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wan-series
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12
examples/wanvideo/model_training/full/LongCat-Video.sh
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12
examples/wanvideo/model_training/full/LongCat-Video.sh
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "meituan-longcat/LongCat-Video:dit/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-T2V-14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-T2V-14B:Wan2.1_VAE.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/LongCat-Video_full" \
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--trainable_models "dit"
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata_vap.csv \
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--data_file_keys "video,vap_video" \
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--height 480 \
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--width 832 \
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--num_frames 49 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "ByteDance/Video-As-Prompt-Wan2.1-14B:transformer/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-I2V-14B-720P:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-I2V-14B-720P:Wan2.1_VAE.pth,Wan-AI/Wan2.1-I2V-14B-720P:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.vap." \
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--output_path "./models/train/Video-As-Prompt-Wan2.1-14B_full" \
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--trainable_models "vap" \
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--extra_inputs "vap_video,input_image" \
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--use_gradient_checkpointing_offload
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata_motion_bucket_id.csv \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "Wan-AI/Wan2.1-T2V-1.3B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-T2V-1.3B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-T2V-1.3B:Wan2.1_VAE.pth,DiffSynth-Studio/Wan2.1-1.3b-speedcontrol-v1:model.safetensors" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.motion_controller." \
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--output_path "./models/train/Wan2.1-1.3b-speedcontrol-v1_full" \
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--trainable_models "motion_controller" \
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--extra_inputs "motion_bucket_id"
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "Wan-AI/Wan2.1-FLF2V-14B-720P:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-FLF2V-14B-720P:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-FLF2V-14B-720P:Wan2.1_VAE.pth,Wan-AI/Wan2.1-FLF2V-14B-720P:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.1-FLF2V-14B-720P_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image,end_image"
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata_control.csv \
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--data_file_keys "video,control_video" \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.1-Fun-1.3B-Control:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-1.3B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-1.3B-Control:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-1.3B-Control:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.1-Fun-1.3B-Control_full" \
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--trainable_models "dit" \
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--extra_inputs "control_video"
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13
examples/wanvideo/model_training/full/Wan2.1-Fun-1.3B-InP.sh
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13
examples/wanvideo/model_training/full/Wan2.1-Fun-1.3B-InP.sh
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.1-Fun-1.3B-InP:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-1.3B-InP:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-1.3B-InP:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-1.3B-InP:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.1-Fun-1.3B-InP_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image,end_image"
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata_control.csv \
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--data_file_keys "video,control_video" \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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--model_id_with_origin_paths "PAI/Wan2.1-Fun-14B-Control:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-14B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-14B-Control:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-14B-Control:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
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--learning_rate 1e-5 \
|
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.1-Fun-14B-Control_full" \
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--trainable_models "dit" \
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--extra_inputs "control_video"
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13
examples/wanvideo/model_training/full/Wan2.1-Fun-14B-InP.sh
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13
examples/wanvideo/model_training/full/Wan2.1-Fun-14B-InP.sh
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@@ -0,0 +1,13 @@
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
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--height 480 \
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--width 832 \
