| dataset: | |
| dataset: KMNIST | |
| image_size: 32 | |
| channels: 1 | |
| sample: | |
| method: ${method} | |
| model_path: YOUR PATH of pretrained ckpt | |
| image_output_path: out | |
| batch_size: 5 | |
| total_num: 100 | |
| work_dir: ${hydra:runtime.cwd} | |
| method: F-PNDM | |
| sample_speed: 50 | |
| seed: 42 | |
| model: | |
| _target_: src.model.scoresde.ddpm.DDPM | |
| nf: 128 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 2 | |
| - 2 | |
| num_res_blocks: 2 | |
| attn_resolutions: | |
| - 16 | |
| dropout: 0.1 | |
| num_channels: 1 | |
| resamp_with_conv: true | |
| image_size: 32 | |
| conditional: true | |
| centered: true | |
| scheduler: | |
| _target_: src.trainer.scheduler.Schedule | |
| beta_start: 0.0001 | |
| beta_end: 0.02 | |
| diffusion_step: 1000 | |
| train: | |
| optim_cfg: | |
| weight_decay: 0.0 | |
| optimizer: adam | |
| lr: 0.0002 | |
| beta1: 0.9 | |
| amsgrad: false | |
| eps: 1.0e-08 | |
| grad_clip: 1.0 | |
| epochs: 100 | |
| ema_rate: 0.9999 | |
| use_ema: true | |
| batch_size: 1024 | |
| num_workers: 6 | |
| save_path: ./save_ckpt | |