81 lines
1.9 KiB
YAML
81 lines
1.9 KiB
YAML
model:
|
|
base_learning_rate: 1.0e-06
|
|
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
|
params:
|
|
linear_start: 0.0015
|
|
linear_end: 0.0155
|
|
log_every_t: 100
|
|
timesteps: 1000
|
|
loss_type: l2
|
|
first_stage_key: image
|
|
cond_stage_key: LR_image
|
|
image_size: 64
|
|
channels: 3
|
|
concat_mode: true
|
|
cond_stage_trainable: false
|
|
unet_config:
|
|
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
|
params:
|
|
image_size: 64
|
|
in_channels: 6
|
|
out_channels: 3
|
|
model_channels: 160
|
|
attention_resolutions:
|
|
- 16
|
|
- 8
|
|
num_res_blocks: 2
|
|
channel_mult:
|
|
- 1
|
|
- 2
|
|
- 2
|
|
- 4
|
|
num_head_channels: 32
|
|
first_stage_config:
|
|
target: ldm.models.autoencoder.VQModelInterface
|
|
params:
|
|
embed_dim: 3
|
|
n_embed: 8192
|
|
monitor: val/rec_loss
|
|
ddconfig:
|
|
double_z: false
|
|
z_channels: 3
|
|
resolution: 256
|
|
in_channels: 3
|
|
out_ch: 3
|
|
ch: 128
|
|
ch_mult:
|
|
- 1
|
|
- 2
|
|
- 4
|
|
num_res_blocks: 2
|
|
attn_resolutions: []
|
|
dropout: 0.0
|
|
lossconfig:
|
|
target: torch.nn.Module # todo
|
|
cond_stage_config:
|
|
target: torch.nn.Identity
|
|
data:
|
|
target: cutlit.DataModuleFromConfig
|
|
params:
|
|
batch_size: 64
|
|
wrap: false
|
|
num_workers: 12
|
|
train:
|
|
target: ldm.data.openimages.SuperresOpenImagesAdvancedTrain
|
|
params:
|
|
size: 256
|
|
degradation: bsrgan_light
|
|
downscale_f: 4
|
|
min_crop_f: 0.5
|
|
max_crop_f: 1.0
|
|
random_crop: true
|
|
validation:
|
|
target: ldm.data.openimages.SuperresOpenImagesAdvancedValidation
|
|
params:
|
|
size: 256
|
|
degradation: bsrgan_light
|
|
downscale_f: 4
|
|
min_crop_f: 0.5
|
|
max_crop_f: 1.0
|
|
random_crop: true
|