boolean intermediate_outputs
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@ -14,18 +14,16 @@ class ReplicatePredictor(BasePredictor):
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description='Text',
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default='Dali painting of WALL·E'
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),
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intermediate_outputs: bool = Input(
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description='Whether to show intermediate outputs while running. This adds less than a second to the run time.',
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default=True
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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=4,
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default=4
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),
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log2_intermediate_image_count: int = Input(
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description='Number of images to show while running, each adds a slight delay',
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ge=0,
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le=4,
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default=2
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),
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log2_supercondition_factor: int = Input(
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description='Higher values result in better agreement with the text but a narrower variety of generated images',
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ge=1,
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@ -34,11 +32,12 @@ class ReplicatePredictor(BasePredictor):
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),
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) -> Iterator[Path]:
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seed = -1
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log2_mid_count = 3 if intermediate_outputs else 0
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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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log2_mid_count=log2_mid_count,
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log2_supercondition_factor=log2_supercondition_factor,
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is_verbose=True
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)
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