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@@ -37,3 +37,4 @@ notification.mp3 | |
/node_modules | ||
/package-lock.json | ||
/.coverage* | ||
/test/test_outputs |
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model: | ||
target: sgm.models.diffusion.DiffusionEngine | ||
params: | ||
scale_factor: 0.13025 | ||
disable_first_stage_autocast: True | ||
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||
denoiser_config: | ||
target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser | ||
params: | ||
num_idx: 1000 | ||
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||
weighting_config: | ||
target: sgm.modules.diffusionmodules.denoiser_weighting.EpsWeighting | ||
scaling_config: | ||
target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling | ||
discretization_config: | ||
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization | ||
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||
network_config: | ||
target: sgm.modules.diffusionmodules.openaimodel.UNetModel | ||
params: | ||
adm_in_channels: 2816 | ||
num_classes: sequential | ||
use_checkpoint: True | ||
in_channels: 9 | ||
out_channels: 4 | ||
model_channels: 320 | ||
attention_resolutions: [4, 2] | ||
num_res_blocks: 2 | ||
channel_mult: [1, 2, 4] | ||
num_head_channels: 64 | ||
use_spatial_transformer: True | ||
use_linear_in_transformer: True | ||
transformer_depth: [1, 2, 10] # note: the first is unused (due to attn_res starting at 2) 32, 16, 8 --> 64, 32, 16 | ||
context_dim: 2048 | ||
spatial_transformer_attn_type: softmax-xformers | ||
legacy: False | ||
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||
conditioner_config: | ||
target: sgm.modules.GeneralConditioner | ||
params: | ||
emb_models: | ||
# crossattn cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenCLIPEmbedder | ||
params: | ||
layer: hidden | ||
layer_idx: 11 | ||
# crossattn and vector cond | ||
- 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 | ||
# vector cond | ||
- is_trainable: False | ||
input_key: original_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: crop_coords_top_left | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: target_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
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||
first_stage_config: | ||
target: sgm.models.autoencoder.AutoencoderKLInferenceWrapper | ||
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 |
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