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update wan-vace training scripts

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Artiprocher
2026-01-19 17:37:30 +08:00
parent a18e6233b5
commit 70f531b724
1 changed files with 5 additions and 3 deletions
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8
examples/wanvideo/model_training/lora/Wan2.2-VACE-Fun-A14B.sh
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@@ -7,7 +7,7 @@ accelerate launch examples/wanvideo/model_training/train.py \
--num_frames 17 \
--dataset_repeat 100 \
--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" \
--learning_rate 1e-4 \
--learning_rate 5e-5 \
--num_epochs 5 \
--remove_prefix_in_ckpt "pipe.vace." \
--output_path "./models/train/Wan2.2-VACE-Fun-A14B_high_noise_lora" \
@@ -19,6 +19,7 @@ accelerate launch examples/wanvideo/model_training/train.py \
--max_timestep_boundary 0.358 \
--min_timestep_boundary 0
# boundary corresponds to timesteps [900, 1000]
# The learning rate is kept consistent with the settings in the original paper
accelerate launch examples/wanvideo/model_training/train.py \
--dataset_base_path data/example_video_dataset \
@@ -29,7 +30,7 @@ accelerate launch examples/wanvideo/model_training/train.py \
--num_frames 17 \
--dataset_repeat 100 \
--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" \
--learning_rate 1e-4 \
--learning_rate 5e-5 \
--num_epochs 5 \
--remove_prefix_in_ckpt "pipe.vace." \
--output_path "./models/train/Wan2.2-VACE-Fun-A14B_low_noise_lora" \
@@ -40,4 +41,5 @@ accelerate launch examples/wanvideo/model_training/train.py \
--use_gradient_checkpointing_offload \
--max_timestep_boundary 1 \
--min_timestep_boundary 0.358
# boundary corresponds to timesteps [0, 900]
# boundary corresponds to timesteps [0, 900]
# The learning rate is kept consistent with the settings in the original paper