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[bug]: Lora collection not firing during generation on workflow #9151

@cochbild

Description

@cochbild

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 5080

GPU VRAM

16

Version number

v6.12.0

Browser

Firefox 150.0.2

System Information

{
"version": "6.12.0",
"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" : "8.3.2",
"colorama" : "0.4.6",
"coloredlogs" : "15.0.1",
"compel" : "2.1.1",
"contourpy" : "1.3.3",
"cryptography" : "46.0.6",
"CUDA" : "12.8",
"cycler" : "0.12.1",
"Deprecated" : "1.3.1",
"diffusers" : "0.36.0",
"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" : "6.12.0",
"jax" : "0.7.1",
"jaxlib" : "0.7.1",
"Jinja2" : "3.1.6",
"kiwisolver" : "1.5.0",
"MarkupSafe" : "3.0.3",
"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",
"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" : "2.12.5",
"pydantic-settings" : "2.13.1",
"pydantic_core" : "2.41.5",
"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" : "0.0.24",
"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" : "0.44.0",
"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": "0.0.0.0",
"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,
"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,
"multiuser": false,
"strict_password_checking": false
},
"set_config_fields": ["enable_partial_loading", "pytorch_cuda_alloc_conf", "host", "legacy_models_yaml_path"]
}

What happened

Here are exact steps to reproduce this. I've tried with multiple model types(flux and z image turbo):
Create an image using normal invoke panels and include a lora with parameters. Then generate an image. Go to this image and of course recall all parameters and open the workflow for this image. Save the workflow as is. Then using this workflow generate an image. On the newly generated image, recall all parameters and the lora was not triggered.

What you expected to happen

I expected the lora to trigger from the workflow created.

How to reproduce the problem

Here are exact steps to reproduce this. I've tried with multiple model types(flux and z image turbo):
Create an image using normal invoke panels and include a lora with parameters. Then generate an image. Go to this image and of course recall all parameters and open the workflow for this image. Save the workflow as is. Then using this workflow generate an image. On the newly generated image, recall all parameters and the lora was not triggered.

Additional context

Only tested ZIT and Flux.

Discord username

blitz068

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