add fix to be able use StableDiffusionXLAdapterPipeline.from_single_file (#5547)

src/diffusers/loaders.py

@@ -2727,6 +2727,7 @@ class FromSingleFileMixin:
         text_encoder = kwargs.pop("text_encoder", None)
         vae = kwargs.pop("vae", None)
         controlnet = kwargs.pop("controlnet", None)
+        adapter = kwargs.pop("adapter", None)
         tokenizer = kwargs.pop("tokenizer", None)
 
         torch_dtype = kwargs.pop("torch_dtype", None)
@@ -2819,6 +2820,7 @@ class FromSingleFileMixin:
             model_type=model_type,
             stable_unclip=stable_unclip,
             controlnet=controlnet,
+            adapter=adapter,
             from_safetensors=from_safetensors,
             extract_ema=extract_ema,
             image_size=image_size,

src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py

@@ -1145,6 +1145,7 @@ def download_from_original_stable_diffusion_ckpt(
     stable_unclip_prior: Optional[str] = None,
     clip_stats_path: Optional[str] = None,
     controlnet: Optional[bool] = None,
+    adapter: Optional[bool] = None,
     load_safety_checker: bool = True,
     pipeline_class: DiffusionPipeline = None,
     local_files_only=False,
@@ -1723,6 +1724,18 @@ def download_from_original_stable_diffusion_ckpt(
                     scheduler=scheduler,
                     force_zeros_for_empty_prompt=True,
                 )
+            elif adapter:
+                pipe = pipeline_class(
+                    vae=vae,
+                    text_encoder=text_encoder,
+                    tokenizer=tokenizer,
+                    text_encoder_2=text_encoder_2,
+                    tokenizer_2=tokenizer_2,
+                    unet=unet,
+                    adapter=adapter,
+                    scheduler=scheduler,
+                    force_zeros_for_empty_prompt=True,
+                )
             else:
                 pipe = pipeline_class(
                     vae=vae,