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| 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 | |
| scheduler_config: | |
| target: torch.optim.lr_scheduler.ReduceLROnPlateau | |
| monitor: val/loss_simple_ema | |
| params: | |
| mode: min | |
| factor: 0.5 | |
| patience: 3 | |
| cooldown: 0 | |
| min_lr: 0.00001 | |
| threshold: 0.001 | |
| verbose: True | |
| control_cond_config: | |
| target: visconet.modules.ProjectLocalStyle | |
| params: | |
| pool_size: 9 | |
| local_emb_size: 257 | |
| bias: True | |
| #target: visconet.modules.ClipImageEncoder | |
| 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_default_512 | |
| style_dir: styles_default | |
| 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: | |
| - 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_default_512 | |
| style_dir: styles_default | |
| style_postfix: _hidden | |
| mask_dir: smpl_256 | |
| data_files: | |
| - data/deepfashion/pairs-test-all.csv | |
| map_file: data/deepfashion/deepfashion_map.csv | |
| sample_ratio: 1.0 | |
| style_emb_shape: | |
| - 257 | |
| - 1024 | |
| style_names: | |
| - face | |
| - hair | |
| - headwear | |
| - top | |
| - outer | |
| - bottom | |
| - shoes | |
| - accesories |