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model: | |
base_learning_rate: 1.0e-04 | |
target: sgm.models.video_diffusion.DiffusionEngine | |
params: | |
ckpt_path: ./ckpts/V3D_512.ckpt | |
scale_factor: 0.18215 | |
disable_first_stage_autocast: true | |
input_key: latents | |
log_keys: [] | |
scheduler_config: | |
target: sgm.lr_scheduler.LambdaLinearScheduler | |
params: | |
warm_up_steps: | |
- 1 | |
cycle_lengths: | |
- 10000000000000 | |
f_start: | |
- 1.0e-06 | |
f_max: | |
- 1.0 | |
f_min: | |
- 1.0 | |
denoiser_config: | |
target: sgm.modules.diffusionmodules.denoiser.Denoiser | |
params: | |
scaling_config: | |
target: sgm.modules.diffusionmodules.denoiser_scaling.VScalingWithEDMcNoise | |
network_config: | |
target: sgm.modules.diffusionmodules.video_model.VideoUNet | |
params: | |
adm_in_channels: 768 | |
num_classes: sequential | |
use_checkpoint: true | |
in_channels: 8 | |
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 | |
use_linear_in_transformer: true | |
transformer_depth: 1 | |
context_dim: 1024 | |
spatial_transformer_attn_type: softmax-xformers | |
extra_ff_mix_layer: true | |
use_spatial_context: true | |
merge_strategy: learned_with_images | |
video_kernel_size: | |
- 3 | |
- 1 | |
- 1 | |
conditioner_config: | |
target: sgm.modules.GeneralConditioner | |
params: | |
emb_models: | |
- is_trainable: false | |
ucg_rate: 0.2 | |
input_key: cond_frames_without_noise | |
target: sgm.modules.encoders.modules.IdentityEncoder | |
- input_key: fps_id | |
is_trainable: true | |
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
params: | |
outdim: 256 | |
- input_key: motion_bucket_id | |
is_trainable: true | |
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
params: | |
outdim: 256 | |
- input_key: cond_frames | |
is_trainable: false | |
ucg_rate: 0.2 | |
target: sgm.modules.encoders.modules.IdentityEncoder | |
- input_key: cond_aug | |
is_trainable: true | |
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | |
params: | |
outdim: 256 | |
first_stage_config: | |
target: sgm.models.autoencoder.AutoencodingEngine | |
params: | |
loss_config: | |
target: torch.nn.Identity | |
regularizer_config: | |
target: sgm.modules.autoencoding.regularizers.DiagonalGaussianRegularizer | |
encoder_config: | |
target: sgm.modules.diffusionmodules.model.Encoder | |
params: | |
attn_type: vanilla | |
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 | |
decoder_config: | |
target: sgm.modules.autoencoding.temporal_ae.VideoDecoder | |
params: | |
attn_type: vanilla | |
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 | |
video_kernel_size: | |
- 3 | |
- 1 | |
- 1 | |
sampler_config: | |
target: sgm.modules.diffusionmodules.sampling.EulerEDMSampler | |
params: | |
num_steps: 30 | |
discretization_config: | |
target: sgm.modules.diffusionmodules.discretizer.EDMDiscretization | |
params: | |
sigma_max: 700.0 | |
guider_config: | |
target: sgm.modules.diffusionmodules.guiders.LinearPredictionGuider | |
params: | |
max_scale: 3.5 | |
min_scale: 3.5 | |
num_frames: 18 | |
loss_fn_config: | |
target: sgm.modules.diffusionmodules.loss.StandardDiffusionLoss | |
params: | |
batch2model_keys: | |
- num_video_frames | |
- image_only_indicator | |
loss_weighting_config: | |
target: sgm.modules.diffusionmodules.loss_weighting.EDMWeighting | |
params: | |
sigma_data: 1.0 | |
sigma_sampler_config: | |
target: sgm.modules.diffusionmodules.sigma_sampling.EDMSampling | |
params: | |
p_mean: 1.5 | |
p_std: 2.0 |