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fix training boundary for wan2.2 A14B

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This commit is contained in:
mi804
2025-08-15 17:54:52 +08:00
parent 024fdad76d
commit 6a9d875d65
5 changed files with 25 additions and 16 deletions
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10
examples/wanvideo/model_training/lora/Wan2.2-T2V-A14B.sh
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@@ -13,8 +13,9 @@ accelerate launch examples/wanvideo/model_training/train.py \
--lora_base_model "dit" \
--lora_target_modules "q,k,v,o,ffn.0,ffn.2" \
--lora_rank 32 \
--max_timestep_boundary 1 \
--min_timestep_boundary 0.875
--max_timestep_boundary 0.417 \
--min_timestep_boundary 0
# boundary corresponds to timesteps [875, 1000]
accelerate launch examples/wanvideo/model_training/train.py \
@@ -32,5 +33,6 @@ accelerate launch examples/wanvideo/model_training/train.py \
--lora_base_model "dit" \
--lora_target_modules "q,k,v,o,ffn.0,ffn.2" \
--lora_rank 32 \
--max_timestep_boundary 0.875 \
--min_timestep_boundary 0
--max_timestep_boundary 1 \
--min_timestep_boundary 0.417
# boundary corresponds to timesteps [0, 875)