|
model: |
|
base_learning_rate: 1.0e-06 |
|
target: ldm.models.diffusion.ddpm.LatentDiffusion |
|
params: |
|
linear_start: 0.0015 |
|
linear_end: 0.0205 |
|
log_every_t: 100 |
|
timesteps: 1000 |
|
loss_type: l1 |
|
first_stage_key: image |
|
cond_stage_key: segmentation |
|
image_size: 64 |
|
channels: 3 |
|
concat_mode: true |
|
cond_stage_trainable: true |
|
unet_config: |
|
target: ldm.modules.diffusionmodules.openaimodel.UNetModel |
|
params: |
|
image_size: 64 |
|
in_channels: 6 |
|
out_channels: 3 |
|
model_channels: 128 |
|
attention_resolutions: |
|
- 32 |
|
- 16 |
|
- 8 |
|
num_res_blocks: 2 |
|
channel_mult: |
|
- 1 |
|
- 4 |
|
- 8 |
|
num_heads: 8 |
|
first_stage_config: |
|
target: ldm.models.autoencoder.VQModelInterface |
|
params: |
|
embed_dim: 3 |
|
n_embed: 8192 |
|
ddconfig: |
|
double_z: false |
|
z_channels: 3 |
|
resolution: 256 |
|
in_channels: 3 |
|
out_ch: 3 |
|
ch: 128 |
|
ch_mult: |
|
- 1 |
|
- 2 |
|
- 4 |
|
num_res_blocks: 2 |
|
attn_resolutions: [] |
|
dropout: 0.0 |
|
lossconfig: |
|
target: torch.nn.Identity |
|
cond_stage_config: |
|
target: ldm.modules.encoders.modules.SpatialRescaler |
|
params: |
|
n_stages: 2 |
|
in_channels: 182 |
|
out_channels: 3 |
|
|