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36 lines
1.7 KiB
Bash
36 lines
1.7 KiB
Bash
accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
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--height 480 \
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--width 832 \
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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/Wan2.2-I2V-A14B:high_noise_model/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-I2V-A14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-I2V-A14B:Wan2.1_VAE.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.2-I2V-A14B_high_noise_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image" \
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--use_gradient_checkpointing_offload \
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--max_timestep_boundary 1 \
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--min_timestep_boundary 0.875
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
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--height 480 \
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--width 832 \
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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/Wan2.2-I2V-A14B:low_noise_model/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-I2V-A14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-I2V-A14B:Wan2.1_VAE.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.2-I2V-A14B_low_noise_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image" \
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--use_gradient_checkpointing_offload \
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--max_timestep_boundary 0.875 \
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--min_timestep_boundary 0
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