         img_segs = [
             s for s in tdata.get("segments", [])
             if s.get("type", "image") in ("image", "video")
-            and (s.get("imageFile") or s.get("imageB64"))
+            and (s.get("imageFile") or s.get("imageB64") or s.get("runtime_image") is not None)
             and int(s.get("start", 0)) < start_frame + duration_frames
             and int(s.get("start", 0)) + int(s.get("length", 1)) > start_frame
         ]
@@ -1565,20 +1565,25 @@ def _build_guide_data_from_timeline(
                 tensor = _load_video_tensor(seg_for_load, frame_rate_f, input_dir=input_dir)
                 cache_key = None
             else:
-                cache_key = (
+                if seg.get("runtime_image") is not None:
-                    seg.get("imageFile") or "",
+                    cache_key = None
-                    seg.get("imageB64") or "",
+                    cached_tensor = None
-                    custom_width,
-                    custom_height,
-                    resize_method,
-                    divisible_by,
-                    img_compression,
-                )
-                cached_tensor = processed_still_cache.get(cache_key)
-                if cached_tensor is not None:
-                    tensor = cached_tensor
-                else:
                     tensor = _load_image_tensor(seg, cache=image_cache, input_dir=input_dir)
+                else:
+                    cache_key = (
+                        seg.get("imageFile") or "",
+                        seg.get("imageB64") or "",
+                        custom_width,
+                        custom_height,
+                        resize_method,
+                        divisible_by,
+                        img_compression,
+                    )
+                    cached_tensor = processed_still_cache.get(cache_key)
+                    if cached_tensor is not None:
+                        tensor = cached_tensor
+                    else:
+                        tensor = _load_image_tensor(seg, cache=image_cache, input_dir=input_dir)
 
             if cache_key is None or cached_tensor is None:
                 src_h, src_w = tensor.shape[1], tensor.shape[2]