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Runtime error
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: 2560 | |
num_classes: sequential | |
use_checkpoint: True | |
in_channels: 4 | |
out_channels: 4 | |
model_channels: 384 | |
attention_resolutions: [4, 2] | |
num_res_blocks: 2 | |
channel_mult: [1, 2, 4, 4] | |
num_head_channels: 64 | |
use_linear_in_transformer: True | |
transformer_depth: 4 | |
context_dim: [1280, 1280, 1280, 1280] | |
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.FrozenOpenCLIPEmbedder2 | |
params: | |
arch: ViT-bigG-14 | |
version: laion2b_s39b_b160k | |
legacy: False | |
freeze: True | |
layer: penultimate | |
always_return_pooled: True | |
- 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: aesthetic_score | |
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 | |