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42 lines
2.1 KiB
Bash
42 lines
2.1 KiB
Bash
modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "wanvideo/Wan2.2-Fun-A14B-Control/*" --local_dir ./data/diffsynth_example_dataset
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/diffsynth_example_dataset/wanvideo/Wan2.2-Fun-A14B-Control \
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--dataset_metadata_path data/diffsynth_example_dataset/wanvideo/Wan2.2-Fun-A14B-Control/metadata.csv \
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--data_file_keys "video,control_video,reference_image" \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-Control:high_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-Control:Wan2.1_VAE.pth" \
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--learning_rate 1e-4 \
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--num_epochs 5 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.2-Fun-A14B-Control_high_noise_lora" \
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--lora_base_model "dit" \
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--lora_target_modules "q,k,v,o,ffn.0,ffn.2" \
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--lora_rank 32 \
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--extra_inputs "control_video,reference_image" \
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--max_timestep_boundary 0.358 \
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--min_timestep_boundary 0
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# boundary corresponds to timesteps [900, 1000]
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/diffsynth_example_dataset/wanvideo/Wan2.2-Fun-A14B-Control \
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--dataset_metadata_path data/diffsynth_example_dataset/wanvideo/Wan2.2-Fun-A14B-Control/metadata.csv \
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--data_file_keys "video,control_video,reference_image" \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-Control:low_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-Control:Wan2.1_VAE.pth" \
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--learning_rate 1e-4 \
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--num_epochs 5 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.2-Fun-A14B-Control_low_noise_lora" \
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--lora_base_model "dit" \
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--lora_target_modules "q,k,v,o,ffn.0,ffn.2" \
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--lora_rank 32 \
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--extra_inputs "control_video,reference_image" \
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--max_timestep_boundary 1 \
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--min_timestep_boundary 0.358
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# boundary corresponds to timesteps [0, 900]
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