remove seed from replicate
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README.md
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2
README.md
vendored
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@ -53,7 +53,7 @@ display(image)
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### Interactive
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If the model is being used interactively (e.g. in a notebook) `generate_image_stream` can be used to generate a stream of images as the model is decoding. The detokenizer adds a slight delay for each image. Setting `log2_mid_count` to 3 results in a total of `2 ** 3 = 8` generated images. The only valid values for `log2_mid_count` are 0, 1, 2, 3, 4. This is implemented in the colab.
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If the model is being used interactively (e.g. in a notebook) `generate_image_stream` can be used to generate a stream of images as the model is decoding. The detokenizer adds a slight delay for each image. Setting `log2_mid_count` to 3 results in a total of `2 ** 3 = 8` generated images. The only valid values for `log2_mid_count` are 0, 1, 2, 3, and 4. This is implemented in the colab.
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```python
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image_stream = model.generate_image_stream(
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@ -14,10 +14,6 @@ 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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seed: int = Input(
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description='A positive number will generate reproducible results',
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default=-1
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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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@ -37,6 +33,7 @@ class ReplicatePredictor(BasePredictor):
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default=4
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),
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) -> Iterator[Path]:
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seed = -1
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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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