38 lines
1.3 KiB
Bash
38 lines
1.3 KiB
Bash
export WANDB_BASE_URL="https://api.wandb.ai"
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export WANDB_MODE=online
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torchrun --nnodes 1 --nproc_per_node 8 \
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fastvideo/train.py \
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--seed 42 \
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--pretrained_model_name_or_path data/hunyuan \
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--dit_model_name_or_path data/hunyuan/hunyuan-video-t2v-720p/transformers/mp_rank_00_model_states.pt\
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--model_type "hunyuan" \
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--cache_dir data/.cache \
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--data_json_path data/Image-Vid-Finetune-HunYuan/videos2caption.json \
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--validation_prompt_dir data/Image-Vid-Finetune-HunYuan/validation \
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--gradient_checkpointing \
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--train_batch_size=1 \
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--num_latent_t 32 \
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--sp_size 4 \
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--train_sp_batch_size 1 \
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--dataloader_num_workers 4 \
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--gradient_accumulation_steps=1 \
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--max_train_steps=2000 \
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--learning_rate=1e-5 \
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--mixed_precision=bf16 \
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--checkpointing_steps=200 \
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--validation_steps 100 \
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--validation_sampling_steps 50 \
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--checkpoints_total_limit 3 \
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--allow_tf32 \
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--ema_start_step 0 \
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--cfg 0.0 \
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--ema_decay 0.999 \
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--log_validation \
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--output_dir=data/outputs/HSH-Taylor-Finetune-Hunyuan \
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--tracker_project_name HSH-Taylor-Finetune-Hunyuan \
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--num_frames 125 \
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--num_height 720 \
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--num_width 1280 \
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--shift 7 \
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--validation_guidance_scale "1.0" \ |