base_config:
  - ./config_base.yaml
  - ./sr_base.yaml
# model
beta_schedule: cosine
beta_s: 0.008
beta_end: 0.02
hidden_size: 64
timesteps: 100
res: true
res_rescale: 2.0
up_input: false
use_wn: false
gn_groups: 0
use_rrdb: true
#rrdb_num_block: 8
#rrdb_num_feat: 32
rrdb_num_block: 17
rrdb_num_feat: 64
rrdb_ckpt: ''
unet_dim_mults: 1|2|2|4
clip_input: true
denoise_fn: unet
use_attn: false
aux_l1_loss: true
aux_ssim_loss: false
aux_percep_loss: false
loss_type: l1
pred_noise: true
clip_grad_norm: 10
weight_init: false
fix_rrdb: true

# train and eval
lr: 0.0002
decay_steps: 100000
accumulate_grad_batches: 1
style_interp: false
save_intermediate: false
show_training_process: false
print_arch: false