Spaces:
Runtime error
Runtime error
File size: 811 Bytes
eadd7b4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
_base_ = ['../PixArt_xl2_internal.py']
data_root = 'data'
image_list_json = ['data_info.json',]
data = dict(type='InternalData', root='InternData', image_list_json=image_list_json, transform='default_train', load_vae_feat=True)
image_size = 512
# model setting
model = 'PixArt_XL_2'
fp32_attention = True
load_from = None
vae_pretrained = "output/pretrained_models/sd-vae-ft-ema"
pe_interpolation = 1.0
# training setting
use_fsdp=False # if use FSDP mode
num_workers=10
train_batch_size = 38 # 32
num_epochs = 200 # 3
gradient_accumulation_steps = 1
grad_checkpointing = True
gradient_clip = 0.01
optimizer = dict(type='AdamW', lr=2e-5, weight_decay=3e-2, eps=1e-10)
lr_schedule_args = dict(num_warmup_steps=1000)
eval_sampling_steps = 200
log_interval = 20
save_model_epochs=1
work_dir = 'output/debug'
|