|
model:
|
|
pretrained_checkpoint: checkpoints/dynamicrafter_1024_v1/model.ckpt
|
|
base_learning_rate: 1.0e-05
|
|
scale_lr: False
|
|
target: lvdm.models.ddpm3d.LatentVisualDiffusion
|
|
params:
|
|
rescale_betas_zero_snr: True
|
|
parameterization: "v"
|
|
linear_start: 0.00085
|
|
linear_end: 0.012
|
|
num_timesteps_cond: 1
|
|
log_every_t: 200
|
|
timesteps: 1000
|
|
first_stage_key: video
|
|
cond_stage_key: caption
|
|
cond_stage_trainable: False
|
|
image_proj_model_trainable: True
|
|
conditioning_key: hybrid
|
|
image_size: [72, 128]
|
|
channels: 4
|
|
scale_by_std: False
|
|
scale_factor: 0.18215
|
|
use_ema: False
|
|
uncond_prob: 0.05
|
|
uncond_type: 'empty_seq'
|
|
rand_cond_frame: true
|
|
use_dynamic_rescale: true
|
|
base_scale: 0.3
|
|
fps_condition_type: 'fps'
|
|
perframe_ae: True
|
|
|
|
unet_config:
|
|
target: lvdm.modules.networks.openaimodel3d.UNetModel
|
|
params:
|
|
in_channels: 8
|
|
out_channels: 4
|
|
model_channels: 320
|
|
attention_resolutions:
|
|
- 4
|
|
- 2
|
|
- 1
|
|
num_res_blocks: 2
|
|
channel_mult:
|
|
- 1
|
|
- 2
|
|
- 4
|
|
- 4
|
|
dropout: 0.1
|
|
num_head_channels: 64
|
|
transformer_depth: 1
|
|
context_dim: 1024
|
|
use_linear: true
|
|
use_checkpoint: True
|
|
temporal_conv: True
|
|
temporal_attention: True
|
|
temporal_selfatt_only: true
|
|
use_relative_position: false
|
|
use_causal_attention: False
|
|
temporal_length: 16
|
|
addition_attention: true
|
|
image_cross_attention: true
|
|
default_fs: 10
|
|
fs_condition: true
|
|
|
|
first_stage_config:
|
|
target: lvdm.models.autoencoder.AutoencoderKL
|
|
params:
|
|
embed_dim: 4
|
|
monitor: val/rec_loss
|
|
ddconfig:
|
|
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
|
|
|
|
cond_stage_config:
|
|
target: lvdm.modules.encoders.condition.FrozenOpenCLIPEmbedder
|
|
params:
|
|
freeze: true
|
|
layer: "penultimate"
|
|
|
|
img_cond_stage_config:
|
|
target: lvdm.modules.encoders.condition.FrozenOpenCLIPImageEmbedderV2
|
|
params:
|
|
freeze: true
|
|
|
|
image_proj_stage_config:
|
|
target: lvdm.modules.encoders.resampler.Resampler
|
|
params:
|
|
dim: 1024
|
|
depth: 4
|
|
dim_head: 64
|
|
heads: 12
|
|
num_queries: 16
|
|
embedding_dim: 1280
|
|
output_dim: 1024
|
|
ff_mult: 4
|
|
video_length: 16
|
|
|
|
data:
|
|
target: utils_data.DataModuleFromConfig
|
|
params:
|
|
batch_size: 1
|
|
num_workers: 12
|
|
wrap: false
|
|
train:
|
|
target: lvdm.data.webvid.WebVid
|
|
params:
|
|
data_dir: <WebVid10M DATA>
|
|
meta_path: <.csv FILE>
|
|
video_length: 16
|
|
frame_stride: 6
|
|
load_raw_resolution: true
|
|
resolution: [576, 1024]
|
|
spatial_transform: resize_center_crop
|
|
random_fs: true
|
|
|
|
lightning:
|
|
precision: 16
|
|
|
|
trainer:
|
|
benchmark: True
|
|
accumulate_grad_batches: 2
|
|
max_steps: 100000
|
|
|
|
log_every_n_steps: 50
|
|
|
|
val_check_interval: 0.5
|
|
gradient_clip_algorithm: 'norm'
|
|
gradient_clip_val: 0.5
|
|
callbacks:
|
|
model_checkpoint:
|
|
target: pytorch_lightning.callbacks.ModelCheckpoint
|
|
params:
|
|
every_n_train_steps: 9000
|
|
filename: "{epoch}-{step}"
|
|
save_weights_only: True
|
|
metrics_over_trainsteps_checkpoint:
|
|
target: pytorch_lightning.callbacks.ModelCheckpoint
|
|
params:
|
|
filename: '{epoch}-{step}'
|
|
save_weights_only: True
|
|
every_n_train_steps: 10000
|
|
batch_logger:
|
|
target: callbacks.ImageLogger
|
|
params:
|
|
batch_frequency: 500
|
|
to_local: False
|
|
max_images: 8
|
|
log_images_kwargs:
|
|
ddim_steps: 50
|
|
unconditional_guidance_scale: 7.5
|
|
timestep_spacing: uniform_trailing
|
|
guidance_rescale: 0.7 |
