Repository: stable-diffusion-webui
Issue: [Bug]: Error when training embedding in automatic1111 1.6
Labels: bug-report

### Is there an existing issue for this?

- [X] I have searched the existing issues and checked the recent builds/commits

### What happened?

i am getting this error when i click train. 

![image](https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/37007483/bb29bbc5-e20b-45cb-8acb-b9c94877abf3)

as you see in automatic1111 1.6 it created embedding fine
![image](https://github.com/AUTOMATIC1111/stable-diffusion-webui/assets/37007483/7f68f9c0-796b-493e-a4ac-55ad7df2512e)



### Steps to reproduce the problem

1. create embedding with sdxl model active. 
2. click train
3. same error should pop up. 


### What should have happened?

it should train. 

### Sysinfo

{
    "Platform": "Windows-10-10.0.22621-SP0",
    "Python": "3.10.6",
    "Version": "v1.6.0",
    "Commit": "5ef669de080814067961f28357256e8fe27544f4",
    "Script path": "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui",
    "Data path": "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui",
    "Extensions dir": "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\extensions",
    "Checksum": "c7896bd0e47a31fab4431fd0417a5ab89edf7aa60b8c318846fee964b79c2eb6",
    "Commandline": [
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    "Torch env info": {
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        "is_debug_build": "False",
        "cuda_compiled_version": "11.8",
        "gcc_version": null,
        "clang_version": null,
        "cmake_version": "version 3.26.4",
        "os": "Microsoft Windows 11 Pro",
        "libc_version": "N/A",
        "python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)",
        "python_platform": "Windows-10-10.0.22621-SP0",
        "is_cuda_available": "True",
        "cuda_runtime_version": "10.1.105",
        "cuda_module_loading": "LAZY",
        "nvidia_driver_version": "536.67",
        "nvidia_gpu_models": "GPU 0: NVIDIA GeForce RTX 4090",
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        "pip_version": "pip3",
        "pip_packages": [
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            "torchdiffeq==0.2.3",
            "torchmetrics==1.1.1",
            "torchsde==0.2.5",
            "torchvision==0.15.2+cu118"
        ],
        "conda_packages": null,
        "hip_compiled_version": "N/A",
        "hip_runtime_version": "N/A",
        "miopen_runtime_version": "N/A",
        "caching_allocator_config": "",
        "is_xnnpack_available": "True",
        "cpu_info": [
            "Architecture=9",
            "CurrentClockSpeed=3000",
            "DeviceID=CPU0",
            "Family=207",
            "L2CacheSize=32768",
            "L2CacheSpeed=",
            "Manufacturer=GenuineIntel",
            "MaxClockSpeed=3000",
            "Name=13th Gen Intel(R) Core(TM) i9-13900K",
            "ProcessorType=3",
            "Revision="
        ]
    },
    "Exceptions": [
        {
            "exception": "'CS'",
            "traceback": [
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\textual_inversion\\ui.py, line 33, train_embedding",
                    "embedding, filename = modules.textual_inversion.textual_inversion.train_embedding(*args)"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\textual_inversion\\textual_inversion.py, line 427, train_embedding",
                    "embedding = hijack.embedding_db.word_embeddings[embedding_name]"
                ]
            ]
        },
        {
            "exception": "'CS'",
            "traceback": [
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\call_queue.py, line 57, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\call_queue.py, line 36, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\textual_inversion\\ui.py, line 33, train_embedding",
                    "embedding, filename = modules.textual_inversion.textual_inversion.train_embedding(*args)"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\textual_inversion\\textual_inversion.py, line 427, train_embedding",
                    "embedding = hijack.embedding_db.word_embeddings[embedding_name]"
                ]
            ]
        },
        {
            "exception": "A tensor with all NaNs was produced in VAE. This could be because there's not enough precision to represent the picture. Try adding --no-half-vae commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
            "traceback": [
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\processing.py, line 598, decode_latent_batch",
                    "devices.test_for_nans(sample, \"vae\")"
                ],
                [
                    "C:\\ai\\AI2\\sdxl\\sdxl\\stable-diffusion-webui\\modules\\devices.py, line 136, test_for_nans",
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        "pandas==2.1.0",
        "piexif==1.1.3",
        "pillow==9.5.0",
        "pip==22.2.1",
        "platformdirs==3.10.0",
        "protobuf==3.20.0",
        "psutil==5.9.5",
        "pyasn1-modules==0.3.0",
        "pyasn1==0.5.0",
        "pydantic==1.10.12",
        "pydub==0.25.1",
        "pyparsing==3.0.9",
        "pysocks==1.7.1",
        "python-dateutil==2.8.2",
        "python-multipart==0.0.6",
        "pytorch-lightning==1.9.4",
        "pytz==2023.3",
        "pywavelets==1.4.1",
        "pyyaml==6.0.1",
        "realesrgan==0.3.0",
        "referencing==0.30.2",
        "regex==2023.8.8",
        "requests-oauthlib==1.3.1",
        "requests==2.31.0",
        "resize-right==0.0.2",
        "rpds-py==0.10.0",
        "rsa==4.9",
        "safetensors==0.3.1",
        "scikit-image==0.21.0",
        "scipy==1.11.2",
        "semantic-version==2.10.0",
        "sentencepiece==0.1.99",
        "setuptools==63.2.0",
        "six==1.16.0",
        "smmap==5.0.0",
        "sniffio==1.3.0",
        "soupsieve==2.4.1",
        "starlette==0.26.1",
        "sympy==1.12",
        "tb-nightly==2.15.0a20230831",
        "tensorboard-data-server==0.7.1",
        "tifffile==2023.8.30",
        "timm==0.9.2",
        "tokenizers==0.13.3",
        "tomesd==0.1.3",
        "tomli==2.0.1",
        "toolz==0.12.0",
        "torch==2.0.1+cu118",
        "torchdiffeq==0.2.3",
        "torchmetrics==1.1.1",
        "torchsde==0.2.5",
        "torchvision==0.15.2+cu118",
        "tqdm==4.66.1",
        "trampoline==0.1.2",
        "transformers==4.30.2",
        "typing-extensions==4.7.1",
        "tzdata==2023.3",
        "urllib3==1.26.16",
        "uvicorn==0.23.2",
        "wcwidth==0.2.6",
        "websockets==11.0.3",
        "werkzeug==2.3.7",
        "wheel==0.41.2",
        "yapf==0.40.1",
        "yarl==1.9.2",
        "zipp==3.16.2"
    ]
}

