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aigc-apps-EasyAnimate/scripts/train_t2iv_lora.sh
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Bubbliiiingandchenyunkuo.cyk f9eeabe231 Updated to v3 version, supports image generated videos, with a maximum support of 960x960x144 video generation. (#40)
* update v3

* Fix frame start_idx bug, see issue #41.

* update readme and fix bug in training

* update requirements

* update ui

* fix bug in inpaint

* update new ui

* fix bug in auto resize

* fix bug in auto resize

* fix bug in modelscope and eas

* update low gpu memory mode

---------

Co-authored-by: chenyunkuo.cyk <chenyunkuo.cyk@alibaba-inc.com>
2024-07-05 20:27:24 +08:00

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export MODEL_NAME="models/Diffusion_Transformer/EasyAnimateV3-XL-2-InP-512x512"
export DATASET_NAME="datasets/internal_datasets/"
export DATASET_META_NAME="datasets/internal_datasets/metadata.json"
export NCCL_IB_DISABLE=1
export NCCL_P2P_DISABLE=1
NCCL_DEBUG=INFO
# When train model with multi machines, use "--config_file accelerate.yaml" instead of "--mixed_precision='bf16'".
# vae_mode can be choosen in "normal" and "magvit"
# transformer_mode can be choosen in "normal" and "kvcompress"
accelerate launch --mixed_precision="bf16" scripts/train_t2iv_lora.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--train_data_dir=$DATASET_NAME \
--train_data_meta=$DATASET_META_NAME \
--config_path "config/easyanimate_video_slicevae_motion_module_v3.yaml" \
--image_sample_size=512 \
--video_sample_size=512 \
--video_sample_stride=1 \
--video_sample_n_frames=144 \
--train_batch_size=1 \
--video_repeat=1 \
--gradient_accumulation_steps=1 \
--dataloader_num_workers=4 \
--num_train_epochs=100 \
--checkpointing_steps=100 \
--learning_rate=1e-04 \
--seed=42 \
--low_vram \
--output_dir="output_dir" \
--enable_xformers_memory_efficient_attention \
--gradient_checkpointing \
--mixed_precision="bf16" \
--adam_weight_decay=3e-2 \
--adam_epsilon=1e-10 \
--max_grad_norm=1 \
--vae_mini_batch=1 \
--enable_bucket \
--train_mode="inpaint" \
--random_frame_crop