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Merge pull request #404 from modelscope/wan-examples-update
update wan examples
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@@ -24,10 +24,10 @@ model_manager.load_models(
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"models/Wan-AI/Wan2.1-I2V-14B-480P/models_t5_umt5-xxl-enc-bf16.pth",
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"models/Wan-AI/Wan2.1-I2V-14B-480P/Wan2.1_VAE.pth",
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],
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torch_dtype=torch.float8_e4m3fn, # You can set `torch_dtype=torch.bfloat16` to disable FP8 quantization.
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torch_dtype=torch.bfloat16, # You can set `torch_dtype=torch.float8_e4m3fn` to enable FP8 quantization.
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)
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pipe = WanVideoPipeline.from_model_manager(model_manager, torch_dtype=torch.bfloat16, device="cuda")
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pipe.enable_vram_management(num_persistent_param_in_dit=None) # You can set `num_persistent_param_in_dit` to a small number to reduce VRAM required.
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pipe.enable_vram_management(num_persistent_param_in_dit=6*10**9) # You can set `num_persistent_param_in_dit` to a small number to reduce VRAM required.
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# Download example image
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dataset_snapshot_download(
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