add deprecation message

Author: DN6

src/diffusers/pipelines/deprecated/alt_diffusion/pipeline_alt_diffusion.py

@@ -117,7 +117,6 @@ def retrieve_timesteps(
         timesteps = scheduler.timesteps
     return timesteps, num_inference_steps
 
-
 # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline with Stable->Alt, CLIPTextModel->RobertaSeriesModelWithTransformation, CLIPTokenizer->XLMRobertaTokenizer, AltDiffusionSafetyChecker->StableDiffusionSafetyChecker
 class AltDiffusionPipeline(
     DiffusionPipeline, TextualInversionLoaderMixin, LoraLoaderMixin, IPAdapterMixin, FromSingleFileMixin
@@ -154,6 +153,7 @@ class AltDiffusionPipeline(
         feature_extractor ([`~transformers.CLIPImageProcessor`]):
             A `CLIPImageProcessor` to extract features from generated images; used as inputs to the `safety_checker`.
     """
+    deprecate("AltDiffusionPipeline", "1.0.0", "")
 
     model_cpu_offload_seq = "text_encoder->unet->vae"
     _optional_components = ["safety_checker", "feature_extractor", "image_encoder"]

src/diffusers/pipelines/deprecated/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -194,6 +194,7 @@ class AltDiffusionImg2ImgPipeline(
         feature_extractor ([`~transformers.CLIPImageProcessor`]):
             A `CLIPImageProcessor` to extract features from generated images; used as inputs to the `safety_checker`.
     """
+    deprecate("AltDiffusionImg2ImgPipeline", "1.0.0", "")
 
     model_cpu_offload_seq = "text_encoder->unet->vae"
     _optional_components = ["safety_checker", "feature_extractor", "image_encoder"]

src/diffusers/pipelines/deprecated/audio_diffusion/pipeline_audio_diffusion.py

@@ -22,6 +22,7 @@
 
 from ....models import AutoencoderKL, UNet2DConditionModel
 from ....schedulers import DDIMScheduler, DDPMScheduler
+from ....utils import deprecate
 from ....utils.torch_utils import randn_tensor
 from ...pipeline_utils import AudioPipelineOutput, BaseOutput, DiffusionPipeline, ImagePipelineOutput
 from .mel import Mel
@@ -45,7 +46,7 @@ class AudioDiffusionPipeline(DiffusionPipeline):
             A scheduler to be used in combination with `unet` to denoise the encoded image latents. Can be one of
             [`DDIMScheduler`] or [`DDPMScheduler`].
     """
-
+    deprecate("AudioDiffusionPipeline", "1.0.0", "")
     _optional_components = ["vqvae"]
 
     def __init__(

src/diffusers/pipelines/deprecated/latent_diffusion_uncond/pipeline_latent_diffusion_uncond.py

@@ -19,6 +19,7 @@
 
 from ....models import UNet2DModel, VQModel
 from ....schedulers import DDIMScheduler
+from ....utils import deprecate
 from ....utils.torch_utils import randn_tensor
 from ...pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
@@ -38,6 +39,7 @@ class LDMPipeline(DiffusionPipeline):
         scheduler ([`SchedulerMixin`]):
             [`DDIMScheduler`] is used in combination with `unet` to denoise the encoded image latents.
     """
+    deprecate("LDMPipeline", "1.0.0", "")
 
     def __init__(self, vqvae: VQModel, unet: UNet2DModel, scheduler: DDIMScheduler):
         super().__init__()

src/diffusers/pipelines/deprecated/pndm/pipeline_pndm.py

@@ -19,6 +19,7 @@
 
 from ....models import UNet2DModel
 from ....schedulers import PNDMScheduler
+from ....utils import deprecate
 from ....utils.torch_utils import randn_tensor
 from ...pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
@@ -36,6 +37,7 @@ class PNDMPipeline(DiffusionPipeline):
         scheduler ([`PNDMScheduler`]):
             A `PNDMScheduler` to be used in combination with `unet` to denoise the encoded image.
     """
+    deprecate("PNDMPipeline", "1.0.0", "")
 
     unet: UNet2DModel
     scheduler: PNDMScheduler

src/diffusers/pipelines/deprecated/repaint/pipeline_repaint.py

@@ -86,6 +86,7 @@ class RePaintPipeline(DiffusionPipeline):
         scheduler ([`RePaintScheduler`]):
             A `RePaintScheduler` to be used in combination with `unet` to denoise the encoded image.
     """
+    deprecate("RePaintPipeline", "1.0.0", "")
 
     unet: UNet2DModel
     scheduler: RePaintScheduler

src/diffusers/pipelines/deprecated/score_sde_ve/pipeline_score_sde_ve.py

@@ -18,6 +18,7 @@
 
 from ....models import UNet2DModel
 from ....schedulers import ScoreSdeVeScheduler
+from ....utils import deprecate
 from ....utils.torch_utils import randn_tensor
 from ...pipeline_utils import DiffusionPipeline, ImagePipelineOutput
 
@@ -35,6 +36,7 @@ class ScoreSdeVePipeline(DiffusionPipeline):
         scheduler ([`ScoreSdeVeScheduler`]):
             A `ScoreSdeVeScheduler` to be used in combination with `unet` to denoise the encoded image.
     """
+    deprecate("ScoreSdeVePipeline", "1.0.0", "")
 
     unet: UNet2DModel
     scheduler: ScoreSdeVeScheduler

src/diffusers/pipelines/deprecated/spectrogram_diffusion/pipeline_spectrogram_diffusion.py

@@ -21,7 +21,7 @@
 
 from ....models import T5FilmDecoder
 from ....schedulers import DDPMScheduler
-from ....utils import is_onnx_available, logging
+from ....utils import deprecate, is_onnx_available, logging
 from ....utils.torch_utils import randn_tensor
 
 
@@ -54,6 +54,7 @@ class SpectrogramDiffusionPipeline(DiffusionPipeline):
             A scheduler to be used in combination with `decoder` to denoise the encoded audio latents.
         melgan ([`OnnxRuntimeModel`]):
     """
+    deprecate("SpectrogramDiffusionPipeline", "1.0.0", "")
 
     _optional_components = ["melgan"]
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py

@@ -162,6 +162,7 @@ class CycleDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lor
         feature_extractor ([`~transformers.CLIPImageProcessor`]):
             A `CLIPImageProcessor` to extract features from generated images; used as inputs to the `safety_checker`.
     """
+    deprecate("CycleDiffusionPipeline", "1.0.0", "")
 
     model_cpu_offload_seq = "text_encoder->unet->vae"
     _optional_components = ["safety_checker", "feature_extractor"]

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_onnx_stable_diffusion_inpaint_legacy.py

@@ -66,6 +66,7 @@ class OnnxStableDiffusionInpaintPipelineLegacy(DiffusionPipeline):
         feature_extractor ([`CLIPImageProcessor`]):
             Model that extracts features from generated images to be used as inputs for the `safety_checker`.
     """
+    deprecate("OnnxStableDiffusionInpaintPipelineLegacy", "1.0.0", "")
 
     _optional_components = ["safety_checker", "feature_extractor"]
     _is_onnx = True