[bug]: VAE/Text_Encoder Source (required for GGUF) missing for Qwen2511 and 2512 models

[NiceDragon8066]

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

RTX 5090

GPU VRAM

24GB

Version number

6.13.0rc1

Browser

Edge

System Information

{
"version": "6.13.0.rc1",
"dependencies": {
"absl-py" : "2.4.0",
"accelerate" : "1.13.0",
"annotated-types" : "0.7.0",
"anyio" : "4.13.0",
"attrs" : "26.1.0",
"bcrypt" : "3.2.2",
"bidict" : "0.23.1",
"bitsandbytes" : "0.49.2",
"blake3" : "1.0.8",
"certifi" : "2022.12.7",
"cffi" : "2.0.0",
"charset-normalizer" : "2.1.1",
"click" : "8.3.3",
"colorama" : "0.4.6",
"coloredlogs" : "15.0.1",
"compel" : "2.1.1",
"contourpy" : "1.3.3",
"cryptography" : "47.0.0",
"CUDA" : "12.8",
"cycler" : "0.12.1",
"Deprecated" : "1.3.1",
"diffusers" : "0.37.0",
"dnspython" : "2.8.0",
"dynamicprompts" : "0.31.0",
"ecdsa" : "0.19.2",
"einops" : "0.8.2",
"email-validator" : "2.3.0",
"fastapi" : "0.118.3",
"fastapi-events" : "0.12.2",
"filelock" : "3.25.2",
"flatbuffers" : "25.12.19",
"fonttools" : "4.62.1",
"fsspec" : "2026.2.0",
"gguf" : "0.18.0",
"h11" : "0.16.0",
"httpcore" : "1.0.9",
"httptools" : "0.7.1",
"httpx" : "0.28.1",
"huggingface_hub" : "0.36.2",
"humanfriendly" : "10.0",
"idna" : "3.4",
"importlib_metadata" : "7.1.0",
"InvokeAI" : "6.13.0rc1",
"jax" : "0.7.1",
"jaxlib" : "0.7.1",
"Jinja2" : "3.1.6",
"kiwisolver" : "1.5.0",
"MarkupSafe" : "3.0.3",
"matplotlib" : "3.10.9",
"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",
"passlib" : "1.7.4",
"picklescan" : "1.0.4",
"pillow" : "12.1.1",
"prompt_toolkit" : "3.0.52",
"protobuf" : "4.25.9",
"psutil" : "7.2.2",
"pyasn1" : "0.6.3",
"pycparser" : "3.0",
"pydantic" : "2.13.3",
"pydantic-settings" : "2.14.0",
"pydantic_core" : "2.46.3",
"pyparsing" : "3.3.2",
"PyPatchMatch" : "1.0.2",
"pyreadline3" : "3.5.4",
"python-dateutil" : "2.9.0.post0",
"python-dotenv" : "1.2.2",
"python-engineio" : "4.13.1",
"python-jose" : "3.5.0",
"python-multipart" : "0.0.27",
"python-socketio" : "5.16.1",
"PyWavelets" : "1.9.0",
"PyYAML" : "6.0.3",
"regex" : "2026.4.4",
"requests" : "2.28.1",
"rsa" : "4.9.1",
"safetensors" : "0.7.0",
"scipy" : "1.17.1",
"semver" : "3.0.4",
"sentencepiece" : "0.2.0",
"setuptools" : "70.2.0",
"simple-websocket" : "1.1.0",
"six" : "1.17.0",
"sounddevice" : "0.5.5",
"spandrel" : "0.4.2",
"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" : "4.57.6",
"typing-inspection" : "0.4.2",
"typing_extensions" : "4.15.0",
"urllib3" : "1.26.13",
"uvicorn" : "0.46.0",
"watchfiles" : "1.1.1",
"wcwidth" : "0.6.0",
"websockets" : "16.0",
"wrapt" : "2.1.2",
"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": true,
"keep_ram_copy_of_weights": true,
"ram": null,
"vram": null,
"lazy_offload": true,
"pytorch_cuda_alloc_conf": "backend:cudaMallocAsync",
"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,
"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": "REDACTED"} ],
"scan_models_on_startup": false,
"unsafe_disable_picklescan": false,
"allow_unknown_models": true,
"multiuser": false,
"strict_password_checking": false,
"external_gemini_api_key": null,
"external_openai_api_key": null,
"external_gemini_base_url": null,
"external_openai_base_url": null
},
"set_config_fields": [
"remote_api_tokens", "legacy_models_yaml_path", "pytorch_cuda_alloc_conf", "enable_partial_loading"
]
}

What happened

Downloaded Qwen Edit 2511, Qwen Image 2512 Q4KM GGUF, and Anima/QwenImage VAE from Starter Models list in Model Manager. The models fail to initialize as VAE/Text_Encoder Source (required for GGUF) not available. I even locally installed (Install In-Place) QwenImage text encoder and Qwen2.5-VL encoders from my local model library, but still nothing makes those 2511 and 2512 Q4KM GGUF downloaded models available for generation! I even locally installed Qwen VAE (Wan 2.1 VAE) in the model manager from my local models library. Still nothing worked. This 6.13.0rc1 is a horribly buggy or broken release. You should recall it and fix it. Incidentally the Text Prompt and Image Prompt Enhancement buttons are also not showing up even through LLaVA and Qwen2.5-1.5B-Instruct are already installed through the Invoke Model Manager. What a colossal waste of time this 6.13.0rc1 release is! I am reverting to Invoke v6.12.0 until you have a stable well tested release of v6.13. Regards.

What you expected to happen

I expected things to work as stated in the release notes.

How to reproduce the problem

idk. Figure it out.

Additional context

No response

Discord username

No response

[Pfannkuchensack]

#9108

[Pfannkuchensack]

#9097

[NiceDragon8066]

The information provided is wrong!
#9108 - "Quickest verification (recommended):
Install one of the GGUF starter models (e.g. Qwen Image Edit 2511 (Q4_K_M)) from the starter list. The VAE and fp8 encoder should be auto-installed as dependencies, and the model should generate without any further configuration."

• Installing any of the Qwen Q4KM models does not "auto-install" the dependencies. I thought I was clear in my bug report, perhaps not. I am going to try to pull in the diffusers VAE and the single safetensors Qwen VL encoder now as mentioned in the issue Feat:(model) qwen image vae checkpoint #9108, and see if that works (I doubt it, since I already tried installing the single models for VAE and VL text encoder from my local model library being used with ComfyUI).

[NiceDragon8066]

Nothing is working. There is nothing in the starter model list for the VAE and Qwen2.5-VL-encoder. Please add the suitable files. The Comfy.org single file Qwen VL encoder mentioned in #9108 is not recognized by the Model Manager as of valid architecture and the VAE (diffusers) also fails to download/install. idk what to else to do, I tried everything.

[Pfannkuchensack]

That are prs that are not merged right now. But they should fix all the problem you have if they in.

[lstein]

This is why we do release candidates. To pick up bugs like these.

[github-actions]

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[github-actions]

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