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# Define dataset
dataset = dict(
type="VideoTextDataset",
data_path="/home/zhaowangbo/data/csv/image-v1_1_ext_noempty_rcp_clean_info.csv",
num_frames=1,
frame_interval=3,
image_size=(2048, 2048),
)
# Define acceleration
num_workers = 4
dtype = "bf16"
grad_checkpoint = True
plugin = "zero2"
sp_size = 1
# Define model
model = dict(
type="PixArt-1B/2",
space_scale=4.0,
no_temporal_pos_emb=True,
from_pretrained="PixArt-1B-2.pth",
enable_flash_attn=True,
enable_layernorm_kernel=True,
)
vae = dict(
type="VideoAutoencoderKL",
from_pretrained="PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
subfolder="vae",
)
text_encoder = dict(
type="t5",
from_pretrained="DeepFloyd/t5-v1_1-xxl",
model_max_length=300,
)
scheduler = dict(
type="iddpm",
timestep_respacing="",
)
# Others
seed = 42
outputs = "outputs"
wandb = False
epochs = 1000
log_every = 10
ckpt_every = 1000
load = None
batch_size = 4
lr = 2e-5
grad_clip = 1.0
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