visconet / configs /pose_transfer.yaml
soonyau's picture
first commit
42b0b31
raw
history blame
4.5 kB
model:
target: visconet.visconet.ViscoNetLDM
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"
control_crossattn_key: "styles"
mask_key: "human_mask"
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
control_cond_config:
target: visconet.modules.ProjectLocalStyle
#target: visconet.modules.ClipImageEncoder
# params:
# context_dim: 1024
control_stage_config:
target: cldm.cldm.ControlNet
params:
use_checkpoint: True
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_head_channels: 64 # need to fix for flash-attn
use_spatial_transformer: True
use_linear_in_transformer: True
transformer_depth: 1
context_dim: 1024
legacy: False
unet_config:
target: cldm.cldm.ControlledUnetModel
params:
use_checkpoint: True
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_head_channels: 64 # need to fix for flash-attn
use_spatial_transformer: True
use_linear_in_transformer: True
transformer_depth: 1
context_dim: 1024
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
#attn_type: "vanilla-xformers"
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.FrozenOpenCLIPEmbedder
params:
freeze: True
layer: "penultimate"
style_embedding_config:
target: scripts.image_emb_hidden.ClipImageEncoder
dataset:
train:
target: visconet.deepfashion.DeepFashionDataset
params:
image_root: "/home/soon/datasets/deepfashion_inshop"
image_dir: img_512_padded
pose_dir: openpose_hand_512
style_dir: styles
style_postfix: _hidden
mask_dir: smpl_256
data_files:
- data/deepfashion/pairs-train-all.csv
- data/deepfashion/solo-train-all.csv
map_file: data/deepfashion/deepfashion_map.csv
style_emb_shape:
- 257
- 1024
style_names:
- background
- face
- hair
- headwear
- top
- outer
- bottom
- shoes
- accesories
val:
target: visconet.deepfashion.DeepFashionDataset
params:
image_root: "/home/soon/datasets/deepfashion_inshop"
image_dir: img_512_padded
pose_dir: openpose_hand_512
style_dir: styles
style_postfix: _hidden
mask_dir: smpl_256
data_files:
- data/deepfashion/solo-test-all.csv
map_file: data/deepfashion/deepfashion_map.csv
sample_ratio: 0.1
style_emb_shape:
- 257
- 1024
style_names:
- background
- face
- hair
- headwear
- top
- outer
- bottom
- shoes
- accesories
test:
target: visconet.deepfashion.DeepFashionDataset
params:
image_root: "/home/soon/datasets/deepfashion_inshop"
image_dir: img_512_padded
pose_dir: openpose_hand_512
style_dir: styles
style_postfix: _hidden
mask_dir: smpl_256
data_files:
- data/deepfashion/pairs-test-all.csv
map_file: data/deepfashion/deepfashion_map.csv
style_emb_shape:
- 257
- 1024
style_names:
- background
- face
- hair
- headwear
- top
- outer
- bottom
- shoes
- accesories