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num_frames = 1
fps = 1
image_size = (512, 512)
# Define model
model = dict(
type="PixArt-XL/2",
space_scale=1.0,
time_scale=1.0,
no_temporal_pos_emb=True,
from_pretrained="PRETRAINED_MODEL",
)
vae = dict(
type="VideoAutoencoderKL",
from_pretrained="stabilityai/sd-vae-ft-ema",
)
text_encoder = dict(
type="t5",
from_pretrained="DeepFloyd/t5-v1_1-xxl",
model_max_length=120,
)
scheduler = dict(
type="rflow",
num_sampling_steps=20,
cfg_scale=7.0,
)
dtype = "bf16"
# prompt_path = "./assets/texts/t2i_samples.txt"
prompt = [
"Pirate ship trapped in a cosmic maelstrom nebula.",
"A small cactus with a happy face in the Sahara desert.",
"A small cactus with a sad face in the Sahara desert.",
]
# Others
batch_size = 2
seed = 42
save_dir = "./outputs/samples2/"
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