update

2026-01-29 07:22:12 +03:00 · 2025-04-18 11:24:47 +02:00
parent ca1c5ccddc
commit 4d40ea3897
39 changed files with 63 additions and 63 deletions
--- a/examples/community/pipeline_animatediff_controlnet.py
+++ b/examples/community/pipeline_animatediff_controlnet.py
@@ -436,7 +436,7 @@ class AnimateDiffControlNetPipeline(
            image_embeds = ip_adapter_image_embeds
        return image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis/pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

@@ -663,7 +663,7 @@ class AnimateDiffControlNetPipeline(
                f"If image batch size is not 1, image batch size must be same as prompt batch size. image batch size: {image_batch_size}, prompt batch size: {prompt_batch_size}"
            )

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/examples/community/pipeline_animatediff_img2video.py
+++ b/examples/community/pipeline_animatediff_img2video.py
@@ -553,7 +553,7 @@ class AnimateDiffImgToVideoPipeline(
            image_embeds = ip_adapter_image_embeds
        return image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis/pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

--- a/examples/community/pipeline_animatediff_ipex.py
+++ b/examples/community/pipeline_animatediff_ipex.py
@@ -425,7 +425,7 @@ class AnimateDiffPipelineIpex(

        return image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis/pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

@@ -520,7 +520,7 @@ class AnimateDiffPipelineIpex(
                    f"`ip_adapter_image_embeds` has to be a list of 3D or 4D tensors but is {ip_adapter_image_embeds[0].ndim}D"
                )

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/examples/community/pipeline_stg_cogvideox.py
+++ b/examples/community/pipeline_stg_cogvideox.py
@@ -427,7 +427,7 @@ class CogVideoXSTGPipeline(DiffusionPipeline, CogVideoXLoraLoaderMixin):
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.latte.pipeline_latte.LattePipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.latte.pipeline_latte.LattePipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/examples/community/unclip_image_interpolation.py
+++ b/examples/community/unclip_image_interpolation.py
@@ -18,7 +18,7 @@ from diffusers import (
    UNet2DConditionModel,
    UNet2DModel,
 )
-from diffusers.pipelines.unclip import UnCLIPTextProjModel
+from diffusers.pipelines.deprecated.unclip import UnCLIPTextProjModel
 from diffusers.utils import logging
 from diffusers.utils.torch_utils import randn_tensor

@@ -84,7 +84,7 @@ class UnCLIPImageInterpolationPipeline(DiffusionPipeline):
    decoder_scheduler: UnCLIPScheduler
    super_res_scheduler: UnCLIPScheduler

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip_image_variation.UnCLIPImageVariationPipeline.__init__
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip_image_variation.UnCLIPImageVariationPipeline.__init__
    def __init__(
        self,
        decoder: UNet2DConditionModel,
@@ -113,7 +113,7 @@ class UnCLIPImageInterpolationPipeline(DiffusionPipeline):
            super_res_scheduler=super_res_scheduler,
        )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
@@ -125,7 +125,7 @@ class UnCLIPImageInterpolationPipeline(DiffusionPipeline):
        latents = latents * scheduler.init_noise_sigma
        return latents

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip_image_variation.UnCLIPImageVariationPipeline._encode_prompt
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip_image_variation.UnCLIPImageVariationPipeline._encode_prompt
    def _encode_prompt(self, prompt, device, num_images_per_prompt, do_classifier_free_guidance):
        batch_size = len(prompt) if isinstance(prompt, list) else 1

@@ -189,7 +189,7 @@ class UnCLIPImageInterpolationPipeline(DiffusionPipeline):

        return prompt_embeds, text_encoder_hidden_states, text_mask

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip_image_variation.UnCLIPImageVariationPipeline._encode_image
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip_image_variation.UnCLIPImageVariationPipeline._encode_image
    def _encode_image(self, image, device, num_images_per_prompt, image_embeddings: Optional[torch.Tensor] = None):
        dtype = next(self.image_encoder.parameters()).dtype

--- a/examples/community/unclip_text_interpolation.py
+++ b/examples/community/unclip_text_interpolation.py
@@ -14,7 +14,7 @@ from diffusers import (
    UNet2DConditionModel,
    UNet2DModel,
 )
-from diffusers.pipelines.unclip import UnCLIPTextProjModel
+from diffusers.pipelines.deprecated.unclip import UnCLIPTextProjModel
 from diffusers.utils import logging
 from diffusers.utils.torch_utils import randn_tensor

