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https://github.com/modelscope/DiffSynth-Studio.git
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46 lines
2.2 KiB
Bash
46 lines
2.2 KiB
Bash
modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "wanvideo/Wan2.2-VACE-Fun-A14B/*" --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-VACE-Fun-A14B \
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--dataset_metadata_path data/diffsynth_example_dataset/wanvideo/Wan2.2-VACE-Fun-A14B/metadata.csv \
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--data_file_keys "video,vace_video,vace_reference_image" \
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--height 480 \
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--width 832 \
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--num_frames 17 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.2-VACE-Fun-A14B:high_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-VACE-Fun-A14B:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-VACE-Fun-A14B: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.vace." \
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--output_path "./models/train/Wan2.2-VACE-Fun-A14B_high_noise_lora" \
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--lora_base_model "vace" \
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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 "vace_video,vace_reference_image" \
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--use_gradient_checkpointing_offload \
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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-VACE-Fun-A14B \
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--dataset_metadata_path data/diffsynth_example_dataset/wanvideo/Wan2.2-VACE-Fun-A14B/metadata.csv \
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--data_file_keys "video,vace_video,vace_reference_image" \
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--height 480 \
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--width 832 \
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--num_frames 17 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.2-VACE-Fun-A14B:low_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-VACE-Fun-A14B:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-VACE-Fun-A14B: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.vace." \
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--output_path "./models/train/Wan2.2-VACE-Fun-A14B_low_noise_lora" \
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--lora_base_model "vace" \
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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 "vace_video,vace_reference_image" \
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--use_gradient_checkpointing_offload \
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--max_timestep_boundary 1 \
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--min_timestep_boundary 0.358
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# boundary corresponds to timesteps [0, 900]
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