Deprecate Stable Cascade

src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade.py

@@ -21,7 +21,7 @@
 from ...schedulers import DDPMWuerstchenScheduler
 from ...utils import is_torch_version, is_torch_xla_available, logging, replace_example_docstring
 from ...utils.torch_utils import randn_tensor
-from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
+from ..pipeline_utils import DeprecatedPipelineMixin, DiffusionPipeline, ImagePipelineOutput
 from ..wuerstchen.modeling_paella_vq_model import PaellaVQModel
 
 
@@ -55,7 +55,7 @@
 """
 
 
-class StableCascadeDecoderPipeline(DiffusionPipeline):
+class StableCascadeDecoderPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
     """
     Pipeline for generating images from the Stable Cascade model.
 
@@ -79,6 +79,8 @@ class StableCascadeDecoderPipeline(DiffusionPipeline):
             width=int(24*10.67)=256 in order to match the training conditions.
     """
 
+    _last_supported_version = "0.35.2"
+
     unet_name = "decoder"
     text_encoder_name = "text_encoder"
     model_cpu_offload_seq = "text_encoder->decoder->vqgan"

src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_combined.py

@@ -20,7 +20,7 @@
 from ...models import StableCascadeUNet
 from ...schedulers import DDPMWuerstchenScheduler
 from ...utils import is_torch_version, replace_example_docstring
-from ..pipeline_utils import DiffusionPipeline
+from ..pipeline_utils import DeprecatedPipelineMixin, DiffusionPipeline
 from ..wuerstchen.modeling_paella_vq_model import PaellaVQModel
 from .pipeline_stable_cascade import StableCascadeDecoderPipeline
 from .pipeline_stable_cascade_prior import StableCascadePriorPipeline
@@ -42,7 +42,7 @@
 """
 
 
-class StableCascadeCombinedPipeline(DiffusionPipeline):
+class StableCascadeCombinedPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
     """
     Combined Pipeline for text-to-image generation using Stable Cascade.
 
@@ -74,6 +74,8 @@ class StableCascadeCombinedPipeline(DiffusionPipeline):
             Frozen CLIP image-encoder ([clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14)).
     """
 
+    _last_supported_version = "0.35.2"
+
     _load_connected_pipes = True
     _optional_components = ["prior_feature_extractor", "prior_image_encoder"]
 

src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py

@@ -25,7 +25,7 @@
 from ...schedulers import DDPMWuerstchenScheduler
 from ...utils import BaseOutput, is_torch_xla_available, logging, replace_example_docstring
 from ...utils.torch_utils import randn_tensor
-from ..pipeline_utils import DiffusionPipeline
+from ..pipeline_utils import DeprecatedPipelineMixin, DiffusionPipeline
 
 
 if is_torch_xla_available():
@@ -77,7 +77,7 @@ class StableCascadePriorPipelineOutput(BaseOutput):
     negative_prompt_embeds_pooled: Union[torch.Tensor, np.ndarray]
 
 
-class StableCascadePriorPipeline(DiffusionPipeline):
+class StableCascadePriorPipeline(DeprecatedPipelineMixin, DiffusionPipeline):
     """
     Pipeline for generating image prior for Stable Cascade.
 
@@ -103,6 +103,8 @@ class StableCascadePriorPipeline(DiffusionPipeline):
             Default resolution for multiple images generated.
     """
 
+    _last_supported_version = "0.35.2"
+
     unet_name = "prior"
     text_encoder_name = "text_encoder"
     model_cpu_offload_seq = "image_encoder->text_encoder->prior"