@@ -78,7 +78,7 @@ class UnCLIPTextInterpolationPipeline(DiffusionPipeline):
    decoder_scheduler: UnCLIPScheduler
    super_res_scheduler: UnCLIPScheduler

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.__init__
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.__init__
    def __init__(
        self,
        prior: PriorTransformer,
@@ -107,7 +107,7 @@ class UnCLIPTextInterpolationPipeline(DiffusionPipeline):
            super_res_scheduler=super_res_scheduler,
        )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
@@ -119,7 +119,7 @@ class UnCLIPTextInterpolationPipeline(DiffusionPipeline):
        latents = latents * scheduler.init_noise_sigma
        return latents

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline._encode_prompt
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline._encode_prompt
    def _encode_prompt(
        self,
        prompt,
--- a/scripts/convert_kakao_brain_unclip_to_diffusers.py
+++ b/scripts/convert_kakao_brain_unclip_to_diffusers.py
@@ -7,7 +7,7 @@ from transformers import CLIPTextModelWithProjection, CLIPTokenizer

 from diffusers import UnCLIPPipeline, UNet2DConditionModel, UNet2DModel
 from diffusers.models.transformers.prior_transformer import PriorTransformer
-from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel
+from diffusers.pipelines.deprecated.unclip.text_proj import UnCLIPTextProjModel
 from diffusers.schedulers.scheduling_unclip import UnCLIPScheduler


--- a/src/diffusers/models/unets/unet_stable_cascade.py
+++ b/src/diffusers/models/unets/unet_stable_cascade.py
@@ -27,7 +27,7 @@ from ..attention_processor import Attention
 from ..modeling_utils import ModelMixin


-# Copied from diffusers.pipelines.wuerstchen.modeling_wuerstchen_common.WuerstchenLayerNorm with WuerstchenLayerNorm -> SDCascadeLayerNorm
+# Copied from diffusers.pipelines.deprecated.wuerstchen.modeling_wuerstchen_common.WuerstchenLayerNorm with WuerstchenLayerNorm -> SDCascadeLayerNorm
 class SDCascadeLayerNorm(nn.LayerNorm):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
--- a/src/diffusers/pipelines/animatediff/pipeline_animatediff_sdxl.py
+++ b/src/diffusers/pipelines/animatediff/pipeline_animatediff_sdxl.py
@@ -635,7 +635,7 @@ class AnimateDiffSDXLPipeline(

        return ip_adapter_image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis/pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

@@ -738,7 +738,7 @@ class AnimateDiffSDXLPipeline(
                "If `negative_prompt_embeds` are provided, `negative_pooled_prompt_embeds` also have to be passed. Make sure to generate `negative_pooled_prompt_embeds` from the same text encoder that was used to generate `negative_prompt_embeds`."
            )

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/src/diffusers/pipelines/animatediff/pipeline_animatediff_sparsectrl.py
+++ b/src/diffusers/pipelines/animatediff/pipeline_animatediff_sparsectrl.py
@@ -458,7 +458,7 @@ class AnimateDiffSparseControlNetPipeline(

        return ip_adapter_image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis/pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

@@ -621,7 +621,7 @@ class AnimateDiffSparseControlNetPipeline(
                f"If image batch size is not 1, image batch size must be same as prompt batch size. image batch size: {image_batch_size}, prompt batch size: {prompt_batch_size}"
            )

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py
+++ b/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py
@@ -373,7 +373,7 @@ class CogVideoXPipeline(DiffusionPipeline, CogVideoXLoraLoaderMixin):
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.latte.pipeline_latte.LattePipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.latte.pipeline_latte.LattePipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/cogview3/pipeline_cogview3plus.py
+++ b/src/diffusers/pipelines/cogview3/pipeline_cogview3plus.py
@@ -333,7 +333,7 @@ class CogView3PlusPipeline(DiffusionPipeline):
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.latte.pipeline_latte.LattePipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.latte.pipeline_latte.LattePipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/deprecated/i2vgen_xl/pipeline_i2vgen_xl.py
+++ b/src/diffusers/pipelines/deprecated/i2vgen_xl/pipeline_i2vgen_xl.py
@@ -479,7 +479,7 @@ class I2VGenXLPipeline(

        return image_latents

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/src/diffusers/pipelines/deprecated/latte/pipeline_latte.py
+++ b/src/diffusers/pipelines/deprecated/latte/pipeline_latte.py
@@ -561,7 +561,7 @@ class LattePipeline(DiffusionPipeline):

        return caption.strip()

