Remove warn with deprecate (#4850)

* Remove warn with deprecate

* Fix typo with 1.0,0

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_model_editing.py

@@ -13,7 +13,6 @@
 
 import copy
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import torch
@@ -365,11 +364,9 @@ class StableDiffusionModelEditingPipeline(DiffusionPipeline, TextualInversionLoa
 
     # 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_panorama.py

@@ -13,7 +13,6 @@
 
 import copy
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import torch
@@ -342,11 +341,9 @@ class StableDiffusionPanoramaPipeline(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_pix2pix_zero.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
 
@@ -177,11 +176,8 @@ EXAMPLE_INVERT_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):
@@ -597,11 +593,9 @@ class StableDiffusionPix2PixZeroPipeline(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_sag.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import torch
@@ -365,11 +364,9 @@ class StableDiffusionSAGPipeline(DiffusionPipeline, TextualInversionLoaderMixin)
 
     # 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_upscale.py

@@ -389,11 +389,9 @@ class StableDiffusionUpscalePipeline(DiffusionPipeline, TextualInversionLoaderMi
 
     # 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_unclip.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import torch
@@ -481,11 +480,9 @@ class StableUnCLIPPipeline(DiffusionPipeline, TextualInversionLoaderMixin, LoraL
 
     # 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_unclip_img2img.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import PIL
@@ -430,11 +429,9 @@ class StableUnCLIPImg2ImgPipeline(DiffusionPipeline, TextualInversionLoaderMixin
 
     # 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_safe/pipeline_stable_diffusion_safe.py

@@ -324,11 +324,9 @@ class StableDiffusionPipelineSafe(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/t2i_adapter/pipeline_stable_diffusion_adapter.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
 
@@ -450,11 +449,9 @@ class StableDiffusionAdapterPipeline(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/unidiffuser/pipeline_unidiffuser.py

 import inspect
-import warnings
 from dataclasses import dataclass
 from typing import Callable, List, Optional, Union
 
@@ -35,11 +34,8 @@ 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):

src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_dual_guided.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Tuple, Union
 
 import numpy as np
@@ -30,7 +29,7 @@ from transformers import (
 from ...image_processor import VaeImageProcessor
 from ...models import AutoencoderKL, DualTransformer2DModel, Transformer2DModel, UNet2DConditionModel
 from ...schedulers import KarrasDiffusionSchedulers
-from ...utils import logging, randn_tensor
+from ...utils import deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 from .modeling_text_unet import UNetFlatConditionModel
 
@@ -298,11 +297,9 @@ class VersatileDiffusionDualGuidedPipeline(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/versatile_diffusion/pipeline_versatile_diffusion_image_variation.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import numpy as np
@@ -25,7 +24,7 @@ from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
 from ...image_processor import VaeImageProcessor
 from ...models import AutoencoderKL, UNet2DConditionModel
 from ...schedulers import KarrasDiffusionSchedulers
-from ...utils import logging, randn_tensor
+from ...utils import deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
 
@@ -158,11 +157,9 @@ class VersatileDiffusionImageVariationPipeline(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/versatile_diffusion/pipeline_versatile_diffusion_text_to_image.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import inspect
-import warnings
 from typing import Callable, List, Optional, Union
 
 import torch
@@ -23,7 +22,7 @@ from transformers import CLIPImageProcessor, CLIPTextModelWithProjection, CLIPTo
 from ...image_processor import VaeImageProcessor
 from ...models import AutoencoderKL, Transformer2DModel, UNet2DConditionModel
 from ...schedulers import KarrasDiffusionSchedulers
-from ...utils import logging, randn_tensor
+from ...utils import deprecate, logging, randn_tensor
 from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 from .modeling_text_unet import UNetFlatConditionModel
 
@@ -215,11 +214,9 @@ class VersatileDiffusionTextToImagePipeline(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)