|
model: |
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target: cldm.cldm.ControlLDM |
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params: |
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parameterization: "v" |
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linear_start: 0.00085 |
|
linear_end: 0.0120 |
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num_timesteps_cond: 1 |
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log_every_t: 200 |
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timesteps: 1000 |
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first_stage_key: "jpg" |
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cond_stage_key: "txt" |
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control_key: "hint" |
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image_size: 64 |
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channels: 4 |
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cond_stage_trainable: false |
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conditioning_key: crossattn |
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monitor: val/loss_simple_ema |
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scale_factor: 0.18215 |
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use_ema: False |
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only_mid_control: False |
|
|
|
control_stage_config: |
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target: cldm.cldm.ControlNet |
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params: |
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use_checkpoint: True |
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image_size: 32 |
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in_channels: 4 |
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hint_channels: 3 |
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model_channels: 320 |
|
attention_resolutions: [ 4, 2, 1 ] |
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num_res_blocks: 2 |
|
channel_mult: [ 1, 2, 4, 4 ] |
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num_head_channels: 64 |
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use_spatial_transformer: True |
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use_linear_in_transformer: True |
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transformer_depth: 1 |
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context_dim: 1024 |
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legacy: False |
|
|
|
unet_config: |
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target: cldm.cldm.ControlledUnetModel |
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params: |
|
use_checkpoint: True |
|
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_head_channels: 64 |
|
use_spatial_transformer: True |
|
use_linear_in_transformer: True |
|
transformer_depth: 1 |
|
context_dim: 1024 |
|
legacy: False |
|
|
|
first_stage_config: |
|
target: ldm.models.autoencoder.AutoencoderKL |
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params: |
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embed_dim: 4 |
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monitor: val/rec_loss |
|
ddconfig: |
|
|
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double_z: true |
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z_channels: 4 |
|
resolution: 256 |
|
in_channels: 3 |
|
out_ch: 3 |
|
ch: 128 |
|
ch_mult: |
|
- 1 |
|
- 2 |
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- 4 |
|
- 4 |
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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: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder |
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params: |
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freeze: True |
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layer: "penultimate" |
|
|
