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add example_dataset in training scripts (#1358)

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* add example_dataset in training scripts

* fix example datasets
This commit is contained in:
Zhongjie Duan
2026-03-18 15:37:03 +08:00
committed by GitHub
parent 4ec4d9c20a
commit ba0626e38f
196 changed files with 911 additions and 567 deletions
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12
examples/wanvideo/model_training/full/Wan2.2-VACE-Fun-A14B.sh
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@@ -1,6 +1,8 @@
modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "wanvideo/Wan2.2-VACE-Fun-A14B/*" --local_dir ./data/diffsynth_example_dataset
accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
--dataset_base_path data/example_video_dataset \
--dataset_metadata_path data/example_video_dataset/metadata_vace.csv \
--dataset_base_path data/diffsynth_example_dataset/wanvideo/Wan2.2-VACE-Fun-A14B \
--dataset_metadata_path data/diffsynth_example_dataset/wanvideo/Wan2.2-VACE-Fun-A14B/metadata.csv \
--data_file_keys "video,vace_video,vace_reference_image" \
--height 480 \
--width 832 \
@@ -22,8 +24,8 @@ accelerate launch --config_file examples/wanvideo/model_training/full/accelerate
accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
--dataset_base_path data/example_video_dataset \
--dataset_metadata_path data/example_video_dataset/metadata_vace.csv \
--dataset_base_path data/diffsynth_example_dataset/wanvideo/Wan2.2-VACE-Fun-A14B \
--dataset_metadata_path data/diffsynth_example_dataset/wanvideo/Wan2.2-VACE-Fun-A14B/metadata.csv \
--data_file_keys "video,vace_video,vace_reference_image" \
--height 480 \
--width 832 \
@@ -41,4 +43,4 @@ accelerate launch --config_file examples/wanvideo/model_training/full/accelerate
--min_timestep_boundary 0.358 \
--initialize_model_on_cpu
# boundary corresponds to timesteps [0, 900]
# The learning rate is kept consistent with the settings in the original paper
# The learning rate is kept consistent with the settings in the original paper