[bug]: repo_name error when using starter SDQN model

### Is there an existing issue for this problem?

- [x] I have searched the existing issues

### Install method

Manual

### Operating system

Linux

### GPU vendor

AMD (ROCm)

### GPU model

RX 6700 XT

### GPU VRAM

12

### Version number

6.14.1

### Browser

Firefox 155.0.1

### System Information

{
"version": "6.14.1",
"dependencies": {
"absl-py" : "2.5.0",
"accelerate" : "1.14.0",
"annotated-doc" : "0.0.5",
"annotated-types" : "0.8.0",
"anyio" : "4.15.1",
"argon2-cffi" : "25.1.0",
"argon2-cffi-bindings" : "26.1.0",
"arrow" : "1.4.0",
"asttokens" : "3.0.2",
"async-lru" : "2.3.0",
"attrs" : "26.1.0",
"babel" : "2.18.0",
"bcrypt" : "3.2.2",
"beautifulsoup4" : "4.15.0",
"bidict" : "0.24.1",
"bitsandbytes" : "0.50.2",
"blake3" : "1.0.9",
"bleach" : "6.4.0",
"certifi" : "2022.12.7",
"cffi" : "2.1.1",
"charset-normalizer" : "2.1.1",
"click" : "8.5.0",
"coloredlogs" : "15.0.1",
"comm" : "0.2.3",
"compel" : "2.4.0",
"contourpy" : "1.3.3",
"cryptography" : "50.0.1",
"CUDA" : "N/A",
"cycler" : "0.12.1",
"debugpy" : "1.8.21",
"decorator" : "5.3.1",
"defusedxml" : "0.7.1",
"Deprecated" : "1.3.1",
"diffusers" : "0.40.0",
"dnspython" : "2.8.0",
"dynamicprompts" : "0.31.0",
"ecdsa" : "0.19.2",
"einops" : "0.8.2",
"email-validator" : "2.3.0",
"executing" : "2.2.1",
"fastapi" : "0.141.1",
"fastapi-events" : "0.12.2",
"fastjsonschema" : "2.22.2",
"filelock" : "3.32.3",
"flash_attn" : "2.8.3.post1",
"flatbuffers" : "25.12.19",
"fonttools" : "4.64.0",
"fqdn" : "1.5.1",
"fsspec" : "2026.7.0",
"gguf" : "0.19.0",
"h11" : "0.16.0",
"hf-xet" : "1.6.0",
"httpcore" : "1.0.9",
"httptools" : "0.8.0",
"httpx" : "0.28.1",
"huggingface_hub" : "1.30.0",
"humanfriendly" : "10.0",
"idna" : "3.4",
"ImageIO" : "2.37.4",
"imageio-ffmpeg" : "0.6.0",
"importlib_metadata" : "8.7.0",
"iniconfig" : "2.1.0",
"invisible-watermark" : "0.2.0",
"InvokeAI" : "6.14.1",
"ipykernel" : "7.3.0",
"ipython" : "9.17.1",
"ipython_pygments_lexers" : "1.1.1",
"isoduration" : "20.11.0",
"jax" : "0.7.1",
"jaxlib" : "0.7.1",
"jedi" : "0.20.0",
"Jinja2" : "3.1.6",
"json5" : "0.15.0",
"jsonpointer" : "3.1.1",
"jsonschema" : "4.26.0",
"jsonschema-specifications": "2025.9.1",
"jupyter-events" : "0.12.1",
"jupyter-lsp" : "2.3.1",
"jupyter_client" : "8.10.0",
"jupyter_core" : "5.9.1",
"jupyter_server" : "2.21.0",
"jupyter_server_terminals" : "0.5.4",
"jupyterlab" : "4.1.6",
"jupyterlab_pygments" : "0.3.0",
"jupyterlab_server" : "2.24.0",
"kiwisolver" : "1.5.1",
"lark" : "1.3.1",
"lion-pytorch" : "0.2.3",
"markdown-it-py" : "4.2.0",
"MarkupSafe" : "3.0.3",
"matplotlib" : "3.11.1",
"matplotlib-inline" : "0.2.2",
"mdurl" : "0.1.2",
"mediapipe" : "0.10.14",
