[bug]: model update failed when trying to manually set up UNKNOWN items after import #8757
Description
Is there an existing issue for this problem?
- I have searched the existing issues
Install method
Invoke's Launcher
Operating system
Windows
GPU vendor
Nvidia (CUDA)
GPU model
3060 12gb
GPU VRAM
12gb
Version number
6.10.0
Browser
FF 146.0.1
System Information
{
"version": "6.10.0",
"dependencies": {
"absl-py" : "2.3.1",
"accelerate" : "1.12.0",
"annotated-types" : "0.7.0",
"anyio" : "4.12.1",
"attrs" : "25.4.0",
"bidict" : "0.23.1",
"bitsandbytes" : "0.49.1",
"blake3" : "1.0.8",
"certifi" : "2022.12.7",
"cffi" : "2.0.0",
"charset-normalizer" : "2.1.1",
"click" : "8.3.1",
"colorama" : "0.4.6",
"coloredlogs" : "15.0.1",
"compel" : "2.1.1",
"contourpy" : "1.3.3",
"CUDA" : "12.8",
"cycler" : "0.12.1",
"Deprecated" : "1.3.1",
"diffusers" : "0.36.0",
"dnspython" : "2.8.0",
"dynamicprompts" : "0.31.0",
"einops" : "0.8.1",
"fastapi" : "0.118.3",
"fastapi-events" : "0.12.2",
"filelock" : "3.20.0",
"flatbuffers" : "25.12.19",
"fonttools" : "4.61.1",
"fsspec" : "2025.12.0",
"gguf" : "0.17.1",
"h11" : "0.16.0",
"httpcore" : "1.0.9",
"httptools" : "0.7.1",
"httpx" : "0.28.1",
"huggingface-hub" : "0.36.0",
"humanfriendly" : "10.0",
"idna" : "3.4",
"importlib_metadata" : "7.1.0",
"InvokeAI" : "6.10.0",
"jax" : "0.7.1",
"jaxlib" : "0.7.1",
"Jinja2" : "3.1.6",
"kiwisolver" : "1.4.9",
"MarkupSafe" : "2.1.5",
"matplotlib" : "3.10.8",
"mediapipe" : "0.10.14",
"ml_dtypes" : "0.5.4",
"mpmath" : "1.3.0",
"networkx" : "3.6.1",
"numpy" : "1.26.4",
"onnx" : "1.16.1",
"onnxruntime" : "1.19.2",
"opencv-contrib-python": "4.11.0.86",
"opt_einsum" : "3.4.0",
"packaging" : "24.1",
"picklescan" : "1.0.0",
"pillow" : "12.0.0",
"prompt_toolkit" : "3.0.52",
"protobuf" : "4.25.8",
"psutil" : "7.2.1",
"pycparser" : "2.23",
"pydantic" : "2.12.5",
"pydantic-settings" : "2.12.0",
"pydantic_core" : "2.41.5",
"pyparsing" : "3.3.1",
"PyPatchMatch" : "1.0.2",
"pyreadline3" : "3.5.4",
"python-dateutil" : "2.9.0.post0",
"python-dotenv" : "1.2.1",
"python-engineio" : "4.13.0",
"python-multipart" : "0.0.21",
"python-socketio" : "5.16.0",
"PyWavelets" : "1.9.0",
"PyYAML" : "6.0.3",
"regex" : "2025.11.3",
"requests" : "2.28.1",
"safetensors" : "0.7.0",
"scipy" : "1.16.3",
"semver" : "3.0.4",
"sentencepiece" : "0.2.0",
"setuptools" : "70.2.0",
"simple-websocket" : "1.1.0",
"six" : "1.17.0",
"sounddevice" : "0.5.3",
"spandrel" : "0.4.1",
"starlette" : "0.48.0",
"sympy" : "1.14.0",
"tokenizers" : "0.22.2",
"torch" : "2.7.1+cu128",
"torchsde" : "0.2.6",
"torchvision" : "0.22.1+cu128",
"tqdm" : "4.66.5",
"trampoline" : "0.1.2",
"transformers" : "4.57.3",
"typing-inspection" : "0.4.2",
"typing_extensions" : "4.15.0",
"urllib3" : "1.26.13",
"uvicorn" : "0.40.0",
"watchfiles" : "1.1.1",
"wcwidth" : "0.2.14",
"websockets" : "16.0",
"wrapt" : "2.0.1",
"wsproto" : "1.3.2",
"zipp" : "3.19.2"
},
"config": {
"schema_version": "4.0.2",
"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,
"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": "outputs",
"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": 3,
"enable_partial_loading": false,
"keep_ram_copy_of_weights": true,
"ram": null,
"vram": null,
"lazy_offload": true,
"pytorch_cuda_alloc_conf": null,
"device": "auto",
"precision": "auto",
"sequential_guidance": false,
"attention_type": "auto",
"attention_slice_size": "auto",
"force_tiled_decode": false,
"pil_compress_level": 1,
"max_queue_size": 10000,
"clear_queue_on_startup": false,
"allow_nodes": null,
"deny_nodes": null,
"node_cache_size": 512,
"hashing_algorithm": "blake3_single",
"remote_api_tokens": null,
"scan_models_on_startup": false,
"unsafe_disable_picklescan": false,
"allow_unknown_models": true
},
"set_config_fields": ["legacy_models_yaml_path"]
}
What happened
Importing manually downloaded models and subsystems (VAE, T5, etc.) sometimes fails to identify automatically and end up as "Unknown" in the importer. This leaves them unusable. Trying to manually set them up results in model update failed for all attempts to provide manual identification.
What you expected to happen
Expected to be able to edit the importation entry and set Model Type, Base Model (and possibly Model Format and Variant if needed) in order to identify the file and enable use in Invoke. Instead model update failed and all fields reset no matter what. Invoke sees unwilling to allow any change to anything that was not identified initially by the importer.
Things that were identified can be changed even if you are setting them to the wrong thing in some cases (ie identifying a main as a vae) but not in others (ie setting a control net to a main), and the same error is given in the second case, indicating that the initial identify failure may be blocking the later manual identification.
How to reproduce the problem
Import a file that fails to be automatically identified. Try to manually identify it.
Additional context
Happens in standalone and stability matrix (same files in all tested cases).
Some of this may be incompatible stuff (control nets), but it effects basic items manually acquired like clip_l.safetensors that also exist in the starter packs and are required to make models that do themselves import work (some models do not like the starter pack versions but do like these manual versions downloaded alongside them as determined with crosstest in Comfy).
Discord username
Void2258