DreamEdit-DreamBooth-Models
/
dreamedit_official_ckpt
/teapot-vfz
/configs
/teapot2023-04-17T02-52-47-project.yaml
model: | |
base_learning_rate: 1.0e-06 | |
target: ldm.models.diffusion.ddpm.LatentDiffusion | |
params: | |
reg_weight: 1.0 | |
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 | |
conditioning_key: crossattn | |
monitor: val/loss_simple_ema | |
scale_factor: 0.18215 | |
use_ema: false | |
embedding_reg_weight: 0.0 | |
unfreeze_model: true | |
model_lr: 1.0e-06 | |
personalization_config: | |
target: ldm.modules.embedding_manager.EmbeddingManager | |
params: | |
placeholder_strings: | |
- '*' | |
initializer_words: | |
- sculpture | |
per_image_tokens: false | |
num_vectors_per_token: 1 | |
progressive_words: false | |
unet_config: | |
target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
params: | |
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_heads: 8 | |
use_spatial_transformer: true | |
transformer_depth: 1 | |
context_dim: 768 | |
use_checkpoint: true | |
legacy: false | |
first_stage_config: | |
target: ldm.models.autoencoder.AutoencoderKL | |
params: | |
embed_dim: 4 | |
monitor: val/rec_loss | |
ddconfig: | |
double_z: true | |
z_channels: 4 | |
resolution: 512 | |
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: ldm.modules.encoders.modules.FrozenCLIPEmbedder | |
ckpt_path: stable-diffusion-v-1-4-original/sd-v1-4-full-ema.ckpt | |
data: | |
target: main.DataModuleFromConfig | |
params: | |
batch_size: 1 | |
num_workers: 2 | |
wrap: false | |
train: | |
target: ldm.data.personalized.PersonalizedBase | |
params: | |
size: 512 | |
set: train | |
per_image_tokens: false | |
repeats: 100 | |
special_token: vfz | |
placeholder_token: teapot | |
reg: | |
target: ldm.data.personalized.PersonalizedBase | |
params: | |
size: 512 | |
set: train | |
reg: true | |
per_image_tokens: false | |
repeats: 10 | |
placeholder_token: teapot | |
validation: | |
target: ldm.data.personalized.PersonalizedBase | |
params: | |
size: 512 | |
set: val | |
per_image_tokens: false | |
repeats: 10 | |
placeholder_token: teapot | |