stable diffusion 创建embedding错误

先说解决方法，模型不要选择XL的模型

Traceback (most recent call last):
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
    return await future
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
    result = context.run(func, *args)
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "I:\AI\stable-diffusion-webui-master\modules\textual_inversion\ui.py", line 10, in create_embedding
    filename = modules.textual_inversion.textual_inversion.create_embedding(name, nvpt, overwrite_old, init_text=initialization_text)
  File "I:\AI\stable-diffusion-webui-master\modules\textual_inversion\textual_inversion.py", line 259, in create_embedding
    cond_model([""])  # will send cond model to GPU if lowvram/medvram is active
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "I:\AI\stable-diffusion-webui-master\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "I:\AI\stable-diffusion-webui-master\repositories\generative-models\sgm\modules\encoders\modules.py", line 141, in forward
    emb_out = embedder(batch[embedder.input_key])
TypeError: list indices must be integers or slices, not str