support StableDiffusionAdapterPipeline.from_single_file (#10552)

* support StableDiffusionAdapterPipeline.from_single_file

* make style

---------
Co-authored-by: Teriks <Teriks@users.noreply.github.com>
Co-authored-by: hlky <hlky@hlky.ac>

src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py

@@ -22,7 +22,7 @@ import torch
 from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
 
 from ...image_processor import VaeImageProcessor
-from ...loaders import StableDiffusionLoraLoaderMixin, TextualInversionLoaderMixin
+from ...loaders import FromSingleFileMixin, StableDiffusionLoraLoaderMixin, TextualInversionLoaderMixin
 from ...models import AutoencoderKL, MultiAdapter, T2IAdapter, UNet2DConditionModel
 from ...models.lora import adjust_lora_scale_text_encoder
 from ...schedulers import KarrasDiffusionSchedulers
@@ -188,7 +188,7 @@ def retrieve_timesteps(
     return timesteps, num_inference_steps
 
 
-class StableDiffusionAdapterPipeline(DiffusionPipeline, StableDiffusionMixin):
+class StableDiffusionAdapterPipeline(DiffusionPipeline, StableDiffusionMixin, FromSingleFileMixin):
     r"""
     Pipeline for text-to-image generation using Stable Diffusion augmented with T2I-Adapter
     https://arxiv.org/abs/2302.08453