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Lower wan memory estimation value a bit. (#9964)
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Previous pr reduced the peak memory requirement.
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@ -995,7 +995,7 @@ class WAN21_T2V(supported_models_base.BASE):
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unet_extra_config = {}
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latent_format = latent_formats.Wan21
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memory_usage_factor = 1.0
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memory_usage_factor = 0.9
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supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32]
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@ -1004,7 +1004,7 @@ class WAN21_T2V(supported_models_base.BASE):
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def __init__(self, unet_config):
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super().__init__(unet_config)
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self.memory_usage_factor = self.unet_config.get("dim", 2000) / 2000
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self.memory_usage_factor = self.unet_config.get("dim", 2000) / 2222
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def get_model(self, state_dict, prefix="", device=None):
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out = model_base.WAN21(self, device=device)
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