|
model: |
|
target: imagedream.ldm.interface.LatentDiffusionInterface |
|
params: |
|
linear_start: 0.00085 |
|
linear_end: 0.0120 |
|
timesteps: 1000 |
|
scale_factor: 0.18215 |
|
parameterization: "eps" |
|
|
|
unet_config: |
|
target: imagedream.ldm.modules.diffusionmodules.openaimodel.MultiViewUNetModel |
|
params: |
|
image_size: 32 |
|
in_channels: 8 |
|
out_channels: 8 |
|
model_channels: 320 |
|
attention_resolutions: [ 4, 2, 1 ] |
|
num_res_blocks: 2 |
|
channel_mult: [ 1, 2, 4, 4 ] |
|
num_head_channels: 64 |
|
use_spatial_transformer: True |
|
use_linear_in_transformer: True |
|
transformer_depth: 1 |
|
context_dim: 1024 |
|
use_checkpoint: False |
|
legacy: False |
|
camera_dim: 16 |
|
with_ip: True |
|
ip_dim: 16 |
|
ip_mode: "local_resample" |
|
|
|
vae_config: |
|
target: imagedream.ldm.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 |
|
|
|
clip_config: |
|
target: imagedream.ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder |
|
params: |
|
freeze: True |
|
layer: "penultimate" |
|
ip_mode: "local_resample" |
|
|