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--dataset_repeat 100 \
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||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-14B-InP:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-14B-InP:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-14B-InP:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-14B-InP:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
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--learning_rate 1e-5 \
|
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.1-Fun-14B-InP_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image,end_image"
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@@ -0,0 +1,13 @@
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata_camera_control.csv \
|
||||
--height 480 \
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||||
--width 832 \
|
||||
--dataset_repeat 100 \
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||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-V1.1-1.3B-Control-Camera:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-V1.1-1.3B-Control-Camera:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-V1.1-1.3B-Control-Camera:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-V1.1-1.3B-Control-Camera:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
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--learning_rate 1e-5 \
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--num_epochs 2 \
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||||
--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Wan2.1-Fun-V1.1-1.3B-Control-Camera_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image,camera_control_direction,camera_control_speed"
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@@ -0,0 +1,14 @@
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accelerate launch examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata_reference_control.csv \
|
||||
--data_file_keys "video,control_video,reference_image" \
|
||||
--height 480 \
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||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-V1.1-1.3B-Control:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-V1.1-1.3B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-V1.1-1.3B-Control:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-V1.1-1.3B-Control:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
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||||
--output_path "./models/train/Wan2.1-Fun-V1.1-1.3B-Control_full" \
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--trainable_models "dit" \
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--extra_inputs "control_video,reference_image"
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@@ -0,0 +1,13 @@
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accelerate launch examples/wanvideo/model_training/train.py \
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||||
--dataset_base_path data/example_video_dataset \
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--dataset_metadata_path data/example_video_dataset/metadata.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-V1.1-1.3B-InP:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-V1.1-1.3B-InP:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-V1.1-1.3B-InP:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-V1.1-1.3B-InP:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
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--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-Fun-V1.1-1.3B-InP_full" \
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--trainable_models "dit" \
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--extra_inputs "input_image,end_image"
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@@ -0,0 +1,13 @@
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accelerate launch --config_file examples/wanvideo/model_training/full/accelerate_config_14B.yaml examples/wanvideo/model_training/train.py \
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--dataset_base_path data/example_video_dataset \
|
||||
--dataset_metadata_path data/example_video_dataset/metadata_camera_control.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-V1.1-14B-Control-Camera:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-V1.1-14B-Control-Camera:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-V1.1-14B-Control-Camera:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-V1.1-14B-Control-Camera:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-Fun-V1.1-14B-Control-Camera_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image,camera_control_direction,camera_control_speed"
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@@ -0,0 +1,14 @@
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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_reference_control.csv \
|
||||
--data_file_keys "video,control_video,reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-V1.1-14B-Control:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-V1.1-14B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-V1.1-14B-Control:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-V1.1-14B-Control:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-Fun-V1.1-14B-Control_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "control_video,reference_image"
|
||||
