fix: revert result to float32
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@@ -305,7 +305,7 @@ class RIFE_VFI:
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print(f"{time.time():.3f}: Comfy-VFI done! {sum(len(v) for v in results.values()) + len(frames)} frames generated")
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# Always return float32 — numpy and all downstream ComfyUI nodes require it
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out_tensor = torch.cat(output_frames, dim=0).to(torch.float16)
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out_tensor = torch.cat(output_frames, dim=0).to(torch.float32)
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stop_time = time.perf_counter()
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elapsed_time = stop_time - start_time
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