Remove warn with deprecate (#4850)

* Remove warn with deprecate

* Fix typo with 1.0,0

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import torch
@@ -452,13 +451,12 @@ class AltDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, LoraL
         return image, has_nsfw_concept
 
     def decode_latents(self, latents):
-        warnings.warn(
-            (
-                "The decode_latents method is deprecated and will be removed in a future version. Please"
-                " use VaeImageProcessor instead"
-            ),
-            FutureWarning,
+        deprecation_message = (
+            "The decode_latents method is deprecated and will be removed in 1.0.0. Please use"
+            " VaeImageProcessor.postprocess(...) instead"
         )
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
@@ -69,11 +68,8 @@ EXAMPLE_DOC_STRING = """
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess
 def preprocess(image):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):
@@ -453,13 +449,12 @@ class AltDiffusionImg2ImgPipeline(
         return image, has_nsfw_concept
 
     def decode_latents(self, latents):
-        warnings.warn(
-            (
-                "The decode_latents method is deprecated and will be removed in a future version. Please"
-                " use VaeImageProcessor instead"
-            ),
-            FutureWarning,
+        deprecation_message = (
+            "The decode_latents method is deprecated and will be removed in 1.0.0. Please use"
+            " VaeImageProcessor.postprocess(...) instead"
         )
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/controlnet/pipeline_controlnet.py

@@ -14,7 +14,6 @@
 
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import numpy as np
@@ -445,11 +444,9 @@ class StableDiffusionControlNetPipeline(
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py

@@ -14,7 +14,6 @@
 
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import numpy as np
@@ -470,11 +469,9 @@ class StableDiffusionControlNetImg2ImgPipeline(
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py

@@ -15,7 +15,6 @@
 # This model implementation is heavily inspired by https://github.com/haofanwang/ControlNet-for-Diffusers/
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import numpy as np
@@ -596,11 +595,9 @@ class StableDiffusionControlNetInpaintPipeline(
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/paint_by_example/pipeline_paint_by_example.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import numpy as np
@@ -24,7 +23,7 @@ from transformers import CLIPImageProcessor
 from ...image_processor import VaeImageProcessor
 from ...models import AutoencoderKL, UNet2DConditionModel
 from ...schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
-from ...utils import logging, randn_tensor
+from ...utils import deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline
 from ..stable_diffusion import StableDiffusionPipelineOutput
 from ..stable_diffusion.safety_checker import StableDiffusionSafetyChecker
@@ -230,11 +229,9 @@ class PaintByExamplePipeline(DiffusionPipeline):
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/repaint/pipeline_repaint.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 
-import warnings
 from typing import List, Optional, Tuple, Union
 
 import numpy as np
@@ -22,7 +21,7 @@ import torch
 
 from ...models import UNet2DModel
 from ...schedulers import RePaintScheduler
-from ...utils import PIL_INTERPOLATION, logging, randn_tensor
+from ...utils import PIL_INTERPOLATION, deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
 
@@ -31,11 +30,8 @@ logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess
 def _preprocess_image(image: Union[List, PIL.Image.Image, torch.Tensor]):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):

src/diffusers/pipelines/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py

 import inspect
-import warnings
 from itertools import repeat
 from typing import Callable, List, Optional, Union
 
@@ -10,7 +9,7 @@ from ...image_processor import VaeImageProcessor
 from ...models import AutoencoderKL, UNet2DConditionModel
 from ...pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from ...schedulers import KarrasDiffusionSchedulers
-from ...utils import logging, randn_tensor
+from ...utils import deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline
 from . import SemanticStableDiffusionPipelineOutput
 
@@ -107,11 +106,9 @@ class SemanticStableDiffusionPipeline(DiffusionPipeline):
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
@@ -40,11 +39,8 @@ logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess
 def preprocess(image):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):
@@ -523,11 +519,9 @@ class CycleDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lor
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import numpy as np
@@ -34,13 +33,11 @@ logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess with 8->64
 def preprocess(image):
-    warnings.warn(
-        (
-            "The preprocess method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor.preprocess instead"
-        ),
-        FutureWarning,
+    deprecation_message = (
+        "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use"
+        " VaeImageProcessor.preprocess(...) instead"
     )
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import torch
@@ -451,11 +450,9 @@ class StableDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lo
         return image, has_nsfw_concept
 
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py

@@ -14,7 +14,6 @@
 
 import inspect
 import math
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import numpy as np
@@ -453,11 +452,9 @@ class StableDiffusionAttendAndExcitePipeline(DiffusionPipeline, TextualInversion
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py

@@ -14,7 +14,6 @@
 
 import contextlib
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
@@ -37,11 +36,8 @@ logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess
 def preprocess(image):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):
@@ -338,11 +334,9 @@ class StableDiffusionDepth2ImgPipeline(DiffusionPipeline, TextualInversionLoader
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_diffedit.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from dataclasses import dataclass
 from typing import Any, Callable, Dict, List, Optional, Union
 
@@ -159,11 +158,8 @@ def kl_divergence(hidden_states):
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess
 def preprocess(image):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):
@@ -657,11 +653,9 @@ class StableDiffusionDiffEditPipeline(DiffusionPipeline, TextualInversionLoaderM
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_image_variation.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import PIL
@@ -169,11 +168,9 @@ class StableDiffusionImageVariationPipeline(DiffusionPipeline):
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
@@ -73,11 +72,8 @@ EXAMPLE_DOC_STRING = """
 
 
 def preprocess(image):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):
@@ -458,11 +454,9 @@ class StableDiffusionImg2ImgPipeline(
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
@@ -454,11 +453,9 @@ class StableDiffusionInpaintPipelineLegacy(
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import numpy as np
@@ -43,11 +42,8 @@ logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
 
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.preprocess
 def preprocess(image):
-    warnings.warn(
-        "The preprocess method is deprecated and will be removed in a future version. Please"
-        " use VaeImageProcessor.preprocess instead",
-        FutureWarning,
-    )
+    deprecation_message = "The preprocess method is deprecated and will be removed in diffusers 1.0.0. Please use VaeImageProcessor.preprocess(...) instead"
+    deprecate("preprocess", "1.0.0", deprecation_message, standard_warn=False)
     if isinstance(image, torch.Tensor):
         return image
     elif isinstance(image, PIL.Image.Image):
@@ -622,11 +618,9 @@ class StableDiffusionInstructPix2PixPipeline(DiffusionPipeline, TextualInversion
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_k_diffusion.py

@@ -14,7 +14,6 @@
 
 import importlib
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import torch
@@ -361,11 +360,9 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline, TextualInversionLoade
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_latent_upscale.py

@@ -24,7 +24,7 @@ from transformers import CLIPTextModel, CLIPTokenizer
 from ...image_processor import PipelineImageInput, VaeImageProcessor
 from ...models import AutoencoderKL, UNet2DConditionModel
 from ...schedulers import EulerDiscreteScheduler
-from ...utils import logging, randn_tensor
+from ...utils import deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
 
@@ -190,11 +190,9 @@ class StableDiffusionLatentUpscalePipeline(DiffusionPipeline):
 
     # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
     def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
+        deprecation_message = "The decode_latents method is deprecated and will be removed in 1.0.0. Please use VaeImageProcessor.postprocess(...) instead"
+        deprecate("decode_latents", "1.0.0", deprecation_message, standard_warn=False)
+
         latents = 1 / self.vae.config.scaling_factor * latents
         image = self.vae.decode(latents, return_dict=False)[0]
         image = (image / 2 + 0.5).clamp(0, 1)