2021-12-20 19:23:41 -07:00
|
|
|
model:
|
|
|
|
|
base_learning_rate: 5.0e-5 # set to target_lr by starting main.py with '--scale_lr False'
|
|
|
|
|
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
|
|
|
|
params:
|
|
|
|
|
linear_start: 0.0015
|
|
|
|
|
linear_end: 0.0155
|
|
|
|
|
num_timesteps_cond: 1
|
|
|
|
|
log_every_t: 200
|
|
|
|
|
timesteps: 1000
|
|
|
|
|
loss_type: l1
|
|
|
|
|
first_stage_key: "image"
|
|
|
|
|
cond_stage_key: "image"
|
|
|
|
|
image_size: 32
|
|
|
|
|
channels: 4
|
|
|
|
|
cond_stage_trainable: False
|
|
|
|
|
concat_mode: False
|
|
|
|
|
scale_by_std: True
|
|
|
|
|
monitor: 'val/loss_simple_ema'
|
|
|
|
|
|
|
|
|
|
scheduler_config: # 10000 warmup steps
|
|
|
|
|
target: ldm.lr_scheduler.LambdaLinearScheduler
|
|
|
|
|
params:
|
|
|
|
|
warm_up_steps: [10000]
|
|
|
|
|
cycle_lengths: [10000000000000]
|
|
|
|
|
f_start: [1.e-6]
|
|
|
|
|
f_max: [1.]
|
|
|
|
|
f_min: [ 1.]
|
|
|
|
|
|
|
|
|
|
unet_config:
|
|
|
|
|
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
|
|
|
|
params:
|
|
|
|
|
image_size: 32
|
|
|
|
|
in_channels: 4
|
|
|
|
|
out_channels: 4
|
|
|
|
|
model_channels: 192
|
|
|
|
|
attention_resolutions: [ 1, 2, 4, 8 ] # 32, 16, 8, 4
|
|
|
|
|
num_res_blocks: 2
|
|
|
|
|
channel_mult: [ 1,2,2,4,4 ] # 32, 16, 8, 4, 2
|
|
|
|
|
num_heads: 8
|
|
|
|
|
use_scale_shift_norm: True
|
|
|
|
|
resblock_updown: True
|
|
|
|
|
|
|
|
|
|
first_stage_config:
|
|
|
|
|
target: ldm.models.autoencoder.AutoencoderKL
|
|
|
|
|
params:
|
|
|
|
|
embed_dim: 4
|
|
|
|
|
monitor: "val/rec_loss"
|
2021-12-22 07:57:23 -07:00
|
|
|
ckpt_path: "models/first_stage_models/kl-f8/model.ckpt"
|
2021-12-20 19:23:41 -07:00
|
|
|
ddconfig:
|
|
|
|
|
double_z: True
|
|
|
|
|
z_channels: 4
|
|
|
|
|
resolution: 256
|
|
|
|
|
in_channels: 3
|
|
|
|
|
out_ch: 3
|
|
|
|
|
ch: 128
|
|
|
|
|
ch_mult: [ 1,2,4,4 ] # num_down = len(ch_mult)-1
|
|
|
|
|
num_res_blocks: 2
|
|
|
|
|
attn_resolutions: [ ]
|
|
|
|
|
dropout: 0.0
|
|
|
|
|
lossconfig:
|
|
|
|
|
target: torch.nn.Identity
|
|
|
|
|
|
|
|
|
|
cond_stage_config: "__is_unconditional__"
|
|
|
|
|
|
|
|
|
|
data:
|
|
|
|
|
target: main.DataModuleFromConfig
|
|
|
|
|
params:
|
2021-12-22 07:57:23 -07:00
|
|
|
batch_size: 96
|
2021-12-20 19:23:41 -07:00
|
|
|
num_workers: 5
|
|
|
|
|
wrap: False
|
|
|
|
|
train:
|
|
|
|
|
target: ldm.data.lsun.LSUNChurchesTrain
|
|
|
|
|
params:
|
|
|
|
|
size: 256
|
|
|
|
|
validation:
|
|
|
|
|
target: ldm.data.lsun.LSUNChurchesValidation
|
|
|
|
|
params:
|
|
|
|
|
size: 256
|
|
|
|
|
|
|
|
|
|
lightning:
|
|
|
|
|
callbacks:
|
|
|
|
|
image_logger:
|
|
|
|
|
target: main.ImageLogger
|
|
|
|
|
params:
|
2021-12-22 07:57:23 -07:00
|
|
|
batch_frequency: 5000
|
2021-12-20 19:23:41 -07:00
|
|
|
max_images: 8
|
|
|
|
|
increase_log_steps: False
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
trainer:
|
|
|
|
|
benchmark: True
|
