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update wan examples

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Artiprocher
2025-03-04 21:54:04 +08:00
parent fe0fff1399
commit bf0bf2d5ba
1 changed files with 2 additions and 2 deletions
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4
examples/wanvideo/wan_14b_image_to_video.py
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@@ -24,10 +24,10 @@ model_manager.load_models(
"models/Wan-AI/Wan2.1-I2V-14B-480P/models_t5_umt5-xxl-enc-bf16.pth", "models/Wan-AI/Wan2.1-I2V-14B-480P/models_t5_umt5-xxl-enc-bf16.pth",
"models/Wan-AI/Wan2.1-I2V-14B-480P/Wan2.1_VAE.pth", "models/Wan-AI/Wan2.1-I2V-14B-480P/Wan2.1_VAE.pth",
], ],
torch_dtype=torch.float8_e4m3fn, # You can set `torch_dtype=torch.bfloat16` to disable FP8 quantization. torch_dtype=torch.bfloat16, # You can set `torch_dtype=torch.float8_e4m3fn` to enable FP8 quantization.
) )
pipe = WanVideoPipeline.from_model_manager(model_manager, torch_dtype=torch.bfloat16, device="cuda") pipe = WanVideoPipeline.from_model_manager(model_manager, torch_dtype=torch.bfloat16, device="cuda")
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. 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.
# Download example image # Download example image
dataset_snapshot_download( dataset_snapshot_download(