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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: "image"
first_stage_key_cond: ["agn", "agn_mask", "image_densepose"]
cond_stage_key: "cloth"
control_key: "cloth"
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
use_VAEdownsample: True
use_lastzc: True
use_imageCLIP: True
use_pbe_weight: True
u_cond_percent: 0.2
use_attn_mask: False
control_stage_config:
target: cldm.warping_cldm_network.NoZeroConvControlNet
params:
image_size: 32
in_channels: 13
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
cond_first_ch: 4
unet_config:
target: cldm.warping_cldm_network.StableVITON
params:
image_size: 32
in_channels: 13
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
dim_head_denorm: 1
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
validation_config:
ddim_steps: 50
eta: 0.0
scale: 1.0
cond_stage_config:
target: ldm.modules.image_encoders.modules.FrozenCLIPImageEmbedder
dataset_name: VITONHDDataset
default_prompt: ""
log_images_kwargs:
unconditional_guidance_scale: 5.0
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