mirror of
https://github.com/deepseek-ai/DreamCraft3D
synced 2024-12-04 18:15:11 +00:00
118 lines
3.0 KiB
YAML
Executable File
118 lines
3.0 KiB
YAML
Executable File
model:
|
|
base_learning_rate: 1.0e-04
|
|
target: extern.ldm_zero123.models.diffusion.ddpm.LatentDiffusion
|
|
params:
|
|
linear_start: 0.00085
|
|
linear_end: 0.0120
|
|
num_timesteps_cond: 1
|
|
log_every_t: 200
|
|
timesteps: 1000
|
|
first_stage_key: "image_target"
|
|
cond_stage_key: "image_cond"
|
|
image_size: 32
|
|
channels: 4
|
|
cond_stage_trainable: false # Note: different from the one we trained before
|
|
conditioning_key: hybrid
|
|
monitor: val/loss_simple_ema
|
|
scale_factor: 0.18215
|
|
|
|
scheduler_config: # 10000 warmup steps
|
|
target: extern.ldm_zero123.lr_scheduler.LambdaLinearScheduler
|
|
params:
|
|
warm_up_steps: [ 100 ]
|
|
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
|
|
f_start: [ 1.e-6 ]
|
|
f_max: [ 1. ]
|
|
f_min: [ 1. ]
|
|
|
|
unet_config:
|
|
target: extern.ldm_zero123.modules.diffusionmodules.openaimodel.UNetModel
|
|
params:
|
|
image_size: 32 # unused
|
|
in_channels: 8
|
|
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: extern.ldm_zero123.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: extern.ldm_zero123.modules.encoders.modules.FrozenCLIPImageEmbedder
|
|
|
|
|
|
# data:
|
|
# target: extern.ldm_zero123.data.simple.ObjaverseDataModuleFromConfig
|
|
# params:
|
|
# root_dir: 'views_whole_sphere'
|
|
# batch_size: 192
|
|
# num_workers: 16
|
|
# total_view: 4
|
|
# train:
|
|
# validation: False
|
|
# image_transforms:
|
|
# size: 256
|
|
|
|
# validation:
|
|
# validation: True
|
|
# image_transforms:
|
|
# size: 256
|
|
|
|
|
|
# lightning:
|
|
# find_unused_parameters: false
|
|
# metrics_over_trainsteps_checkpoint: True
|
|
# modelcheckpoint:
|
|
# params:
|
|
# every_n_train_steps: 5000
|
|
# callbacks:
|
|
# image_logger:
|
|
# target: main.ImageLogger
|
|
# params:
|
|
# batch_frequency: 500
|
|
# max_images: 32
|
|
# increase_log_steps: False
|
|
# log_first_step: True
|
|
# log_images_kwargs:
|
|
# use_ema_scope: False
|
|
# inpaint: False
|
|
# plot_progressive_rows: False
|
|
# plot_diffusion_rows: False
|
|
# N: 32
|
|
# unconditional_scale: 3.0
|
|
# unconditional_label: [""]
|
|
|
|
# trainer:
|
|
# benchmark: True
|
|
# val_check_interval: 5000000 # really sorry
|
|
# num_sanity_val_steps: 0
|
|
# accumulate_grad_batches: 1
|