"mistral_common" : "1.11.7",
"mistune" : "3.3.4",
"ml_dtypes" : "0.5.4",
"mpmath" : "1.3.0",
"nbclient" : "0.11.0",
"nbconvert" : "7.17.1",
"nbformat" : "5.11.1",
"nest-asyncio2" : "1.7.2",
"networkx" : "3.6.1",
"notebook" : "7.1.3",
"notebook_shim" : "0.2.4",
"numpy" : "1.26.4",
"onnx" : "1.16.1",
"onnxruntime" : "1.19.2",
"opencv-contrib-python" : "4.11.0.86",
"opencv-python" : "4.11.0.86",
"opt_einsum" : "3.4.0",
"packaging" : "24.1",
"pandas" : "2.2.3",
"pandocfilters" : "1.5.1",
"parso" : "0.8.7",
"passlib" : "1.7.4",
"pexpect" : "4.9.0",
"picklescan" : "1.0.5",
"pillow" : "12.3.0",
"platformdirs" : "4.11.7",
"pluggy" : "1.5.0",
"prometheus_client" : "0.26.0",
"prompt_toolkit" : "3.0.53",
"protobuf" : "4.25.9",
"psutil" : "7.2.2",
"ptyprocess" : "0.7.0",
"pure_eval" : "0.2.3",
"pyasn1" : "0.6.4",
"pycountry" : "26.2.16",
"pycparser" : "3.0",
"pydantic" : "2.13.5",
"pydantic-extra-types" : "2.11.1",
"pydantic-settings" : "2.15.0",
"pydantic_core" : "2.46.5",
"Pygments" : "2.21.0",
"pyparsing" : "3.3.2",
"PyPatchMatch" : "1.0.2",
"pytest" : "8.3.5",
"python-dateutil" : "2.9.0.post0",
"python-dotenv" : "1.2.3",
"python-engineio" : "4.14.0",
"python-jose" : "3.5.0",
"python-json-logger" : "4.2.0",
"python-multipart" : "0.0.32",
"python-socketio" : "5.16.4",
"pytorch-triton-rocm" : "3.3.1",
"pytz" : "2025.2",
"PyWavelets" : "1.10.0",
"PyYAML" : "6.0.3",
"pyzmq" : "27.2.0",
"referencing" : "0.37.0",
"regex" : "2026.9.3",
"requests" : "2.28.1",
"rfc3339-validator" : "0.1.4",
"rfc3986-validator" : "0.1.1",
"rfc3987-syntax" : "1.1.0",
"rich" : "15.0.0",
"rpds-py" : "2026.6.3",
"rsa" : "4.9.1",
"safetensors" : "0.8.0",
"scipy" : "1.17.1",
"semver" : "3.0.4",
"Send2Trash" : "2.1.0",
"sentencepiece" : "0.2.0",
"setuptools" : "78.1.0",
"shellingham" : "1.5.4",
"simple-websocket" : "1.1.0",
"six" : "1.17.0",
"sniffio" : "1.3.1",
"sounddevice" : "0.5.6",
"soupsieve" : "2.9.2",
"spandrel" : "0.4.2",
"stack-data" : "0.6.3",
"starlette" : "1.6.0",
"sympy" : "1.14.0",
"terminado" : "0.18.1",
"tiktoken" : "0.14.0",
"tinycss2" : "1.5.1",
"tokenizers" : "0.22.2",
"torch" : "2.13.0+rocm7.1",
"torchsde" : "0.2.6",
"torchvision" : "0.28.0+rocm7.1",
"tornado" : "6.5.8",
"tqdm" : "4.66.5",
"traitlets" : "5.16.1",
"trampoline" : "0.1.2",
"transformers" : "5.5.4",
"triton-rocm" : "3.7.1",
"typer" : "0.27.2",
"typing-inspection" : "0.4.4",
"typing_extensions" : "4.16.0",
"tzdata" : "2026.3",
"uri-template" : "1.3.0",
"urllib3" : "1.26.13",
"uvicorn" : "0.52.4",
"uvloop" : "0.22.1",
"watchfiles" : "1.2.0",
"wcwidth" : "0.8.3",
"webcolors" : "25.10.0",
"webencodings" : "0.6.1",
"websocket-client" : "1.9.2",
"websockets" : "17.1",
"wheel" : "0.43.0",
"wrapt" : "2.4.0",
