Ethanfel/ComfyUI-Tween
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Reorder VFI Optimizer outputs: images first, settings second

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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Ethanfel
2026-02-28 18:54:00 +01:00
parent f1da0f7876
commit c4b69321bb
1 changed files with 5 additions and 5 deletions
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10
nodes.py
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@@ -747,22 +747,22 @@ class VFIOptimizer:
}, },
} }
RETURN_TYPES = ("VFI_SETTINGS", "IMAGE") RETURN_TYPES = ("IMAGE", "VFI_SETTINGS")
RETURN_NAMES = ("settings", "images") RETURN_NAMES = ("images", "settings")
FUNCTION = "optimize" FUNCTION = "optimize"
CATEGORY = "video/Tween" CATEGORY = "video/Tween"
@staticmethod @staticmethod
def _conservative_defaults(images): def _conservative_defaults(images):
"""Return safe fallback settings with image passthrough.""" """Return safe fallback settings with image passthrough."""
return ({ return (images, {
"batch_size": 1, "batch_size": 1,
"chunk_size": 0, "chunk_size": 0,
"keep_device": True, "keep_device": True,
"all_on_gpu": False, "all_on_gpu": False,
"clear_cache_after_n_frames": 5, "clear_cache_after_n_frames": 5,
"_info": {"source": "conservative_defaults"}, "_info": {"source": "conservative_defaults"},
}, images) })
def optimize(self, images, model, min_free_vram_gb, force_batch_size=0): def optimize(self, images, model, min_free_vram_gb, force_batch_size=0):
if images.shape[0] < 2 or not torch.cuda.is_available(): if images.shape[0] < 2 or not torch.cuda.is_available():
@@ -881,7 +881,7 @@ class VFIOptimizer:
f"calibration={elapsed*1000:.0f}ms, res={W}x{H}" f"calibration={elapsed*1000:.0f}ms, res={W}x{H}"
) )
return (settings, images) return (images, settings)
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------