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update lr in wan-vace training scripts
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@@ -7,10 +7,11 @@ accelerate launch examples/wanvideo/model_training/train.py \
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--num_frames 49 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "Wan-AI/Wan2.1-VACE-1.3B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-VACE-1.3B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-VACE-1.3B:Wan2.1_VAE.pth" \
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--learning_rate 1e-4 \
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--learning_rate 5e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.vace." \
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--output_path "./models/train/Wan2.1-VACE-1.3B_full" \
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--trainable_models "vace" \
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--extra_inputs "vace_video,vace_reference_image" \
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--use_gradient_checkpointing_offload
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--use_gradient_checkpointing_offload
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# The learning rate is kept consistent with the settings in the original paper
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