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# Dataset settings | |
dataset = dict( | |
type="VariableVideoTextDataset", | |
transform_name="resize_crop", | |
) | |
# webvid | |
bucket_config = { # 12s/it | |
"144p": {1: (1.0, 475), 51: (1.0, 51), 102: ((1.0, 0.33), 27), 204: ((1.0, 0.1), 13), 408: ((1.0, 0.1), 6)}, | |
# --- | |
"256": {1: (0.4, 297), 51: (0.5, 20), 102: ((0.5, 0.33), 10), 204: ((0.5, 0.1), 5), 408: ((0.5, 0.1), 2)}, | |
"240p": {1: (0.3, 297), 51: (0.4, 20), 102: ((0.4, 0.33), 10), 204: ((0.4, 0.1), 5), 408: ((0.4, 0.1), 2)}, | |
# --- | |
"360p": {1: (0.2, 141), 51: (0.15, 8), 102: ((0.15, 0.33), 4), 204: ((0.15, 0.1), 2), 408: ((0.15, 0.1), 1)}, | |
"512": {1: (0.1, 141)}, | |
# --- | |
"480p": {1: (0.1, 89)}, | |
# --- | |
"720p": {1: (0.05, 36)}, | |
"1024": {1: (0.05, 36)}, | |
# --- | |
"1080p": {1: (0.1, 5)}, | |
# --- | |
"2048": {1: (0.1, 5)}, | |
} | |
# Acceleration settings | |
num_workers = 8 | |
num_bucket_build_workers = 16 | |
dtype = "bf16" | |
seed = 42 | |
outputs = "outputs" | |
wandb = False | |
# Model settings | |
model = dict( | |
type="STDiT3-XL/2", | |
from_pretrained="/mnt/nfs-206/zangwei/opensora/outputs/1091-STDiT3-XL-2/epoch0-global_step8500", | |
qk_norm=True, | |
enable_flash_attn=True, | |
enable_layernorm_kernel=True, | |
) | |
vae = dict( | |
type="OpenSoraVAE_V1_2", | |
from_pretrained="pretrained_models/vae-pipeline", | |
micro_frame_size=17, | |
micro_batch_size=32, | |
) | |
text_encoder = dict( | |
type="t5", | |
from_pretrained="DeepFloyd/t5-v1_1-xxl", | |
model_max_length=300, | |
shardformer=True, | |
local_files_only=True, | |
) | |
# feature extraction settings | |
save_text_features = True | |
save_compressed_text_features = True | |
bin_size = 250 # 1GB, 4195 bins | |
log_time = False | |