Pipeline deprecations

docs/source/en/api/attnprocessor.md

@@ -46,7 +46,7 @@ An attention processor is a class for applying different types of attention mech
 
 ## CrossFrameAttnProcessor
 
-[[autodoc]] pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor
+[[autodoc]] pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.CrossFrameAttnProcessor
 
 ## Custom Diffusion
 
@@ -163,4 +163,4 @@ An attention processor is a class for applying different types of attention mech
 
 ## XLAFluxFlashAttnProcessor2_0
 
-[[autodoc]] models.attention_processor.XLAFluxFlashAttnProcessor2_0
+[[autodoc]] models.attention_processor.XLAFluxFlashAttnProcessor2_0

docs/source/en/api/models/controlnet_flux.md

@@ -42,4 +42,4 @@ pipe = FluxControlNetPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", co
 
 ## FluxControlNetOutput
 
-[[autodoc]] models.controlnet_flux.FluxControlNetOutput
+[[autodoc]] models.controlnets.FluxControlNetOutput

docs/source/en/api/models/controlnet_sparsectrl.md

@@ -43,4 +43,4 @@ controlnet = SparseControlNetModel.from_pretrained("guoyww/animatediff-sparsectr
 
 ## SparseControlNetOutput
 
-[[autodoc]] models.controlnet_sparsectrl.SparseControlNetOutput
+[[autodoc]] models.controlnets.SparseControlNetOutput

docs/source/en/api/pipelines/i2vgenxl.md

@@ -55,4 +55,4 @@ Sample output with I2VGenXL:
 	- __call__
 
 ## I2VGenXLPipelineOutput
-[[autodoc]] pipelines.i2vgen_xl.pipeline_i2vgen_xl.I2VGenXLPipelineOutput
+[[autodoc]] pipelines.deprecated.i2vgen_xl.pipeline_i2vgen_xl.I2VGenXLPipelineOutput

docs/source/en/api/pipelines/pia.md

@@ -168,4 +168,4 @@ FreeInit is not really free - the improved quality comes at the cost of extra co
 
 ## PIAPipelineOutput
 
-[[autodoc]] pipelines.pia.PIAPipelineOutput
+[[autodoc]] pipelines.deprecated.pia.PIAPipelineOutput

docs/source/en/api/pipelines/semantic_stable_diffusion.md

@@ -31,5 +31,5 @@ Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers)
 	- __call__
 
 ## SemanticStableDiffusionPipelineOutput
-[[autodoc]] pipelines.semantic_stable_diffusion.pipeline_output.SemanticStableDiffusionPipelineOutput
+[[autodoc]] pipelines.deprecated.semantic_stable_diffusion.pipeline_output.SemanticStableDiffusionPipelineOutput
 	- all

docs/source/en/api/pipelines/shap_e.md

@@ -34,4 +34,4 @@ See the [reuse components across pipelines](../../using-diffusers/loading#reuse-
 	- __call__
 
 ## ShapEPipelineOutput
-[[autodoc]] pipelines.shap_e.pipeline_shap_e.ShapEPipelineOutput
+[[autodoc]] pipelines.deprecated.shap_e.pipeline_shap_e.ShapEPipelineOutput

docs/source/en/api/pipelines/stable_diffusion/ldm3d_diffusion.md

@@ -35,14 +35,14 @@ Make sure to check out the Stable Diffusion [Tips](overview#tips) section to lea
 
 ## StableDiffusionLDM3DPipeline
 
-[[autodoc]] pipelines.stable_diffusion_ldm3d.pipeline_stable_diffusion_ldm3d.StableDiffusionLDM3DPipeline
+[[autodoc]] pipelines.deprecated.stable_diffusion_ldm3d.pipeline_stable_diffusion_ldm3d.StableDiffusionLDM3DPipeline
 	- all
 	- __call__
 
 
 ## LDM3DPipelineOutput
 
-[[autodoc]] pipelines.stable_diffusion_ldm3d.pipeline_stable_diffusion_ldm3d.LDM3DPipelineOutput
+[[autodoc]] pipelines.deprecated.stable_diffusion_ldm3d.pipeline_stable_diffusion_ldm3d.LDM3DPipelineOutput
 	- all
 	- __call__
 

docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_safe.md

@@ -56,6 +56,6 @@ Make sure to check out the Stable Diffusion [Tips](overview#tips) section to lea
 
 ## StableDiffusionSafePipelineOutput
 
-[[autodoc]] pipelines.stable_diffusion_safe.StableDiffusionSafePipelineOutput
+[[autodoc]] pipelines.deprecated.stable_diffusion_safe.StableDiffusionSafePipelineOutput
 	- all
 	- __call__

docs/source/en/api/pipelines/text_to_video.md

@@ -194,4 +194,4 @@ Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers)
 	- __call__
 
 ## TextToVideoSDPipelineOutput
-[[autodoc]] pipelines.text_to_video_synthesis.TextToVideoSDPipelineOutput
+[[autodoc]] pipelines.deprecated.text_to_video_synthesis.TextToVideoSDPipelineOutput

docs/source/en/api/pipelines/text_to_video_zero.md

@@ -303,4 +303,4 @@ Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers)
 	- __call__
 