@@ -0,0 +1,13 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.1-Fun-V1.1-14B-InP:diffusion_pytorch_model*.safetensors,PAI/Wan2.1-Fun-V1.1-14B-InP:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.1-Fun-V1.1-14B-InP:Wan2.1_VAE.pth,PAI/Wan2.1-Fun-V1.1-14B-InP:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-Fun-V1.1-14B-InP_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image,end_image"
|
||||
13
examples/wanvideo/model_training/full/Wan2.1-I2V-14B-480P.sh
Normal file
13
examples/wanvideo/model_training/full/Wan2.1-I2V-14B-480P.sh
Normal file
@@ -0,0 +1,13 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.1-I2V-14B-480P:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-I2V-14B-480P:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-I2V-14B-480P:Wan2.1_VAE.pth,Wan-AI/Wan2.1-I2V-14B-480P:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-I2V-14B-480P_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image"
|
||||
15
examples/wanvideo/model_training/full/Wan2.1-I2V-14B-720P.sh
Normal file
15
examples/wanvideo/model_training/full/Wan2.1-I2V-14B-720P.sh
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|
||||
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.csv \
|
||||
--height 720 \
|
||||
--width 1280 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.1-I2V-14B-720P:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-I2V-14B-720P:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-I2V-14B-720P:Wan2.1_VAE.pth,Wan-AI/Wan2.1-I2V-14B-720P:models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-I2V-14B-720P_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image" \
|
||||
--use_gradient_checkpointing_offload
|
||||
12
examples/wanvideo/model_training/full/Wan2.1-T2V-1.3B.sh
Normal file
12
examples/wanvideo/model_training/full/Wan2.1-T2V-1.3B.sh
Normal file
@@ -0,0 +1,12 @@
|
||||
accelerate launch examples/wanvideo/model_training/train.py \
|
||||
--dataset_base_path data/example_video_dataset \
|
||||
--dataset_metadata_path data/example_video_dataset/metadata.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.1-T2V-1.3B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-T2V-1.3B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-T2V-1.3B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-T2V-1.3B_full" \
|
||||
--trainable_models "dit"
|
||||
12
examples/wanvideo/model_training/full/Wan2.1-T2V-14B.sh
Normal file
12
examples/wanvideo/model_training/full/Wan2.1-T2V-14B.sh
Normal file
@@ -0,0 +1,12 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.1-T2V-14B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-T2V-14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-T2V-14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.1-T2V-14B_full" \
|
||||
--trainable_models "dit"
|
||||
@@ -0,0 +1,16 @@
|
||||
accelerate launch examples/wanvideo/model_training/train.py \
|
||||
--dataset_base_path data/example_video_dataset \
|
||||
--dataset_metadata_path data/example_video_dataset/metadata_vace.csv \
|
||||
--data_file_keys "video,vace_video,vace_reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "iic/VACE-Wan2.1-1.3B-Preview:diffusion_pytorch_model*.safetensors,iic/VACE-Wan2.1-1.3B-Preview:models_t5_umt5-xxl-enc-bf16.pth,iic/VACE-Wan2.1-1.3B-Preview:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.vace." \
|
||||
--output_path "./models/train/Wan2.1-VACE-1.3B-Preview_full" \
|
||||
--trainable_models "vace" \
|
||||
--extra_inputs "vace_video,vace_reference_image" \
|
||||
--use_gradient_checkpointing_offload
|
||||
16
examples/wanvideo/model_training/full/Wan2.1-VACE-1.3B.sh
Normal file
16
examples/wanvideo/model_training/full/Wan2.1-VACE-1.3B.sh
Normal file
@@ -0,0 +1,16 @@
|
||||
accelerate launch examples/wanvideo/model_training/train.py \
|
||||
--dataset_base_path data/example_video_dataset \
|
||||
--dataset_metadata_path data/example_video_dataset/metadata_vace.csv \
|
||||
--data_file_keys "video,vace_video,vace_reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.1-VACE-1.3B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-VACE-1.3B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-VACE-1.3B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.vace." \
|
||||
--output_path "./models/train/Wan2.1-VACE-1.3B_full" \
|
||||
--trainable_models "vace" \
|
||||
--extra_inputs "vace_video,vace_reference_image" \
|
||||
--use_gradient_checkpointing_offload
|
||||
16
examples/wanvideo/model_training/full/Wan2.1-VACE-14B.sh
Normal file
16
examples/wanvideo/model_training/full/Wan2.1-VACE-14B.sh
Normal file
@@ -0,0 +1,16 @@
|
||||
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_vace.csv \
|
||||
--data_file_keys "video,vace_video,vace_reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 17 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.1-VACE-14B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.1-VACE-14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-VACE-14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.vace." \
|
||||
--output_path "./models/train/Wan2.1-VACE-14B_full" \
|
||||
--trainable_models "vace" \
|
||||
--extra_inputs "vace_video,vace_reference_image" \
|
||||
--use_gradient_checkpointing_offload
|
||||
16
examples/wanvideo/model_training/full/Wan2.2-Animate-14B.sh
Normal file
16
examples/wanvideo/model_training/full/Wan2.2-Animate-14B.sh
Normal file
@@ -0,0 +1,16 @@
|
||||
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-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.animate_adapter." \
|
||||
--output_path "./models/train/Wan2.2-Animate-14B_full" \
|
||||
--trainable_models "animate_adapter" \
|
||||
--extra_inputs "input_image,animate_pose_video,animate_face_video" \
|
||||
--use_gradient_checkpointing_offload
|
||||
