Bump to 0.12.0.dev0 (huggingface#1771)

examples/community/imagic_stable_diffusion.py

@@ -185,7 +185,7 @@ def train(
             (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(

examples/community/lpw_stable_diffusion.py

@@ -759,7 +759,7 @@ def __call__(
             (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

examples/community/lpw_stable_diffusion_onnx.py

@@ -746,7 +746,7 @@ def __call__(
             (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

setup.py

@@ -218,7 +218,7 @@ def run(self):
 
 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",

src/diffusers/__init__.py

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

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -523,7 +523,7 @@ def __call__(
             (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

src/diffusers/pipelines/ddim/pipeline_ddim.py

@@ -87,7 +87,7 @@ def __call__(
             )
             deprecate(
                 "generator.device == 'cpu'",
-                "0.12.0",
+                "0.13.0",
                 message,
             )
             generator = None

src/diffusers/pipelines/ddpm/pipeline_ddpm.py

@@ -73,7 +73,7 @@ def __call__(
             "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 @@ def __call__(
             )
             deprecate(
                 "generator.device == 'cpu'",
-                "0.12.0",
+                "0.13.0",
                 message,
             )
             generator = None

src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py

@@ -103,7 +103,7 @@ def __call__(
             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):

src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py

@@ -565,7 +565,7 @@ def __call__(
             (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

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py

@@ -311,7 +311,7 @@ def __call__(
             (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):

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint_legacy.py

@@ -303,7 +303,7 @@ def __call__(
             (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):

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py

@@ -528,7 +528,7 @@ def __call__(
             (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

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py

@@ -502,7 +502,7 @@ def __call__(
             (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

src/diffusers/schedulers/scheduling_ddim.py

@@ -134,7 +134,7 @@ def __init__(
             "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")
 

src/diffusers/schedulers/scheduling_ddim_flax.py

@@ -138,7 +138,7 @@ def __init__(
             "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")
 

src/diffusers/schedulers/scheduling_ddpm.py

@@ -126,7 +126,7 @@ def __init__(
             "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 @@ def step(
             "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"

src/diffusers/schedulers/scheduling_ddpm_flax.py

@@ -132,7 +132,7 @@ def __init__(
             "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 @@ def step(
             "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"

src/diffusers/schedulers/scheduling_dpmsolver_multistep.py

@@ -143,7 +143,7 @@ def __init__(
             "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")
 

src/diffusers/schedulers/scheduling_dpmsolver_multistep_flax.py

@@ -177,7 +177,7 @@ def __init__(
             "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")
 

tests/pipelines/ddpm/test_ddpm.py

@@ -67,7 +67,7 @@ def test_inference(self):
         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)
 

tests/test_config.py

@@ -203,7 +203,7 @@ def test_overwrite_config_on_load(self):
             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",

tests/test_scheduler.py

@@ -643,12 +643,12 @@ def test_prediction_type(self):
             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()
 

tests/test_scheduler_flax.py

@@ -626,12 +626,12 @@ def test_prediction_type(self):
             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)