|
model: |
|
target: lvdm.models.ddpm3d.LatentDiffusion |
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params: |
|
linear_start: 0.00085 |
|
linear_end: 0.012 |
|
num_timesteps_cond: 1 |
|
log_every_t: 200 |
|
timesteps: 1000 |
|
first_stage_key: video |
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cond_stage_key: caption |
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image_size: |
|
- 32 |
|
- 32 |
|
video_length: 16 |
|
channels: 4 |
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cond_stage_trainable: false |
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conditioning_key: crossattn |
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scale_by_std: false |
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scale_factor: 0.18215 |
|
|
|
unet_config: |
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target: lvdm.models.modules.openaimodel3d.UNetModel |
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params: |
|
image_size: 32 |
|
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_heads: 8 |
|
transformer_depth: 1 |
|
context_dim: 768 |
|
use_checkpoint: true |
|
legacy: false |
|
kernel_size_t: 1 |
|
padding_t: 0 |
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temporal_length: 16 |
|
use_relative_position: 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: |
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target: torch.nn.Identity |
|
|
|
cond_stage_config: |
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target: lvdm.models.modules.condition_modules.FrozenCLIPEmbedder |