more sonar lint
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@ -93,7 +93,6 @@ def convert_diffusion_stable(
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source,
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source,
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torch_dtype=dtype,
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torch_dtype=dtype,
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use_auth_token=ctx.token,
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use_auth_token=ctx.token,
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# cache_dir=path.join(ctx.cache_path, name)
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).to(ctx.training_device)
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).to(ctx.training_device)
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output_path = Path(dest_path)
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output_path = Path(dest_path)
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@ -67,7 +67,7 @@ def noise_source_fill_edge(
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def noise_source_fill_mask(
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def noise_source_fill_mask(
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_source: Image.Image, dims: Point, origin: Point, fill="white", **kw
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_source: Image.Image, dims: Point, _origin: Point, fill="white", **kw
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) -> Image.Image:
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) -> Image.Image:
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"""
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"""
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Fill the whole canvas, no source or noise.
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Fill the whole canvas, no source or noise.
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@ -95,7 +95,7 @@ def noise_source_gaussian(
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def noise_source_uniform(
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def noise_source_uniform(
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_source: Image.Image, dims: Point, origin: Point, **kw
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_source: Image.Image, dims: Point, _origin: Point, **kw
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) -> Image.Image:
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) -> Image.Image:
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width, height = dims
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width, height = dims
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size = width * height
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size = width * height
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@ -115,7 +115,7 @@ def noise_source_uniform(
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def noise_source_normal(
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def noise_source_normal(
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_source: Image.Image, dims: Point, origin: Point, **kw
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_source: Image.Image, dims: Point, _origin: Point, **kw
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) -> Image.Image:
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) -> Image.Image:
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width, height = dims
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width, height = dims
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size = width * height
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size = width * height
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@ -135,7 +135,7 @@ def noise_source_normal(
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def noise_source_histogram(
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def noise_source_histogram(
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source: Image.Image, dims: Point, origin: Point, **kw
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source: Image.Image, dims: Point, _origin: Point, **kw
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) -> Image.Image:
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) -> Image.Image:
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r, g, b = source.split()
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r, g, b = source.split()
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width, height = dims
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width, height = dims
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