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