* update train_lora && update deepspeed && update training with max token length * fix bug in train.py * fix bug in training_with_video_token_length * update v2v && update v2v api * add rope2d embedding precomputation; move text encoder to dataloader to reduce gpu memory consumpution * add cuda multi-stream to speedup vae encode * update new vae && new comfyui * fix some bug in training code * Add lcm lora (#89) Co-authored-by: xuanyuan.lb <xuanyuan.lb@alibaba-inc.com> * Update Training Code and fix bug in low vram mode * fix bug in low vram mode * update report * update cfg * actual text clip --------- Co-authored-by: mengli.cml <mengli.cml@alibaba-inc.com> Co-authored-by: liubo0902 <38622806+liubo0902@users.noreply.github.com> Co-authored-by: xuanyuan.lb <xuanyuan.lb@alibaba-inc.com>
49 lines
1.6 KiB
Bash
49 lines
1.6 KiB
Bash
export MODEL_NAME="models/EasyAnimateV4-XL-2-InP-512x512"
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export DATASET_NAME="datasets/internal_datasets/"
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export DATASET_META_NAME="datasets/image_video.json"
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export NCCL_IB_DISABLE=1
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export NCCL_P2P_DISABLE=1
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NCCL_DEBUG=INFO
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# When train model with multi machines, use "--config_file accelerate.yaml" instead of "--mixed_precision='bf16'".
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accelerate launch --mixed_precision="bf16" scripts/train_lcm_lora.py \
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--pretrained_model_name_or_path=$MODEL_NAME \
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--train_data_dir=$DATASET_NAME \
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--train_data_meta=$DATASET_META_NAME \
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--config_path "config/easyanimate_video_slicevae_multi_text_encoder_v4.yaml" \
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--image_sample_size=256 \
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--video_sample_size=256 \
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--token_sample_size=256 \
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--video_sample_stride=1 \
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--video_sample_n_frames=32 \
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--train_batch_size=8 \
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--video_repeat=1 \
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--gradient_accumulation_steps=1 \
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--dataloader_num_workers=8 \
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--num_train_epochs=100 \
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--checkpointing_steps=500 \
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--learning_rate=1e-04 \
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--lr_scheduler="constant_with_warmup" \
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--lr_warmup_steps=100 \
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--seed=42 \
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--output_dir="output_dir_hunyuan_256_InP_slice_vae_all_attention_f32" \
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--enable_xformers_memory_efficient_attention \
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--gradient_checkpointing \
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--mixed_precision="bf16" \
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--adam_weight_decay=0.0 \
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--max_grad_norm=1 \
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--vae_mini_batch=1 \
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--random_frame_crop \
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--enable_bucket \
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--low_vram \
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--max_grad_norm=0.05 \
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--random_hw_adapt \
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--training_with_video_token_length \
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--motion_sub_loss \
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--not_sigma_loss \
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--resume_from_checkpoint="latest" \
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--train_mode="inpaint" \
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--trainable_modules "." \
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--validation_prompts "a girl is smiling" \
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--validation_steps 100 \
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--checkpoints_total_limit 2 |