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Update text2video.py to reduce GPU memory by emptying cache (#44)

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* Update text2video.py to reduce GPU memory by emptying cache

If offload_model is set, empty_cache() must be called after the model is moved to CPU to actually free the GPU. I verified on a RTX 4090 that without calling empty_cache the model remains in memory and the subsequent vae decoding never finishes.

* Update text2video.py only one empty_cache needed before vae decode
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Adrian Corduneanu 2025-02-26 02:56:57 -08:00 committed by GitHub
parent 9ab8f963c8
commit fb6dbad54c
1 changed files with 1 additions and 0 deletions
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wan/text2video.py
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@ -252,6 +252,7 @@ class WanT2V:
x0 = latents
if offload_model:
self.model.cpu()
torch.cuda.empty_cache()
if self.rank == 0:
videos = self.vae.decode(x0)