File size: 2,265 Bytes
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model:
base_learning_rate: 3e-05
target: ldm.models.diffusion.control.ControlLDM
params:
linear_start: 0.00085
linear_end: 0.0120
log_every_t: 200
timesteps: 1000
image_size: 64
channels: 4
u_cond_percent: 0.2
scale_factor: 0.18215
use_ema: False
control_stage_config:
target: ldm.models.diffusion.control.ControlNet
params:
use_checkpoint: True
in_channels: 9
hint_channels: 5
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_head_channels: 64
transformer_depth: 1
context_dim: 768
unet_config:
target: ldm.models.diffusion.control.ControlledUnetModel
params:
image_size: 32 # unused
in_channels: 9
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
add_conv_in_front_of_unet: 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.FrozenCLIPImageEmbedder
data:
target: test.DataModuleFromConfig
params:
batch_size: 1
wrap: False
test:
target: ldm.data.image_dresscode.OpenImageDataset
params:
state: test
dataset_dir: datasets/dresscode
type: unpaired
lightning:
trainer:
num_nodes: 1
profiler: "simple"
accelerator: 'ddp'
gpus: "0,1" |