stable diffusion adapter pipeline for t2i adapter missing `from_single_file` about diffusers

[yiyixuxu]

can you provide a reproducible code example?

[JemiloII]

I'm not sure why I even need to give an example when I pointed out that from_single_file is missing from the pipeline.

But from modifying a line in the example code here: https://huggingface.co/docs/diffusers/en/training/t2i_adapters

Using diffusers 0.27.2

from diffusers import StableDiffusionXLAdapterPipeline, T2IAdapter, EulerAncestralDiscreteSchedulerTest
from diffusers.utils import load_image
import torch

# modifed line below doesn't work, doesn't have this method like most of the other pipelines/etc
adapter = T2IAdapter.from_single_file("path/to/adapter.safetensors", torch_dtype=torch.float16)
pipeline = StableDiffusionXLAdapterPipeline.from_single_file(
    "path/to/model.safetensors", adapter=adapter, torch_dtype=torch.float16
)

pipeline.scheduler = EulerAncestralDiscreteSchedulerTest.from_config(pipe.scheduler.config)
pipeline.enable_xformers_memory_efficient_attention()
pipeline.enable_model_cpu_offload()

control_image = load_image("./conditioning_image_1.png")
prompt = "pale golden rod circle with old lace background"

generator = torch.manual_seed(0)
image = pipeline(
    prompt, image=control_image, generator=generator
).images[0]
image.save("./output.png")

[yiyixuxu]

cc @DN6 here - do we plan to support T2IAdapter?