File size: 2,322 Bytes
0a2e9f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | export WANDB_MODE="offline"
export ENTITY="linbin"
export HF_DATASETS_OFFLINE=1
export TRANSFORMERS_OFFLINE=1
export PDSH_RCMD_TYPE=ssh
# NCCL setting
export GLOO_SOCKET_IFNAME=bond0
export NCCL_SOCKET_IFNAME=bond0
export NCCL_IB_HCA=mlx5_10:1,mlx5_11:1,mlx5_12:1,mlx5_13:1
export NCCL_IB_GID_INDEX=3
export NCCL_IB_TC=162
export NCCL_IB_TIMEOUT=22
export NCCL_PXN_DISABLE=0
export NCCL_IB_QPS_PER_CONNECTION=4
export NCCL_ALGO=Ring
export OMP_NUM_THREADS=1
export MKL_NUM_THREADS=1
# export NCCL_ALGO=Tree
python opensora/train/train_t2v.py\
--model flux_ckpt \
--text_encoder_name flux_ckpt \
--cache_dir "./cache_dir" \
--dataset t2v_multi_res \
--data "eating_boating_driving.csv" \
--ae flux_ckpt/causal_video_vae \
--ae_path "flux_ckpt/causal_video_vae" \
--sample_rate 1 \
--num_frames 93 \
--max_height 480 \
--max_width 640 \
--interpolation_scale_t 1.0 \
--interpolation_scale_h 1.0 \
--interpolation_scale_w 1.0 \
--attention_mode flash \
--gradient_checkpointing \
--train_batch_size=1 \
--dataloader_num_workers 0 \
--gradient_accumulation_steps=1 \
--learning_rate=0 \
--optimizer adamw \
--adam_beta1 0.9 \
--adam_beta2 0.95 \
--adam_weight_decay 1e-4 \
--lr_scheduler="constant_with_warmup" \
--lr_warmup_steps=1000 \
--mixed_precision="bf16" \
--report_to=None \
--checkpointing_steps=100 \
--allow_tf32 \
--model_max_length 256 \
--use_image_num 0 \
--tile_overlap_factor 0.125 \
--snr_gamma 5.0 \
--use_ema \
--ema_start_step 0 \
--cfg 0.1 \
--noise_offset 0.02 \
--use_rope \
--resume_from_checkpoint="latest" \
--ema_decay 0.999 \
--enable_tiling \
--speed_factor 1.0 \
--group_frame \
--sp_size 1 \
--train_sp_batch_size 1 \
--output_dir="outputs/debug_768" \
--checkpoints_total_limit 3 \
--seed 42 \
--num_train_epochs 10 \
--reflow \
--diffusion_formula AutoregressivePyramidFlow \
--model_type flux_arpf \
--stages 3 \
--train_fps 24 \
--evaluation_steps 5 \
--evaluation_every 100 \
--valid_data valid.csv \
--max_num_evaluate_samples 10 |