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/src/diffusers/pipelines/deprecated/pia/pipeline_pia.py
+++ b/src/diffusers/pipelines/deprecated/pia/pipeline_pia.py
@@ -422,7 +422,7 @@ class PIAPipeline(

            return image_embeds, uncond_image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis/pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

@@ -562,7 +562,7 @@ class PIAPipeline(

        return ip_adapter_image_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.prepare_latents
    def prepare_latents(
        self, batch_size, num_channels_latents, num_frames, height, width, dtype, device, generator, latents=None
    ):
--- a/src/diffusers/pipelines/deprecated/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py
+++ b/src/diffusers/pipelines/deprecated/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py
@@ -143,7 +143,7 @@ class SemanticStableDiffusionPipeline(DiffusionPipeline, StableDiffusionMixin):
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/deprecated/shap_e/pipeline_shap_e.py
+++ b/src/diffusers/pipelines/deprecated/shap_e/pipeline_shap_e.py
@@ -127,7 +127,7 @@ class ShapEPipeline(DiffusionPipeline):
            shap_e_renderer=shap_e_renderer,
        )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/deprecated/shap_e/pipeline_shap_e_img2img.py
+++ b/src/diffusers/pipelines/deprecated/shap_e/pipeline_shap_e_img2img.py
@@ -128,7 +128,7 @@ class ShapEImg2ImgPipeline(DiffusionPipeline):
            shap_e_renderer=shap_e_renderer,
        )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/deprecated/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py
+++ b/src/diffusers/pipelines/deprecated/stable_diffusion_k_diffusion/pipeline_stable_diffusion_xl_k_diffusion.py
@@ -72,7 +72,7 @@ EXAMPLE_DOC_STRING = """
 """


-# Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.ModelWrapper
+# Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.ModelWrapper
 class ModelWrapper:
    def __init__(self, model, alphas_cumprod):
        self.model = model
@@ -187,7 +187,7 @@ class StableDiffusionXLKDiffusionPipeline(
        else:
            self.k_diffusion_model = CompVisDenoiser(model)

-    # Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.set_scheduler
+    # Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion..pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.set_scheduler
    def set_scheduler(self, scheduler_type: str):
        library = importlib.import_module("k_diffusion")
        sampling = getattr(library, "sampling")
--- a/src/diffusers/pipelines/deprecated/stable_diffusion_safe/pipeline_stable_diffusion_safe.py
+++ b/src/diffusers/pipelines/deprecated/stable_diffusion_safe/pipeline_stable_diffusion_safe.py
@@ -372,7 +372,7 @@ class StableDiffusionPipelineSafe(DiffusionPipeline, StableDiffusionMixin, IPAda
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/deprecated/stable_diffusion_sag/pipeline_stable_diffusion_sag.py
+++ b/src/diffusers/pipelines/deprecated/stable_diffusion_sag/pipeline_stable_diffusion_sag.py
@@ -490,7 +490,7 @@ class StableDiffusionSAGPipeline(DiffusionPipeline, StableDiffusionMixin, Textua
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_synth.py
+++ b/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_synth.py
@@ -363,7 +363,7 @@ class TextToVideoSDPipeline(
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py
+++ b/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py
@@ -368,7 +368,7 @@ class VideoToVideoSDPipeline(

        return prompt_embeds, negative_prompt_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_synth.TextToVideoSDPipeline.decode_latents
    def decode_latents(self, latents):
        latents = 1 / self.vae.config.scaling_factor * latents

--- a/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_zero.py
+++ b/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_zero.py
@@ -464,7 +464,7 @@ class TextToVideoZeroPipeline(

        return latents.clone().detach()

-    # Copied from diffusers.pipelines.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.stable_diffusion_k_diffusion.pipeline_stable_diffusion_k_diffusion.StableDiffusionKDiffusionPipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py
+++ b/src/diffusers/pipelines/deprecated/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py
@@ -55,32 +55,32 @@ else:
 logger = logging.get_logger(__name__)  # pylint: disable=invalid-name