"wsproto" : "1.3.2",
"zipp" : "3.23.0"
},
"config": {
"schema_version": "4.0.3",
"legacy_models_yaml_path": null,
"host": "127.0.0.1",
"port": 9090,
"allow_origins": [],
"allow_credentials": true,
"allow_methods": ["*"],
"allow_headers": ["*"],
"ssl_certfile": null,
"ssl_keyfile": null,
"base_url": null,
"forwarded_allow_ips": "127.0.0.1",
"http_compression_level": 9,
"log_tokenization": false,
"patchmatch": true,
"models_dir": "models",
"convert_cache_dir": "models/.convert_cache",
"download_cache_dir": "models/.download_cache",
"legacy_conf_dir": "configs",
"db_dir": "databases",
"outputs_dir": "/home/user/Documents/invokeai/outputs",
"image_subfolder_strategy": "flat",
"custom_nodes_dir": "nodes",
"style_presets_dir": "style_presets",
"workflow_thumbnails_dir": "workflow_thumbnails",
"log_handlers": ["console"],
"log_format": "color",
"log_level": "info",
"log_sql": false,
"log_level_network": "warning",
"use_memory_db": false,
"dev_reload": false,
"profile_graphs": false,
"profile_prefix": null,
"profiles_dir": "profiles",
"max_cache_ram_gb": null,
"max_cache_vram_gb": null,
"log_memory_usage": false,
"model_cache_keep_alive_min": 0,
"device_working_mem_gb": 5,
"enable_partial_loading": true,
"keep_ram_copy_of_weights": true,
"ram": null,
"vram": null,
"lazy_offload": true,
"pytorch_cuda_alloc_conf": null,
"device": "auto",
"generation_devices": "auto",
"offload_text_encoders_to_idle_gpus": true,
"precision": "float16",
"sequential_guidance": false,
"wan_memory_optimization": false,
"pid_memory_optimization": true,
"attention_type": "sliced",
"attention_slice_size": "balanced",
"force_tiled_decode": true,
"pil_compress_level": 1,
"max_queue_size": 10000,
"session_queue_mode": "round_robin",
"clear_queue_on_startup": false,
"max_queue_history": null,
"allow_nodes": null,
"deny_nodes": null,
"node_cache_size": 512,
"hashing_algorithm": "blake3_single",
"remote_api_tokens": [ {"url_regex": "huggingface.co", "token": "**********"} ],
"scan_models_on_startup": false,
"allow_private_download_urls": false,
"download_proxy": null,
"unsafe_disable_picklescan": false,
"allow_unknown_models": true,
"multiuser": false,
"strict_password_checking": false,
"external_alibabacloud_api_key": null,
"external_alibabacloud_base_url": null,
"external_gemini_api_key": null,
"external_openai_api_key": null,
"external_gemini_base_url": null,
"external_openai_base_url": null,
"external_seedream_api_key": null,
"external_seedream_base_url": null
},
"set_config_fields": [
"force_tiled_decode", "pid_memory_optimization", "outputs_dir", "remote_api_tokens",
"device_working_mem_gb", "attention_type", "precision", "attention_slice_size",
"legacy_models_yaml_path"
]
}

