model: | |
target: cldm.cldm.ControlLDM | |
params: | |
linear_start: 0.00085 | |
linear_end: 0.0120 | |
num_timesteps_cond: 1 | |
log_every_t: 200 | |
timesteps: 1000 | |
first_stage_key: "jpg" | |
cond_stage_key: "txt" | |
control_key: "hint" | |
image_size: 64 | |
channels: 4 | |
cond_stage_trainable: false | |
conditioning_key: crossattn | |
monitor: val/loss_simple_ema | |
scale_factor: 0.18215 | |
use_ema: False | |
only_mid_control: False | |
global_average_pooling: True | |
control_stage_config: | |
target: cldm.cldm.ControlNet | |
params: | |
image_size: 32 # unused | |
in_channels: 4 | |
hint_channels: 3 | |
model_channels: 320 | |
attention_resolutions: [ 4, 2, 1 ] | |
num_res_blocks: 2 | |
channel_mult: [ 1, 2, 4, 4 ] | |
num_heads: 8 | |
use_spatial_transformer: True | |
transformer_depth: 1 | |
context_dim: 768 | |
use_checkpoint: True | |
legacy: False | |
unet_config: | |
target: cldm.cldm.ControlledUnetModel | |
params: | |
image_size: 32 # unused | |
in_channels: 4 | |
out_channels: 4 | |
model_channels: 320 | |
attention_resolutions: [ 4, 2, 1 ] | |
num_res_blocks: 2 | |
channel_mult: [ 1, 2, 4, 4 ] | |
num_heads: 8 | |
use_spatial_transformer: True | |
transformer_depth: 1 | |
context_dim: 768 | |
use_checkpoint: True | |
legacy: False | |
first_stage_config: | |
target: ldm.models.autoencoder.AutoencoderKL | |
params: | |
embed_dim: 4 | |
monitor: val/rec_loss | |
ddconfig: | |
double_z: true | |
z_channels: 4 | |
resolution: 256 | |
in_channels: 3 | |
out_ch: 3 | |
ch: 128 | |
ch_mult: | |
- 1 | |
- 2 | |
- 4 | |
- 4 | |
num_res_blocks: 2 | |
attn_resolutions: [] | |
dropout: 0.0 | |
lossconfig: | |
target: torch.nn.Identity | |
cond_stage_config: | |
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder | |