|
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 |
|
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 |
|
|
