[bug]: repo_name error when using starter SDQN model #9580

Is there an existing issue for this problem?

• 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