Newbie Question: TyperError embedding.

[pcherrera]

I'm new to using this UI on google colab. I'm trying to make an embedding. However, when I create a new embedding the following issue appears.

Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1435, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1107, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 707, in wrapper
response = f(*args, **kwargs)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/ui.py", line 11, in create_embedding
filename = modules.textual_inversion.textual_inversion.create_embedding(name, nvpt, overwrite_old, init_text=initialization_text)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/textual_inversion/textual_inversion.py", line 292, in create_embedding
cond_model([""]) # will send cond model to GPU if lowvram/medvram is active
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/gdrive/MyDrive/sd/stablediffusion/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

[phluffhead26]

I'm running into this same issue. Did you, or anyone else, ever find a solution?

[pcherrera]

Taking a look in other threads, this is Unnafortunately a problem with the model sldx. If you change your base model you will find able to make an embedding.

[phluffhead26]

Yeah, I've been searching all over the place and seeing only 2 answers.

1. Embeddings can't be trained on SDXL yet (and that might be by design, or at least not coming anytime soon) or;
2. There is some sort of workaround having to do with unchecking "Read parameters (prompt, etc...) from txt2img tab when making previews" - reddit thread