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Use external timeline runtime images

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This commit is contained in:
OpenClaw Agent
2026-07-17 09:21:55 +00:00
parent 1cfe7f1932
commit cc51b298fd
1 changed files with 19 additions and 14 deletions
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7
ltx_director.py
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@@ -1541,7 +1541,7 @@ def _build_guide_data_from_timeline(
img_segs = [ img_segs = [
s for s in tdata.get("segments", []) s for s in tdata.get("segments", [])
if s.get("type", "image") in ("image", "video") 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)) < start_frame + duration_frames
and int(s.get("start", 0)) + int(s.get("length", 1)) > start_frame and int(s.get("start", 0)) + int(s.get("length", 1)) > start_frame
] ]
@@ -1564,6 +1564,11 @@ def _build_guide_data_from_timeline(
seg_for_load["length"] = max(1, seg_length - offset) seg_for_load["length"] = max(1, seg_length - offset)
tensor = _load_video_tensor(seg_for_load, frame_rate_f, input_dir=input_dir) tensor = _load_video_tensor(seg_for_load, frame_rate_f, input_dir=input_dir)
cache_key = None cache_key = None
else:
if seg.get("runtime_image") is not None:
cache_key = None
cached_tensor = None
tensor = _load_image_tensor(seg, cache=image_cache, input_dir=input_dir)
else: else:
cache_key = ( cache_key = (
seg.get("imageFile") or "", seg.get("imageFile") or "",