dynamcraf2 / configs /inference_256_v1.0.yaml
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model:
target: lvdm.models.ddpm3d.LatentVisualDiffusion
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: hybrid
image_size: [32, 32]
channels: 4
scale_by_std: False
scale_factor: 0.18215
use_ema: False
uncond_type: 'empty_seq'
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
image_cross_attention_scale_learnable: true
default_fs: 3
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