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Update cc12m_256x256.yaml with diffusion_config addition and use null as a correct version of None #13

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15 changes: 15 additions & 0 deletions configs/models/cc12m_1024x1024.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -102,6 +102,21 @@ unet_config:
temporal_mode: false
temporal_positional_encoding: false
temporal_spatial_ds: false
diffusion_config:
sampler_config:
num_diffusion_steps: 1000
reproject_signal: False
schedule_type: DEEPFLOYD
prediction_type: V_PREDICTION
loss_target_type: DDPM
beta_start: 0.0001
beta_end: 0.02
threshold_function: CLIP
rescale_schedule: 1.0
schedule_shifted: True
model_output_scale: 0.0
use_vdm_loss_weights: False
no_use_residual: true

# import defaults
# reader-config-file: configs/datasets/reader_config.yaml
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17 changes: 16 additions & 1 deletion configs/models/cc12m_256x256.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ unet_config:
conditioning_feature_dim: -1
conditioning_feature_proj_dim: -1
freeze_inner_unet: false
initialize_inner_with_pretrained: None
initialize_inner_with_pretrained: null
inner_config:
attention_levels: [1, 2]
conditioning_feature_dim: -1
Expand Down Expand Up @@ -76,6 +76,21 @@ unet_config:
temporal_mode: false
temporal_positional_encoding: false
temporal_spatial_ds: false
diffusion_config:
sampler_config:
num_diffusion_steps: 1000
reproject_signal: False
schedule_type: DEEPFLOYD
prediction_type: V_PREDICTION
loss_target_type: DDPM
beta_start: 0.0001
beta_end: 0.02
threshold_function: CLIP
rescale_schedule: 1.0
schedule_shifted: True
model_output_scale: 0.0
use_vdm_loss_weights: False
no_use_residual: true

reader_config:
image_size: 256
Expand Down