### What happened

Receive this error upon attempting to use the Z-Image Turbo SDQN starter model

```
[2026-09-09 10:48:44,434]::[InvokeAI]::ERROR --> Error while invoking session 301ed14e-c976-498e-80c5-5c4f882cfe0c, invocation 739c1304-ebb2-4768-9922-e6da46f2c640 (z_image_text_encoder): Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'models/invoke/tmpinstall_jlpgfd2n/Z-Image-Turbo-SDNQ-uint4-svd-r32/text_encoder'. Use `repo_type` argument if needed.
[2026-09-09 10:48:44,434]::[InvokeAI]::ERROR --> Traceback (most recent call last):
File ".venv/lib/python3.12/site-packages/transformers/utils/hub.py", line 422, in cached_files
hf_hub_download(
File ".venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 84, in _inner_fn
validate_repo_id(arg_value)
File ".venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 132, in validate_repo_id
raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'models/invoke/tmpinstall_jlpgfd2n/Z-Image-Turbo-SDNQ-uint4-svd-r32/text_encoder'. Use `repo_type` argument if needed.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File ".venv/lib/python3.12/site-packages/invokeai/app/services/session_processor/session_processor_default.py", line 278, in run_node
output = invocation.invoke_internal(context=context, services=self._services)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/app/invocations/baseinvocation.py", line 248, in invoke_internal
output = self.invoke(context)
^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/app/invocations/z_image_text_encoder.py", line 60, in invoke
prompt_embeds = self._encode_prompt(context, max_seq_len=Z_IMAGE_MAX_SEQ_LEN)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/app/invocations/z_image_text_encoder.py", line 76, in _encode_prompt
text_encoder_info = context.models.load(self.qwen3_encoder.text_encoder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/app/services/shared/invocation_context.py", line 553, in load
return self._services.model_manager.load.load_model(model, submodel_type, user_id=self._data.queue_item.user_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/app/services/model_load/model_load_default.py", line 100, in load_model
).load_model(model_config, submodel_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/backend/model_manager/load/load_default.py", line 253, in load_model
cache_record, first_use_claim = self._load_and_cache(model_config, submodel_type)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/backend/model_manager/load/load_default.py", line 355, in _load_and_cache
loaded_model = put_in_eval_mode(self._load_model(config, submodel_type))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/backend/model_manager/load/model_loaders/z_image.py", line 622, in _load_model
return self._load_text_encoder(config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/invokeai/backend/model_manager/load/model_loaders/z_image.py", line 639, in _load_text_encoder
te_config = AutoConfig.from_pretrained(te_dir, local_files_only=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 1483, in from_pretrained
config_dict, unused_kwargs = PreTrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/transformers/configuration_utils.py", line 670, in get_config_dict
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/transformers/configuration_utils.py", line 725, in _get_config_dict
resolved_config_file = cached_file(
^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/transformers/utils/hub.py", line 278, in cached_file
file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File ".venv/lib/python3.12/site-packages/transformers/utils/hub.py", line 473, in cached_files
raise OSError(f"{e}") from e
OSError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'models/invoke/tmpinstall_jlpgfd2n/Z-Image-Turbo-SDNQ-uint4-svd-r32/text_encoder'. Use `repo_type` argument if needed.
```

### What you expected to happen

Normal generation

### How to reproduce the problem

- Navigate to starter models in the UI
- Install the Z-Image Turbo model
- Select the model and Invoke

### Additional context

I do not have a huggingface token. Per a recommendation, I tried adding a dummy one to the config without change.

### Discord username

cubethethird

The report names no source file, test, traceback, or entry point. First reproduce the starter SDQN model on InvokeAI 6.14.1 with the reported Linux/AMD ROCm environment and capture the full repo_name error, then trace the model-loading path that raises it. Done means the starter model loads without that error.

Written by the indexing model from the issue text.