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_0
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_0
 def rearrange_0(tensor, f):
    F, C, H, W = tensor.size()
    tensor = torch.permute(torch.reshape(tensor, (F // f, f, C, H, W)), (0, 2, 1, 3, 4))
    return tensor


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_1
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_1
 def rearrange_1(tensor):
    B, C, F, H, W = tensor.size()
    return torch.reshape(torch.permute(tensor, (0, 2, 1, 3, 4)), (B * F, C, H, W))


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_3
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_3
 def rearrange_3(tensor, f):
    F, D, C = tensor.size()
    return torch.reshape(tensor, (F // f, f, D, C))


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_4
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.rearrange_4
 def rearrange_4(tensor):
    B, F, D, C = tensor.size()
    return torch.reshape(tensor, (B * F, D, C))


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor
 class CrossFrameAttnProcessor:
    """
    Cross frame attention processor. Each frame attends the first frame.
@@ -140,7 +140,7 @@ class CrossFrameAttnProcessor:
        return hidden_states


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor2_0
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor2_0
 class CrossFrameAttnProcessor2_0:
    """
    Cross frame attention processor with scaled_dot_product attention of Pytorch 2.0.
@@ -230,7 +230,7 @@ class TextToVideoSDXLPipelineOutput(BaseOutput):
    images: Union[List[PIL.Image.Image], np.ndarray]


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.coords_grid
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.coords_grid
 def coords_grid(batch, ht, wd, device):
    # Adapted from https://github.com/princeton-vl/RAFT/blob/master/core/utils/utils.py
    coords = torch.meshgrid(torch.arange(ht, device=device), torch.arange(wd, device=device))
@@ -238,7 +238,7 @@ def coords_grid(batch, ht, wd, device):
    return coords[None].repeat(batch, 1, 1, 1)


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.warp_single_latent
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.warp_single_latent
 def warp_single_latent(latent, reference_flow):
    """
    Warp latent of a single frame with given flow
@@ -266,7 +266,7 @@ def warp_single_latent(latent, reference_flow):
    return warped


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.create_motion_field
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.create_motion_field
 def create_motion_field(motion_field_strength_x, motion_field_strength_y, frame_ids, device, dtype):
    """
    Create translation motion field
@@ -290,7 +290,7 @@ def create_motion_field(motion_field_strength_x, motion_field_strength_y, frame_
    return reference_flow


-# Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.create_motion_field_and_warp_latents
+# Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.create_motion_field_and_warp_latents
 def create_motion_field_and_warp_latents(motion_field_strength_x, motion_field_strength_y, frame_ids, latents):
    """
    Creates translation motion and warps the latents accordingly
@@ -832,7 +832,7 @@ class TextToVideoZeroSDXLPipeline(

        return prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds

-    # Copied from diffusers.pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.TextToVideoZeroPipeline.forward_loop
+    # Copied from diffusers.pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.TextToVideoZeroPipeline.forward_loop
    def forward_loop(self, x_t0, t0, t1, generator):
        """
        Perform DDPM forward process from time t0 to t1. This is the same as adding noise with corresponding variance.
--- a/src/diffusers/pipelines/deprecated/unclip/pipeline_unclip_image_variation.py
+++ b/src/diffusers/pipelines/deprecated/unclip/pipeline_unclip_image_variation.py
@@ -114,7 +114,7 @@ class UnCLIPImageVariationPipeline(DiffusionPipeline):
            super_res_scheduler=super_res_scheduler,
        )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/deprecated/wuerstchen/pipeline_wuerstchen.py
+++ b/src/diffusers/pipelines/deprecated/wuerstchen/pipeline_wuerstchen.py
@@ -107,7 +107,7 @@ class WuerstchenDecoderPipeline(DiffusionPipeline):
        )
        self.register_to_config(latent_dim_scale=latent_dim_scale)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/deprecated/wuerstchen/pipeline_wuerstchen_prior.py
+++ b/src/diffusers/pipelines/deprecated/wuerstchen/pipeline_wuerstchen_prior.py
@@ -126,7 +126,7 @@ class WuerstchenPriorPipeline(DiffusionPipeline, StableDiffusionLoraLoaderMixin)
            latent_mean=latent_mean, latent_std=latent_std, resolution_multiple=resolution_multiple
        )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky.py
@@ -123,7 +123,7 @@ class KandinskyPipeline(DiffusionPipeline):
        )
        self.movq_scale_factor = 2 ** (len(self.movq.config.block_out_channels) - 1)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_inpaint.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_inpaint.py
@@ -288,7 +288,7 @@ class KandinskyInpaintPipeline(DiffusionPipeline):
        self.movq_scale_factor = 2 ** (len(self.movq.config.block_out_channels) - 1)
        self._warn_has_been_called = False

