| # 1*80G GPU cannot train Wan2.2-Animate-14B LoRA | |
| # We tested on 8*80G GPUs | |
| accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \ | |
| --dataset_base_path data/example_video_dataset \ | |
| --dataset_metadata_path data/example_video_dataset/metadata_animate.csv \ | |
| --data_file_keys "video,animate_pose_video,animate_face_video" \ | |
| --height 480 \ | |
| --width 832 \ | |
| --num_frames 81 \ | |
| --dataset_repeat 100 \ | |
| --model_id_with_origin_paths "Wan-AI/Wan2.2-Animate-14B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-Animate-14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-Animate-14B:Wan2.1_VAE.pth,Wan-AI/Wan2.2-Animate-14B:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \ | |
| --learning_rate 1e-4 \ | |
| --num_epochs 5 \ | |
| --remove_prefix_in_ckpt "pipe.dit." \ | |
| --output_path "./models/train/Wan2.2-Animate-14B_lora" \ | |
| --lora_base_model "dit" \ | |
| --lora_target_modules "q,k,v,o,ffn.0,ffn.2" \ | |
| --lora_rank 32 \ | |
| --extra_inputs "input_image,animate_pose_video,animate_face_video" \ | |
| --use_gradient_checkpointing_offload |