### What browsers do you use to access the UI ?

Google Chrome

### Console logs

```Shell
---
Applying attention optimization: Doggettx... done.
*** Error completing request
*** Arguments: ('task(v25aw6e4gyqzn1j)', 'CS', '0.0001', 1, 1, 'C:\\ai\\Kohya\\training data\\chaos\\chaosdxl2\\img\\40_rainbow style', 'textual_inversion', 1024, 1024, False, 2000, 'disabled', '0.1', False, 0, 'once', False, 100, 500, 'style.txt', True, False, 'test 2-000007 3 2-000007 2-000007 Chaos', '', 20, 'Euler a', 7, -1, 1024, 1024) {}
    Traceback (most recent call last):
      File "C:\ai\AI2\sdxl\sdxl\stable-diffusion-webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "C:\ai\AI2\sdxl\sdxl\stable-diffusion-webui\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "C:\ai\AI2\sdxl\sdxl\stable-diffusion-webui\modules\textual_inversion\ui.py", line 33, in train_embedding
        embedding, filename = modules.textual_inversion.textual_inversion.train_embedding(*args)
      File "C:\ai\AI2\sdxl\sdxl\stable-diffusion-webui\modules\textual_inversion\textual_inversion.py", line 427, in train_embedding
        embedding = hijack.embedding_db.word_embeddings[embedding_name]
    KeyError: 'CS'

---
```


### Additional information

_No response_