min-dalle-test/cogrun.py
2022-07-04 20:02:33 -04:00

45 lines
1.2 KiB
Python

from min_dalle import MinDalle
import tempfile
from typing import Iterator
from cog import BasePredictor, Path, Input
class Predictor(BasePredictor):
def setup(self):
self.model = MinDalle(is_mega=True)
def predict(
self,
text: str = Input(
description='Text',
default='Dali painting of WALL·E'
),
grid_size: int = Input(
description='Size of the image grid',
ge=1,
le=5,
default=4
),
seed: int = Input(
description='Set the seed to a positive number for reproducible results',
default=-1
),
log2_intermediate_image_count: int = Input(
description='Set the log2 number of intermediate images to show',
ge=0,
le=4,
default=3
),
) -> Iterator[Path]:
image_stream = self.model.generate_image_stream(
text,
seed,
grid_size=grid_size,
log2_mid_count=log2_intermediate_image_count,
is_verbose=True
)
for image in image_stream:
out_path = Path(tempfile.mkdtemp()) / 'output.jpg'
image.save(str(out_path))
yield out_path