 ## TextToVideoPipelineOutput
-[[autodoc]] pipelines.text_to_video_synthesis.pipeline_text_to_video_zero.TextToVideoPipelineOutput
+[[autodoc]] pipelines.deprecated.text_to_video_synthesis.pipeline_text_to_video_zero.TextToVideoPipelineOutput

docs/source/en/api/pipelines/wuerstchen.md

@@ -145,7 +145,7 @@ The original codebase, as well as experimental ideas, can be found at [dome272/W
 
 ## WuerstchenPriorPipelineOutput
 
-[[autodoc]] pipelines.wuerstchen.pipeline_wuerstchen_prior.WuerstchenPriorPipelineOutput
+[[autodoc]] pipelines.deprecated.wuerstchen.pipeline_wuerstchen_prior.WuerstchenPriorPipelineOutput
 
 ## WuerstchenDecoderPipeline
 

examples/community/pipeline_animatediff_controlnet.py

@@ -436,7 +436,7 @@ def prepare_ip_adapter_image_embeds(
             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 @@ def check_image(self, image, prompt, prompt_embeds):
                 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
     ):

examples/community/pipeline_animatediff_img2video.py

@@ -553,7 +553,7 @@ def prepare_ip_adapter_image_embeds(
             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
 

examples/community/pipeline_animatediff_ipex.py

@@ -425,7 +425,7 @@ def prepare_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
 
@@ -520,7 +520,7 @@ def check_inputs(
                     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
     ):

examples/community/pipeline_stg_cogvideox.py

@@ -427,7 +427,7 @@ def prepare_extra_step_kwargs(self, generator, eta):
             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,

examples/community/unclip_image_interpolation.py

@@ -18,7 +18,7 @@
     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 @@ def __init__(
             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 @@ def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
         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 @@ def _encode_prompt(self, prompt, device, num_images_per_prompt, do_classifier_fr
 
         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
 

examples/community/unclip_text_interpolation.py

@@ -14,7 +14,7 @@
     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 @@ def __init__(
             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 @@ def prepare_latents(self, shape, dtype, device, generator, latents, scheduler):
         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,

examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py

@@ -40,7 +40,7 @@
 
 from diffusers import AutoPipelineForText2Image, DDPMWuerstchenScheduler, WuerstchenPriorPipeline
 from diffusers.optimization import get_scheduler
-from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS, WuerstchenPrior
+from diffusers.pipelines.deprecated.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS, WuerstchenPrior
 from diffusers.utils import check_min_version, is_wandb_available, make_image_grid
 from diffusers.utils.logging import set_verbosity_error, set_verbosity_info
 

examples/research_projects/wuerstchen/text_to_image/train_text_to_image_prior.py

@@ -40,7 +40,7 @@
 
 from diffusers import AutoPipelineForText2Image, DDPMWuerstchenScheduler
 from diffusers.optimization import get_scheduler
-from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS, WuerstchenPrior
+from diffusers.pipelines.deprecated.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS, WuerstchenPrior
 from diffusers.training_utils import EMAModel
 from diffusers.utils import check_min_version, is_wandb_available, make_image_grid
 from diffusers.utils.logging import set_verbosity_error, set_verbosity_info

scripts/convert_kakao_brain_unclip_to_diffusers.py

@@ -7,7 +7,7 @@
 
 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
 
 

scripts/convert_shap_e_to_diffusers.py

@@ -5,7 +5,7 @@
 from accelerate import load_checkpoint_and_dispatch
 
 from diffusers.models.transformers.prior_transformer import PriorTransformer
-from diffusers.pipelines.shap_e import ShapERenderer
+from diffusers.pipelines.deprecated.shap_e import ShapERenderer
 
 
 """

scripts/convert_stable_cascade.py

@@ -21,7 +21,7 @@
 from diffusers.loaders.single_file_utils import convert_stable_cascade_unet_single_file_to_diffusers
 from diffusers.models import StableCascadeUNet
 from diffusers.models.modeling_utils import load_model_dict_into_meta
-from diffusers.pipelines.wuerstchen import PaellaVQModel
+from diffusers.pipelines.deprecated.wuerstchen import PaellaVQModel
 from diffusers.utils import is_accelerate_available
 
 

scripts/convert_stable_cascade_lite.py

@@ -21,7 +21,7 @@
 from diffusers.loaders.single_file_utils import convert_stable_cascade_unet_single_file_to_diffusers
 from diffusers.models import StableCascadeUNet
 from diffusers.models.modeling_utils import load_model_dict_into_meta
-from diffusers.pipelines.wuerstchen import PaellaVQModel
+from diffusers.pipelines.deprecated.wuerstchen import PaellaVQModel
 from diffusers.utils import is_accelerate_available
 
 

scripts/convert_wuerstchen.py

@@ -11,7 +11,7 @@
     WuerstchenDecoderPipeline,
     WuerstchenPriorPipeline,
 )
-from diffusers.pipelines.wuerstchen import PaellaVQModel, WuerstchenDiffNeXt, WuerstchenPrior
+from diffusers.pipelines.deprecated.wuerstchen import PaellaVQModel, WuerstchenDiffNeXt, WuerstchenPrior
 
 
 model_path = "models/"

src/diffusers/models/unets/unet_stable_cascade.py

@@ -27,7 +27,7 @@
 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)