format

Author: DN6

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

@@ -117,7 +117,7 @@ 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
 ):
@@ -153,6 +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"

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

@@ -158,7 +158,6 @@ def retrieve_timesteps(
     return timesteps, num_inference_steps
 
 
-# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.StableDiffusionImg2ImgPipeline with Stable->Alt, CLIPTextModel->RobertaSeriesModelWithTransformation, CLIPTokenizer->XLMRobertaTokenizer, AltDiffusionSafetyChecker->StableDiffusionSafetyChecker
 class AltDiffusionImg2ImgPipeline(
     DiffusionPipeline, TextualInversionLoaderMixin, IPAdapterMixin, LoraLoaderMixin, FromSingleFileMixin
 ):
@@ -194,6 +193,7 @@ 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"

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

@@ -46,6 +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"]
 

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

@@ -39,6 +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):

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

@@ -37,6 +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

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

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

@@ -36,6 +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

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

@@ -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"

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"]