Better splitting to subfolders?

[zrebec]

Many of us using a sharing directories for checkpoints, LoRA, embeddings or controlnet, etc.... Like me. I have in checkpoints SDXL, SD15, SD21, or SDXL_Turbo. But I have set folder to main folder, like ~/AI/models/checkpoints in config.txt or in preset json files. But e.g. lcm always download sdxl_lcm_lora into ~/AI/models/lora without chance to change to to SDXL folder even I have correct set my preset like

{
  "default_model": "SDXL\\juggernautXL_v9Rundiffusion.safetensors",
  "default_refiner": "None",
  "default_refiner_switch": 0.5,
  "default_loras": [
    ["None", 1.0],
    ["None", 1.0],
    ["None", 1.0],
    ["None", 1.0],
    ["None", 1.0]
  ],
  "default_cfg_scale": 1.0,
  "default_sample_sharpness": 2.0,
  "default_sampler": "dpmpp_2m_sde_gpu",
  "default_scheduler": "karras",
  "default_performance": "Extreme Speed",
  "default_prompt": "",
  "default_prompt_negative": "",
  "default_styles": ["Fooocus V2", "Fooocus Enhance", "Fooocus Sharp"],
  "default_aspect_ratio": "1152*896",
  "checkpoint_downloads": {
    "SDXL\\juggernautXL_v9Rundiffusion.safetensors": "https://huggingface.co/RunDiffusion/Juggernaut-XL-v9/resolve/main/Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors"
  },
  "embeddings_downloads": {},
  "lora_downloads": {
    "SDXL\\sdxl_lcm_lora.safetensors": "https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors"
  },
  "previous_default_models": [
    "SDXL\\juggernautXL_version8Rundiffusion.safetensors",
    "SDXL\\juggernautXL_version7Rundiffusion.safetensors",
    "SDXL\\juggernautXL_v7Rundiffusion.safetensors",
    "SDXL\\juggernautXL_version6Rundiffusion.safetensors",
    "SDXL\\juggernautXL_v6Rundiffusion.safetensors"
  ]
}

I've tried also

....
"default_loras": [
    ["SDXL\\sdxl_lcm_lora.safetensors", 1.0],
    ["None", 1.0],
    ["None", 1.0],
    ["None", 1.0],
    ["None", 1.0]
  ],
....

And you can see the result

App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865
Enter LCM mode.
[Fooocus] Downloading LCM components ...
Downloading: "https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors" to C:\AI\models\loras\sdxl_lcm_lora.safetensors

100%|████████████████████████████| 376M/376M [00:19<00:00, 20.1MB/s]
[Parameters] Adaptive CFG = 1.0
[Parameters] Sharpness = 0.0
[Parameters] ADM Scale = 1.0 : 1.0 : 0.0
[Parameters] CFG = 1.0
[Parameters] Seed = 7584355538241165907
[Parameters] Sampler = lcm - lcm
[Parameters] Steps = 8 - 8
[Fooocus] Initializing ...
[Fooocus] Loading models ...
Refiner unloaded.

I found in the code

def downloading_sdxl_lcm_lora():
    load_file_from_url(
        url='https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors',
        model_dir=path_loras,
        file_name='sdxl_lcm_lora.safetensors'
    )
    return 'sdxl_lcm_lora.safetensors' 

But other LoRA's are OK in SDXL in subfolder.

It's probably because in other downloard are used (for canny e.g.)

return os.path.join(return os.path.join(path_controlnet, 'control-lora-canny-rank128.safetensors'))

I've try to fixed it with used return os.path.join as well like

return os.path.join(return os.path.join(path_loras, 'sdxl_lcm_lora.safetensors'))

But without effect. Even if I deleted __pycache__ directory

Is this some bug, some feature idea or my fault please? Thanks