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mirror of https://github.com/huggingface/diffusers.git synced 2026-01-27 17:22:53 +03:00

Bump to 0.12.0.dev0 (#1771)

This commit is contained in:
Anton Lozhkov
2022-12-19 18:44:08 +01:00
committed by GitHub
parent f1a32203aa
commit 8331da4683
24 changed files with 29 additions and 29 deletions

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@@ -185,7 +185,7 @@ class ImagicStableDiffusionPipeline(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
accelerator = Accelerator(

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@@ -759,7 +759,7 @@ class StableDiffusionLongPromptWeightingPipeline(StableDiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
# 0. Default height and width to unet

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@@ -746,7 +746,7 @@ class OnnxStableDiffusionLongPromptWeightingPipeline(OnnxStableDiffusionPipeline
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
# 0. Default height and width to unet

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@@ -218,7 +218,7 @@ install_requires = [
setup(
name="diffusers",
version="0.11.0", # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
version="0.12.0.dev0", # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
description="Diffusers",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",

View File

@@ -1,4 +1,4 @@
__version__ = "0.11.0"
__version__ = "0.12.0.dev0"
from .configuration_utils import ConfigMixin
from .onnx_utils import OnnxRuntimeModel

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@@ -523,7 +523,7 @@ class AltDiffusionImg2ImgPipeline(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
# 1. Check inputs

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@@ -87,7 +87,7 @@ class DDIMPipeline(DiffusionPipeline):
)
deprecate(
"generator.device == 'cpu'",
"0.12.0",
"0.13.0",
message,
)
generator = None

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@@ -73,7 +73,7 @@ class DDPMPipeline(DiffusionPipeline):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" DDPMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
new_config = dict(self.scheduler.config)
@@ -88,7 +88,7 @@ class DDPMPipeline(DiffusionPipeline):
)
deprecate(
"generator.device == 'cpu'",
"0.12.0",
"0.13.0",
message,
)
generator = None

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@@ -103,7 +103,7 @@ class LDMSuperResolutionPipeline(DiffusionPipeline):
generated images.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
if isinstance(image, PIL.Image.Image):

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@@ -565,7 +565,7 @@ class CycleDiffusionPipeline(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
# 1. Check inputs

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@@ -311,7 +311,7 @@ class OnnxStableDiffusionImg2ImgPipeline(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
if isinstance(prompt, str):

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@@ -303,7 +303,7 @@ class OnnxStableDiffusionInpaintPipelineLegacy(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
if isinstance(prompt, str):

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@@ -528,7 +528,7 @@ class StableDiffusionImg2ImgPipeline(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
# 1. Check inputs

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@@ -502,7 +502,7 @@ class StableDiffusionInpaintPipelineLegacy(DiffusionPipeline):
(nsfw) content, according to the `safety_checker`.
"""
message = "Please use `image` instead of `init_image`."
init_image = deprecate("init_image", "0.12.0", message, take_from=kwargs)
init_image = deprecate("init_image", "0.13.0", message, take_from=kwargs)
image = init_image or image
# 1. Check inputs

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@@ -134,7 +134,7 @@ class DDIMScheduler(SchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" DDIMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
self.register_to_config(prediction_type="epsilon" if predict_epsilon else "sample")

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@@ -138,7 +138,7 @@ class FlaxDDIMScheduler(FlaxSchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" FlaxDDIMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
self.register_to_config(prediction_type="epsilon" if predict_epsilon else "sample")

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@@ -126,7 +126,7 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" DDPMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
self.register_to_config(prediction_type="epsilon" if predict_epsilon else "sample")
@@ -256,7 +256,7 @@ class DDPMScheduler(SchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" DDPMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
new_config = dict(self.config)
new_config["prediction_type"] = "epsilon" if predict_epsilon else "sample"

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@@ -132,7 +132,7 @@ class FlaxDDPMScheduler(FlaxSchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" FlaxDDPMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
self.register_to_config(prediction_type="epsilon" if predict_epsilon else "sample")
@@ -239,7 +239,7 @@ class FlaxDDPMScheduler(FlaxSchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" FlaxDDPMScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
new_config = dict(self.config)
new_config["prediction_type"] = "epsilon" if predict_epsilon else "sample"

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@@ -143,7 +143,7 @@ class DPMSolverMultistepScheduler(SchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" DPMSolverMultistepScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
self.register_to_config(prediction_type="epsilon" if predict_epsilon else "sample")

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@@ -177,7 +177,7 @@ class FlaxDPMSolverMultistepScheduler(FlaxSchedulerMixin, ConfigMixin):
"Please make sure to instantiate your scheduler with `prediction_type` instead. E.g. `scheduler ="
" FlaxDPMSolverMultistepScheduler.from_pretrained(<model_id>, prediction_type='epsilon')`."
)
predict_epsilon = deprecate("predict_epsilon", "0.12.0", message, take_from=kwargs)
predict_epsilon = deprecate("predict_epsilon", "0.13.0", message, take_from=kwargs)
if predict_epsilon is not None:
self.register_to_config(prediction_type="epsilon" if predict_epsilon else "sample")

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@@ -67,7 +67,7 @@ class DDPMPipelineFastTests(unittest.TestCase):
assert np.abs(image_from_tuple_slice.flatten() - expected_slice).max() < 1e-2
def test_inference_deprecated_predict_epsilon(self):
deprecate("remove this test", "0.12.0", "remove")
deprecate("remove this test", "0.13.0", "remove")
unet = self.dummy_uncond_unet
scheduler = DDPMScheduler(predict_epsilon=False)

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@@ -203,7 +203,7 @@ class ConfigTester(unittest.TestCase):
ddpm_2 = DDPMScheduler.from_pretrained("google/ddpm-celebahq-256", beta_start=88)
with CaptureLogger(logger) as cap_logger:
deprecate("remove this case", "0.12.0", "remove")
deprecate("remove this case", "0.13.0", "remove")
ddpm_3 = DDPMScheduler.from_pretrained(
"hf-internal-testing/tiny-stable-diffusion-torch",
subfolder="scheduler",

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@@ -643,12 +643,12 @@ class DDPMSchedulerTest(SchedulerCommonTest):
self.check_over_configs(prediction_type=prediction_type)
def test_deprecated_predict_epsilon(self):
deprecate("remove this test", "0.12.0", "remove")
deprecate("remove this test", "0.13.0", "remove")
for predict_epsilon in [True, False]:
self.check_over_configs(predict_epsilon=predict_epsilon)
def test_deprecated_epsilon(self):
deprecate("remove this test", "0.12.0", "remove")
deprecate("remove this test", "0.13.0", "remove")
scheduler_class = self.scheduler_classes[0]
scheduler_config = self.get_scheduler_config()

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@@ -626,12 +626,12 @@ class FlaxDDIMSchedulerTest(FlaxSchedulerCommonTest):
self.check_over_configs(prediction_type=prediction_type)
def test_deprecated_predict_epsilon(self):
deprecate("remove this test", "0.12.0", "remove")
deprecate("remove this test", "0.13.0", "remove")
for predict_epsilon in [True, False]:
self.check_over_configs(predict_epsilon=predict_epsilon)
def test_deprecated_predict_epsilon_to_prediction_type(self):
deprecate("remove this test", "0.12.0", "remove")
deprecate("remove this test", "0.13.0", "remove")
for scheduler_class in self.scheduler_classes:
scheduler_config = self.get_scheduler_config(predict_epsilon=True)
scheduler = scheduler_class.from_config(scheduler_config)