model: | |
base_learning_rate: 1.0e-05 | |
target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.src.model.CustomDiffusion | |
params: | |
linear_start: 0.00085 | |
linear_end: 0.012 | |
num_timesteps_cond: 1 | |
log_every_t: 200 | |
timesteps: 1000 | |
first_stage_key: image | |
cond_stage_key: caption | |
image_size: 64 | |
channels: 4 | |
cond_stage_trainable: true | |
add_token: true | |
freeze_model: crossattn-kv | |
conditioning_key: crossattn | |
monitor: val/loss_simple_ema | |
scale_factor: 0.18215 | |
use_ema: false | |
unet_config: | |
target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.stable-diffusion.ldm.modules.diffusionmodules.openaimodel.UNetModel | |
params: | |
image_size: 64 | |
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 | |
use_spatial_transformer: true | |
transformer_depth: 1 | |
context_dim: 768 | |
use_checkpoint: false | |
legacy: false | |
first_stage_config: | |
target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.stable-diffusion.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 | |
cond_stage_config: | |
target: src.imagen_hub.pipelines.custom_diffusion.custom_diffusion_src.src.custom_modules.FrozenCLIPEmbedderWrapper | |
params: | |
modifier_token: <new1>+<new2> | |
ckpt_path: null | |
data: | |
target: train.DataModuleFromConfig | |
params: | |
batch_size: 2 | |
num_workers: 4 | |
wrap: false | |
train: | |
target: src.finetune_data.MaskBase | |
params: | |
size: 512 | |
caption: <new1> dog | |
reg_caption: real_reg/samples_dog/caption.txt | |
datapath: data/dog | |
reg_datapath: real_reg/samples_dog/images.txt | |
train2: | |
target: src.finetune_data.MaskBase | |
params: | |
size: 512 | |
caption: <new2> car | |
reg_caption: real_reg/samples_car/caption.txt | |
datapath: data/car | |
reg_datapath: real_reg/samples_car/images.txt | |
validation: | |
target: src.finetune_data.MaskBase | |
params: | |
size: 512 | |
caption: <new1> dog | |
reg_caption: real_reg/samples_dog/caption.txt | |
datapath: data/dog | |
reg_datapath: real_reg/samples_dog/images.txt | |