[bug]: Guidance (cfg) slider is completely missing from the UI for Klein 4B/9B models in InvokeAI v6.13.0

[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 Laptop GPU

GPU VRAM

24GB

Version number

6.13.0

Browser

Edge

System Information

{
"version": "6.13.0",
"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" : "8.4.1",
"colorama" : "0.4.6",
"coloredlogs" : "15.0.1",
"compel" : "2.1.1",
"contourpy" : "1.3.3",
"cryptography" : "48.0.0",
"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" : "3.29.0",
"flatbuffers" : "25.12.19",
"fonttools" : "4.63.0",
"fsspec" : "2026.4.0",
"gguf" : "0.19.0",
"h11" : "0.16.0",
"httpcore" : "1.0.9",
"httptools" : "0.8.0",
"httpx" : "0.28.1",
"huggingface_hub" : "0.36.2",
"humanfriendly" : "10.0",
"idna" : "3.4",
"importlib_metadata" : "7.1.0",
"InvokeAI" : "6.13.0",
"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" : "12.2.0",
"prompt_toolkit" : "3.0.52",
"protobuf" : "4.25.9",
"psutil" : "7.2.2",
"pyasn1" : "0.6.3",
"pycparser" : "3.0",
"pydantic" : "2.13.4",
"pydantic-settings" : "2.14.1",
"pydantic_core" : "2.46.4",
"pyparsing" : "3.3.2",
"PyPatchMatch" : "1.0.2",
"pyreadline3" : "3.5.6",
"python-dateutil" : "2.9.0.post0",
"python-dotenv" : "1.2.2",
"python-engineio" : "4.13.2",
"python-jose" : "3.5.0",
"python-multipart" : "0.0.29",
"python-socketio" : "5.16.2",
"PyWavelets" : "1.9.0",
"PyYAML" : "6.0.3",
"regex" : "2026.5.9",
"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" : "0.48.0",
"watchfiles" : "1.2.0",
"wcwidth" : "0.7.0",
"websockets" : "16.0",
"wrapt" : "2.2.1",
"wsproto" : "1.3.2",
"zipp" : "3.19.2"
},
"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,
"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",
"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": 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_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": ["legacy_models_yaml_path", "pytorch_cuda_alloc_conf", "remote_api_tokens"]
}

What happened

I installed the newly released stable version of InvokeAI 6.13.0 and noticed that the Guidance (cfg) setting slider is completely missing for the Flux.2 Klein 4B and 9B model families for both the distilled and the base versions. Normally the distilled versions of Klein 4B and 9B are used with cfg value of 1, and hence it is not a big issue for the distilled versions of those models (albeit, I have had a few instances in the past when I used a cfg value of 1.1-1.5 for the distilled models to make use of a particular LoRA); but, for the Base versions of Klein 4B and 9B, the cfg value setting is almost mandatory including having the negative prompt box available. So, this is clearly a bug which was not there in the v6.12.0, the previous version had the cfg slider available for the Klein models (both distilled and base). It's truly a shame that the app was broken to include support for Qwen Image and Edit (which are so hardware demand intensive models that even with my RTX 5090 24GB VRAM and 64GB RAM computer, I often hesitate to use those models just for some marginal text rendering benefit), and Anima (only an Anime fan would love that stuff, mostly useless) and various externally hosted models (why bother, anyone can sign up at the external websites). I know just like my previous bug reports, this will also get ignored by the development team (BTW, LoRA support in the model manager still sucks despite my bug report before, I have given up on that), but I still use this app from time to time just because I love the UI so much (Invoke has far superior UI compared to Comfy, Wan2GP, Forge Neo).

What you expected to happen

I was expecting the Guidance (cfg) slider to be available.

How to reproduce the problem

idk

Additional context

No response

Discord username

No response

[Pfannkuchensack]

From the 8 Issues you made only 2 got no answer. You did not answer the one where i ask for the lora to test it. And just because you personally don't need certain features doesn't mean they're useless. We removed the slider because it didn't make any real difference in our tests.

[NiceDragon8066]

It would be moot to argue what got answered and what got resolved. As for the LoRA sample you asked - when I saw your response, the issue was already marked closed (probably by Github) and there was no way to upload a sample nor provide a response to your message in that issue thread. Relative to the matter of the Guidance (cfg) slider for Klein model, are you saying the cfg makes no difference in your tests even for the Klein Base models? Please clarify. BTW, I did say in my message that those other models (Anima or externally hosted) were useless to me, I did not say they were universally useless. In any case, adding new features or models should not break existing features or models...ideally.

[NiceDragon8066]

On the subject of LoRA compatibility - here is one Flux.2 Klein 9B LoRA which works fine in Wan2GP and ComfyUI, but the InvokeAI model manager fails to recognize the model family of this LoRA and marks it as "Unidentified"; this issue is in addition to the Prodigy optimizer based LoRAs runtime error I mentioned in my previous bug report which was closed before I could upload a sample of such a LoRA for you to test (Prodigy is an optimizer similar to the Adamw8bit, the Prodigy LoRAs are much smaller in size). Here is a link to the LoRA the model manager fails to identify (this issues page does not allow uploading or pasting of safetensors file).

https://civitai.red/models/2406218/klein-9b-turn2real