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Replace logger.warn by logger.warning (#1366)

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This commit is contained in:
regisss
2022-11-22 20:44:34 +01:00
committed by GitHub
parent 2d6d4edbbd
commit 44e56de9aa
22 changed files with 25 additions and 25 deletions
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2
examples/community/img2img_inpainting.py
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@@ -110,7 +110,7 @@ class ImageToImageInpaintingPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/interpolate_stable_diffusion.py
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@@ -101,7 +101,7 @@ class StableDiffusionWalkPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/lpw_stable_diffusion.py
View File

@@ -469,7 +469,7 @@ class StableDiffusionLongPromptWeightingPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/multilingual_stable_diffusion.py
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@@ -113,7 +113,7 @@ class MultilingualStableDiffusion(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/sd_text2img_k_diffusion.py
View File

@@ -77,7 +77,7 @@ class StableDiffusionPipeline(DiffusionPipeline):
super().__init__()
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/speech_to_image_diffusion.py
View File

@@ -42,7 +42,7 @@ class SpeechToImagePipeline(DiffusionPipeline):
super().__init__()
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/text_inpainting.py
View File

@@ -99,7 +99,7 @@ class TextInpainting(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
examples/community/wildcard_stable_diffusion.py
View File

@@ -135,7 +135,7 @@ class WildcardStableDiffusionPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/modeling_utils.py
View File

@@ -332,7 +332,7 @@ class ModelMixin(torch.nn.Module):
if low_cpu_mem_usage and not is_accelerate_available():
low_cpu_mem_usage = False
logger.warn(
logger.warning(
"Cannot initialize model with low cpu memory usage because `accelerate` was not found in the"
" environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install"
" `accelerate` for faster and less memory-intense model loading. You can do so with: \n```\npip"

4
src/diffusers/pipeline_flax_utils.py
View File

@@ -411,13 +411,13 @@ class FlaxDiffusionPipeline(ConfigMixin):
f" {expected_class_obj}"
)
elif passed_class_obj[name] is None:
logger.warn(
logger.warning(
f"You have passed `None` for {name} to disable its functionality in {pipeline_class}. Note"
f" that this might lead to problems when using {pipeline_class} and is not recommended."
)
sub_model_should_be_defined = False
else:
logger.warn(
logger.warning(
f"You have passed a non-standard module {passed_class_obj[name]}. We cannot verify whether it"
" has the correct type"
)

6
src/diffusers/pipeline_utils.py
View File

@@ -405,7 +405,7 @@ class DiffusionPipeline(ConfigMixin):
if low_cpu_mem_usage and not is_accelerate_available():
low_cpu_mem_usage = False
logger.warn(
logger.warning(
"Cannot initialize model with low cpu memory usage because `accelerate` was not found in the"
" environment. Defaulting to `low_cpu_mem_usage=False`. It is strongly recommended to install"
" `accelerate` for faster and less memory-intense model loading. You can do so with: \n```\npip"
@@ -571,13 +571,13 @@ class DiffusionPipeline(ConfigMixin):
f" {expected_class_obj}"
)
elif passed_class_obj[name] is None:
logger.warn(
logger.warning(
f"You have passed `None` for {name} to disable its functionality in {pipeline_class}. Note"
f" that this might lead to problems when using {pipeline_class} and is not recommended."
)
sub_model_should_be_defined = False
else:
logger.warn(
logger.warning(
f"You have passed a non-standard module {passed_class_obj[name]}. We cannot verify whether it"
" has the correct type"
)

2
src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion.py
View File

@@ -115,7 +115,7 @@ class AltDiffusionPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Alt Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py
View File

@@ -128,7 +128,7 @@ class AltDiffusionImg2ImgPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Alt Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py
View File

@@ -160,7 +160,7 @@ class CycleDiffusionPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py
View File

@@ -88,7 +88,7 @@ class FlaxStableDiffusionPipeline(FlaxDiffusionPipeline):
self.dtype = dtype
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
View File

@@ -114,7 +114,7 @@ class StableDiffusionPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py
View File

@@ -127,7 +127,7 @@ class StableDiffusionImg2ImgPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
View File

@@ -192,7 +192,7 @@ class StableDiffusionInpaintPipeline(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py
View File

@@ -140,7 +140,7 @@ class StableDiffusionInpaintPipelineLegacy(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/pipelines/stable_diffusion_safe/pipeline_stable_diffusion_safe.py
View File

@@ -108,7 +108,7 @@ class StableDiffusionPipelineSafe(DiffusionPipeline):
scheduler._internal_dict = FrozenDict(new_config)
if safety_checker is None:
logger.warn(
logger.warning(
f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
" that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
" results in services or applications open to the public. Both the diffusers team and Hugging Face"

2
src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py
View File

@@ -189,7 +189,7 @@ class EulerAncestralDiscreteScheduler(SchedulerMixin, ConfigMixin):
)
if not self.is_scale_input_called:
logger.warn(
logger.warning(
"The `scale_model_input` function should be called before `step` to ensure correct denoising. "
"See `StableDiffusionPipeline` for a usage example."
)

2
src/diffusers/schedulers/scheduling_euler_discrete.py
View File

@@ -198,7 +198,7 @@ class EulerDiscreteScheduler(SchedulerMixin, ConfigMixin):
)
if not self.is_scale_input_called:
logger.warn(
logger.warning(
"The `scale_model_input` function should be called before `step` to ensure correct denoising. "
"See `StableDiffusionPipeline` for a usage example."
)