Please support SDXL safetensors too!

[mykeehu]

I have many SDXL models downloaded in .safetensor format, but I can't use them in LCM and LCM-Lora mode. I get this error:

  File "C:\fastsdcpu\env\lib\site-packages\gradio\queueing.py", line 536, in process_events
    response = await route_utils.call_process_api(
  File "C:\fastsdcpu\env\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\fastsdcpu\env\lib\site-packages\gradio\blocks.py", line 1935, in process_api
    result = await self.call_function(
  File "C:\fastsdcpu\env\lib\site-packages\gradio\blocks.py", line 1520, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "C:\fastsdcpu\env\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "C:\fastsdcpu\env\lib\site-packages\anyio\_backends\_asyncio.py", line 2441, in run_sync_in_worker_thread
    return await future
  File "C:\fastsdcpu\env\lib\site-packages\anyio\_backends\_asyncio.py", line 943, in run
    result = context.run(func, *args)
  File "C:\fastsdcpu\env\lib\site-packages\gradio\utils.py", line 826, in wrapper
    response = f(*args, **kwargs)
  File "C:\fastsdcpu\src\frontend\webui\text_to_image_ui.py", line 54, in generate_text_to_image
    images = future.result()
  File "C:\ProgramData\miniconda3\lib\concurrent\futures\_base.py", line 458, in result
    return self.__get_result()
  File "C:\ProgramData\miniconda3\lib\concurrent\futures\_base.py", line 403, in __get_result
    raise self._exception
  File "C:\ProgramData\miniconda3\lib\concurrent\futures\thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
  File "C:\fastsdcpu\src\context.py", line 59, in generate_text_to_image
    images = self.lcm_text_to_image.generate(
  File "C:\fastsdcpu\src\backend\lcm_text_to_image.py", line 493, in generate
    result_images = self.pipeline(
  File "C:\fastsdcpu\env\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "C:\fastsdcpu\env\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py", line 1000, in __call__
    noise_pred = self.unet(
  File "C:\fastsdcpu\env\lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "C:\fastsdcpu\env\lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
  File "C:\fastsdcpu\env\lib\site-packages\diffusers\models\unets\unet_2d_condition.py", line 1152, in forward
    aug_emb = self.get_aug_embed(
  File "C:\fastsdcpu\env\lib\site-packages\diffusers\models\unets\unet_2d_condition.py", line 969, in get_aug_embed
    if "text_embeds" not in added_cond_kwargs:
TypeError: argument of type 'NoneType' is not iterable

If I download them in Huggingface format, they take up much more space as .safetensor. There are also some SDXL-LCM format models that I would use in LCM mode.