| model: | |
| target: sgm.models.diffusion.DiffusionEngine | |
| params: | |
| scale_factor: 0.13025 | |
| disable_first_stage_autocast: True | |
| denoiser_config: | |
| target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser | |
| params: | |
| num_idx: 1000 | |
| scaling_config: | |
| target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling | |
| discretization_config: | |
| target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization | |
| network_config: | |
| target: sgm.modules.diffusionmodules.openaimodel.UNetModel | |
| params: | |
| adm_in_channels: 2816 | |
| num_classes: sequential | |
| use_checkpoint: True | |
| in_channels: 4 | |
| out_channels: 4 | |
| model_channels: 320 | |
| attention_resolutions: [4, 2] | |
| num_res_blocks: 2 | |
| channel_mult: [1, 2, 4] | |
| num_head_channels: 64 | |
| use_linear_in_transformer: True | |
| transformer_depth: [1, 2, 10] | |
| context_dim: 2048 | |
| spatial_transformer_attn_type: softmax-xformers | |
| conditioner_config: | |
| target: sgm.modules.GeneralConditioner | |
| params: | |
| emb_models: | |
| - is_trainable: False | |
| input_key: txt | |
| target: sgm.modules.encoders.modules.FrozenCLIPEmbedder | |
| params: | |
| layer: hidden | |
| layer_idx: 11 | |
| - is_trainable: False | |
| input_key: txt | |
| target: sgm.modules.encoders.modules.FrozenOpenCLIPEmbedder2 | |
| params: | |
| arch: ViT-bigG-14 | |
| version: laion2b_s39b_b160k | |
| freeze: True | |
| layer: penultimate | |
| always_return_pooled: True | |
| legacy: False | |
| - is_trainable: False | |
| input_key: original_size_as_tuple | |
| target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
| params: | |
| outdim: 256 | |
| - is_trainable: False | |
| input_key: crop_coords_top_left | |
| target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
| params: | |
| outdim: 256 | |
| - is_trainable: False | |
| input_key: target_size_as_tuple | |
| target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
| params: | |
| outdim: 256 | |
| first_stage_config: | |
| target: sgm.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 | |