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model:
target: lvdm.models.ddpm3d.LatentDiffusion
params:
linear_start: 0.00085
linear_end: 0.012
num_timesteps_cond: 1
timesteps: 1000
first_stage_key: video
cond_stage_key: caption
cond_stage_trainable: false
conditioning_key: crossattn
image_size:
- 40
- 64
channels: 4
scale_by_std: false
scale_factor: 0.18215
use_ema: false
uncond_type: empty_seq
use_scale: true
scale_b: 0.7
unet_config:
target: lvdm.modules.networks.openaimodel3d.UNetModel
params:
in_channels: 4
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
transformer_depth: 1
context_dim: 1024
use_linear: true
use_checkpoint: false
temporal_conv: true
temporal_attention: true
temporal_selfatt_only: true
use_relative_position: false
use_causal_attention: false
temporal_length: 16
addition_attention: true
fps_cond: 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: 512
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
max_length: 200
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