@@ -0,0 +1,35 @@
|
||||
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_camera_control.csv \
|
||||
--data_file_keys "video,control_video,reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-Control-Camera:high_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-Control-Camera:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-Control-Camera:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 5 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-Fun-A14B-Control-Camera_high_niose_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image,camera_control_direction,camera_control_speed" \
|
||||
--max_timestep_boundary 0.358 \
|
||||
--min_timestep_boundary 0
|
||||
# boundary corresponds to timesteps [900, 1000]
|
||||
|
||||
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_camera_control.csv \
|
||||
--data_file_keys "video,control_video,reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-Control-Camera:low_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-Control-Camera:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-Control-Camera:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 5 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-Fun-A14B-Control-Camera_low_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image,camera_control_direction,camera_control_speed" \
|
||||
--max_timestep_boundary 1 \
|
||||
--min_timestep_boundary 0.358
|
||||
# boundary corresponds to timesteps [0, 900]
|
||||
@@ -0,0 +1,35 @@
|
||||
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_reference_control.csv \
|
||||
--data_file_keys "video,control_video,reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-Control:high_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-Control:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 5 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-Fun-A14B-Control_high_niose_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "control_video,reference_image" \
|
||||
--max_timestep_boundary 0.358 \
|
||||
--min_timestep_boundary 0
|
||||
# boundary corresponds to timesteps [900, 1000]
|
||||
|
||||
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_reference_control.csv \
|
||||
--data_file_keys "video,control_video,reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-Control:low_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-Control:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-Control:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 5 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-Fun-A14B-Control_low_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "control_video,reference_image" \
|
||||
--max_timestep_boundary 1 \
|
||||
--min_timestep_boundary 0.358
|
||||
# boundary corresponds to timesteps [0, 900]
|
||||
33
examples/wanvideo/model_training/full/Wan2.2-Fun-A14B-InP.sh
Normal file
33
examples/wanvideo/model_training/full/Wan2.2-Fun-A14B-InP.sh
Normal file
@@ -0,0 +1,33 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-InP:high_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-InP:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-InP:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 5 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-Fun-A14B-InP_high_niose_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image,end_image" \
|
||||
--max_timestep_boundary 0.358 \
|
||||
--min_timestep_boundary 0
|
||||
# boundary corresponds to timesteps [900, 1000]
|
||||
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-Fun-A14B-InP:low_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-Fun-A14B-InP:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-Fun-A14B-InP:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 5 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-Fun-A14B-InP_low_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image,end_image" \
|
||||
--max_timestep_boundary 1 \
|
||||
--min_timestep_boundary 0.358
|
||||
# boundary corresponds to timesteps [0, 900]
|
||||
37
examples/wanvideo/model_training/full/Wan2.2-I2V-A14B.sh
Normal file
37
examples/wanvideo/model_training/full/Wan2.2-I2V-A14B.sh
Normal file
@@ -0,0 +1,37 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.2-I2V-A14B:high_noise_model/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-I2V-A14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-I2V-A14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-I2V-A14B_high_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image" \
|
||||
--use_gradient_checkpointing_offload \
|
||||
--max_timestep_boundary 0.358 \
|
||||
--min_timestep_boundary 0
|
||||
# boundary corresponds to timesteps [900, 1000]
|
||||
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.2-I2V-A14B:low_noise_model/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-I2V-A14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-I2V-A14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-I2V-A14B_low_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image" \
|
||||
--use_gradient_checkpointing_offload \
|
||||
--max_timestep_boundary 1 \
|
||||
--min_timestep_boundary 0.358
|
||||
# boundary corresponds to timesteps [0, 900)
|
||||
17
examples/wanvideo/model_training/full/Wan2.2-S2V-14B.sh
Normal file
17
examples/wanvideo/model_training/full/Wan2.2-S2V-14B.sh
Normal file
@@ -0,0 +1,17 @@
|
||||
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/wans2v \
|
||||
--dataset_metadata_path data/example_video_dataset/wans2v/metadata.csv \
|
||||
--data_file_keys "video,input_audio,s2v_pose_video" \
|
||||
--height 448 \
|
||||
--width 832 \
