[Post release] Push post release (#2546)

examples/dreambooth/train_dreambooth.py

@@ -47,7 +47,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = get_logger(__name__)
 

examples/dreambooth/train_dreambooth_flax.py

@@ -36,7 +36,7 @@ from diffusers.utils import check_min_version
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 # Cache compiled models across invocations of this script.
 cc.initialize_cache(os.path.expanduser("~/.cache/jax/compilation_cache"))

examples/dreambooth/train_dreambooth_lora.py

@@ -54,7 +54,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = get_logger(__name__)
 

examples/text_to_image/train_text_to_image.py

@@ -47,7 +47,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/text_to_image/train_text_to_image_flax.py

@@ -34,7 +34,7 @@ from diffusers.utils import check_min_version
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = logging.getLogger(__name__)
 

examples/text_to_image/train_text_to_image_lora.py

@@ -48,7 +48,7 @@ from diffusers.utils.import_utils import is_xformers_available
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = get_logger(__name__, log_level="INFO")
 

examples/textual_inversion/textual_inversion.py

@@ -78,7 +78,7 @@ else:
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = get_logger(__name__)
 

examples/textual_inversion/textual_inversion_flax.py

@@ -57,7 +57,7 @@ else:
 # ------------------------------------------------------------------------------
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = logging.getLogger(__name__)
 

examples/unconditional_image_generation/train_unconditional.py

@@ -27,7 +27,7 @@ from diffusers.utils import check_min_version, is_accelerate_version, is_tensorb
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.14.0")
+check_min_version("0.15.0.dev0")
 
 logger = get_logger(__name__, log_level="INFO")
 

setup.py

@@ -219,7 +219,7 @@ install_requires = [
 
 setup(
     name="diffusers",
-    version="0.14.0",  # 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="0.15.0.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",

src/diffusers/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.14.0"
+__version__ = "0.15.0.dev0"
 
 from .configuration_utils import ConfigMixin
 from .utils import (

src/diffusers/pipelines/repaint/pipeline_repaint.py

@@ -21,7 +21,7 @@ import torch
 
 from ...models import UNet2DModel
 from ...schedulers import RePaintScheduler
-from ...utils import PIL_INTERPOLATION, deprecate, logging, randn_tensor
+from ...utils import PIL_INTERPOLATION, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
 
@@ -90,7 +90,6 @@ class RePaintPipeline(DiffusionPipeline):
         generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
         output_type: Optional[str] = "pil",
         return_dict: bool = True,
-        **kwargs,
     ) -> Union[ImagePipelineOutput, Tuple]:
         r"""
         Args:
@@ -124,9 +123,7 @@ class RePaintPipeline(DiffusionPipeline):
             True, otherwise a `tuple. When returning a tuple, the first element is a list with the generated images.
         """
 
-        message = "Please use `image` instead of `original_image`."
-        original_image = deprecate("original_image", "0.15.0", message, take_from=kwargs)
-        original_image = original_image or image
+        original_image = image
 
         original_image = _preprocess_image(original_image)
         original_image = original_image.to(device=self.device, dtype=self.unet.dtype)