| use_ema: true |
| output_dir: results/train |
| pretrained_model_path: /mnt/vepfs/zhaomin/projects/LargeData/checkpoints/stable-video-diffusion-img2vid/ |
| train_data: |
| file_path: /mnt/vepfs/zhaomin/projects/scence_fusion/improved-svd/finalre/webvid.csv |
| video_folder: /mnt/vepfs/bigdata/video_datasets/webvid/2M_train |
| sample_size: 320,512 |
| fps: 3 |
| sample_n_frames: 16 |
| validation_folder: /mnt/vepfs/zhaomin/projects/scence_fusion/improved-svd/SVD_diffusers/demo |
| motion_bucket_id: 20.0 |
| cfg_random_null_ratio: 0.1 |
| resume_path: '' |
| ema_decay: 0.9999 |
| noise_scheduler_kwargs: |
| P_mean: -1.2 |
| P_std: 1.2 |
| sigma_data: 1 |
| beta_m: 15 |
| a: 5 |
| max_train_steps: 100000 |
| validation_steps: 10 |
| learning_rate: 3.0e-05 |
| scale_lr: false |
| lr_scheduler: constant |
| train_batch_size: 1 |
| adam_beta1: 0.9 |
| adam_beta2: 0.999 |
| adam_weight_decay: 0.01 |
| adam_epsilon: 1.0e-08 |
| gradient_accumulation_steps: 1 |
| gradient_checkpointing: true |
| checkpointing_steps: 10000 |
| mixed_precision_training: true |
| global_seed: 23 |
| max_grad_norm: 1.0 |
|
|