|
||||
--num_frames 81 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.2-S2V-14B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-S2V-14B:wav2vec2-large-xlsr-53-english/model.safetensors,Wan-AI/Wan2.2-S2V-14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-S2V-14B:Wan2.1_VAE.pth" \
|
||||
--audio_processor_config "Wan-AI/Wan2.2-S2V-14B:wav2vec2-large-xlsr-53-english/" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 1 \
|
||||
--trainable_models "dit" \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-S2V-14B_full" \
|
||||
--extra_inputs "input_image,input_audio,s2v_pose_video" \
|
||||
--use_gradient_checkpointing_offload
|
||||
33
examples/wanvideo/model_training/full/Wan2.2-T2V-A14B.sh
Normal file
33
examples/wanvideo/model_training/full/Wan2.2-T2V-A14B.sh
Normal file
@@ -0,0 +1,33 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.2-T2V-A14B:high_noise_model/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-T2V-A14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-T2V-A14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-T2V-A14B_high_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--max_timestep_boundary 0.417 \
|
||||
--min_timestep_boundary 0
|
||||
# boundary corresponds to timesteps [875, 1000]
|
||||
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.2-T2V-A14B:low_noise_model/diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-T2V-A14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-T2V-A14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-T2V-A14B_low_noise_full" \
|
||||
--trainable_models "dit" \
|
||||
--max_timestep_boundary 1 \
|
||||
--min_timestep_boundary 0.417
|
||||
# boundary corresponds to timesteps [0, 875)
|
||||
14
examples/wanvideo/model_training/full/Wan2.2-TI2V-5B.sh
Normal file
14
examples/wanvideo/model_training/full/Wan2.2-TI2V-5B.sh
Normal file
@@ -0,0 +1,14 @@
|
||||
accelerate launch examples/wanvideo/model_training/train.py \
|
||||
--dataset_base_path data/example_video_dataset \
|
||||
--dataset_metadata_path data/example_video_dataset/metadata.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 49 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "Wan-AI/Wan2.2-TI2V-5B:diffusion_pytorch_model*.safetensors,Wan-AI/Wan2.2-TI2V-5B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.2-TI2V-5B:Wan2.2_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/Wan2.2-TI2V-5B_full" \
|
||||
--trainable_models "dit" \
|
||||
--extra_inputs "input_image"
|
||||
@@ -0,0 +1,40 @@
|
||||
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_vace.csv \
|
||||
--data_file_keys "video,vace_video,vace_reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 17 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-VACE-Fun-A14B:high_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-VACE-Fun-A14B:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-VACE-Fun-A14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.vace." \
|
||||
--output_path "./models/train/Wan2.2-VACE-Fun-A14B_high_noise_full" \
|
||||
--trainable_models "vace" \
|
||||
--extra_inputs "vace_video,vace_reference_image" \
|
||||
--use_gradient_checkpointing_offload \
|
||||
--max_timestep_boundary 0.358 \
|
||||
--min_timestep_boundary 0
|
||||
# boundary corresponds to timesteps [900, 1000]
|
||||
|
||||
|
||||
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_vace.csv \
|
||||
--data_file_keys "video,vace_video,vace_reference_image" \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--num_frames 17 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "PAI/Wan2.2-VACE-Fun-A14B:low_noise_model/diffusion_pytorch_model*.safetensors,PAI/Wan2.2-VACE-Fun-A14B:models_t5_umt5-xxl-enc-bf16.pth,PAI/Wan2.2-VACE-Fun-A14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-4 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.vace." \
|
||||
--output_path "./models/train/Wan2.2-VACE-Fun-A14B_low_noise_full" \
|
||||
--trainable_models "vace" \
|
||||
--extra_inputs "vace_video,vace_reference_image" \
|
||||
--use_gradient_checkpointing_offload \
|
||||
--max_timestep_boundary 1 \
|
||||
--min_timestep_boundary 0.358
|
||||
# boundary corresponds to timesteps [0, 900]
|
||||
@@ -0,0 +1,22 @@
|
||||
compute_environment: LOCAL_MACHINE
|
||||
debug: false
|
||||
deepspeed_config:
|
||||
gradient_accumulation_steps: 1
|
||||
offload_optimizer_device: cpu
|
||||
offload_param_device: cpu
|
||||
zero3_init_flag: false
|
||||
zero_stage: 2
|
||||
distributed_type: DEEPSPEED
|
||||
downcast_bf16: 'no'
|
||||
enable_cpu_affinity: false
|
||||
machine_rank: 0
|
||||
main_training_function: main
|
||||
mixed_precision: bf16
|
||||
num_machines: 1
|
||||
num_processes: 8
|
||||
rdzv_backend: static
|
||||
same_network: true
|
||||
tpu_env: []
|
||||
tpu_use_cluster: false
|
||||
tpu_use_sudo: false
|
||||
use_cpu: false
|
||||
12
examples/wanvideo/model_training/full/krea-realtime-video.sh
Normal file
12
examples/wanvideo/model_training/full/krea-realtime-video.sh
Normal file
@@ -0,0 +1,12 @@
|
||||
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.csv \
|
||||
--height 480 \
|
||||
--width 832 \
|
||||
--dataset_repeat 100 \
|
||||
--model_id_with_origin_paths "krea/krea-realtime-video:krea-realtime-video-14b.safetensors,Wan-AI/Wan2.1-T2V-14B:models_t5_umt5-xxl-enc-bf16.pth,Wan-AI/Wan2.1-T2V-14B:Wan2.1_VAE.pth" \
|
||||
--learning_rate 1e-5 \
|
||||
--num_epochs 2 \
|
||||
--remove_prefix_in_ckpt "pipe.dit." \
|
||||
--output_path "./models/train/krea-realtime-video_full" \
|
||||
--trainable_models "dit"
|
||||
Reference in New Issue
Block a user