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
+++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py
@@ -285,7 +285,7 @@ class KandinskyPriorPipeline(DiffusionPipeline):

        return KandinskyPriorPipelineOutput(image_embeds=image_emb, negative_image_embeds=zero_image_emb)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2.py
@@ -103,7 +103,7 @@ class KandinskyV22Pipeline(DiffusionPipeline):
        )
        self.movq_scale_factor = 2 ** (len(self.movq.config.block_out_channels) - 1)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet.py
@@ -145,7 +145,7 @@ class KandinskyV22ControlnetPipeline(DiffusionPipeline):
        )
        self.movq_scale_factor = 2 ** (len(self.movq.config.block_out_channels) - 1)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_inpainting.py
@@ -275,7 +275,7 @@ class KandinskyV22InpaintPipeline(DiffusionPipeline):
        self.movq_scale_factor = 2 ** (len(self.movq.config.block_out_channels) - 1)
        self._warn_has_been_called = False

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py
+++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior.py
@@ -244,7 +244,7 @@ class KandinskyV22PriorPipeline(DiffusionPipeline):

        return KandinskyPriorPipelineOutput(image_embeds=image_emb, negative_image_embeds=zero_image_emb)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/src/diffusers/pipelines/pag/pipeline_pag_sd_animatediff.py
+++ b/src/diffusers/pipelines/pag/pipeline_pag_sd_animatediff.py
@@ -452,7 +452,7 @@ class AnimateDiffPAGPipeline(
            extra_step_kwargs["generator"] = generator
        return extra_step_kwargs

-    # Copied from diffusers.pipelines.pia.pipeline_pia.PIAPipeline.check_inputs
+    # Copied from diffusers.pipelines.deprecated.pia.pipeline_pia.PIAPipeline.check_inputs
    def check_inputs(
        self,
        prompt,
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py
@@ -166,7 +166,7 @@ class StableUnCLIPPipeline(
        self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1) if getattr(self, "vae", None) else 8
        self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor)

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline._encode_prompt with _encode_prompt->_encode_prior_prompt, tokenizer->prior_tokenizer, text_encoder->prior_text_encoder
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline._encode_prompt with _encode_prompt->_encode_prior_prompt, tokenizer->prior_tokenizer, text_encoder->prior_text_encoder
    def _encode_prior_prompt(
        self,
        prompt,
@@ -584,7 +584,7 @@ class StableUnCLIPPipeline(
                f"`noise_level` must be between 0 and {self.image_noising_scheduler.config.num_train_timesteps - 1}, inclusive."
            )

-    # Copied from diffusers.pipelines.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
+    # Copied from diffusers.pipelines.deprecated.unclip.pipeline_unclip.UnCLIPPipeline.prepare_latents
    def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
        if latents is None:
            latents = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
--- a/tests/pipelines/unclip/test_unclip.py
+++ b/tests/pipelines/unclip/test_unclip.py
@@ -21,7 +21,7 @@ import torch
 from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer

 from diffusers import PriorTransformer, UnCLIPPipeline, UnCLIPScheduler, UNet2DConditionModel, UNet2DModel
-from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel
+from diffusers.pipelines.deprecated.unclip.text_proj import UnCLIPTextProjModel
 from diffusers.utils.testing_utils import (
    enable_full_determinism,
    load_numpy,
--- a/tests/pipelines/unclip/test_unclip_image_variation.py
+++ b/tests/pipelines/unclip/test_unclip_image_variation.py
@@ -35,7 +35,7 @@ from diffusers import (
    UNet2DConditionModel,
    UNet2DModel,
 )
-from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel
+from diffusers.pipelines.deprecated.unclip.text_proj import UnCLIPTextProjModel
 from diffusers.utils.testing_utils import (
    enable_full_determinism,
    floats_tensor,