mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
78 lines
1.8 KiB
YAML
78 lines
1.8 KiB
YAML
model:
|
|
base_learning_rate: 2.0e-06
|
|
target: ldm.models.diffusion.ddpm.LatentDiffusion
|
|
params:
|
|
linear_start: 0.0015
|
|
linear_end: 0.0195
|
|
num_timesteps_cond: 1
|
|
log_every_t: 200
|
|
timesteps: 1000
|
|
first_stage_key: image
|
|
cond_stage_key: caption
|
|
image_size: 64
|
|
channels: 3
|
|
cond_stage_trainable: true
|
|
conditioning_key: crossattn
|
|
monitor: val/loss_simple_ema
|
|
unet_config:
|
|
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
|
|
params:
|
|
image_size: 64
|
|
in_channels: 3
|
|
out_channels: 3
|
|
model_channels: 192
|
|
attention_resolutions:
|
|
- 8
|
|
- 4
|
|
- 2
|
|
num_res_blocks: 2
|
|
channel_mult:
|
|
- 1
|
|
- 2
|
|
- 3
|
|
- 5
|
|
num_head_channels: 32
|
|
use_spatial_transformer: true
|
|
transformer_depth: 1
|
|
context_dim: 640
|
|
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.BERTEmbedder
|
|
params:
|
|
n_embed: 640
|
|
n_layer: 32
|
|
data:
|
|
target: main.DataModuleFromConfig
|
|
params:
|
|
batch_size: 28
|
|
num_workers: 10
|
|
wrap: false
|
|
train:
|
|
target: ldm.data.previews.pytorch_dataset.PreviewsTrain
|
|
params:
|
|
size: 256
|
|
validation:
|
|
target: ldm.data.previews.pytorch_dataset.PreviewsValidation
|
|
params:
|
|
size: 256
|