[Bug]: File Not Found Error when model's name contains space

[ananosleep]

Is there an existing issue for this?

• I have searched the existing issues and checked the recent builds/commits

What happened?

When I tried to load a model whose name contains a space, the openVINO script threw out FileNotFoundError: [WinError 2] .

Steps to reproduce the problem

launch webUI, load a model named "0.8(8000-fix) + 0.2(4500).safetensors", enable the openVINO script and click generate.

What should have happened?

work properly

Sysinfo

sysinfo-2023-11-08-08-10.txt

What browsers do you use to access the UI ?

Microsoft Edge

Console logs

venv "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\venv\Scripts\Python.exe"
Launching Web UI with arguments: --skip-torch-cuda-test --precision full --no-half --skip-prepare-environment
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
Loading weights [39d6af08b2] from D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\models\Stable-diffusion\Qtea\qteamixQ_omegaFp16.safetensors
Creating model from config: D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\configs\v1-inference.yaml
fatal: No names found, cannot describe anything.
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 68.4s (import torch: 29.2s, import gradio: 8.3s, setup paths: 8.3s, initialize shared: 0.8s, other imports: 6.6s, setup codeformer: 0.7s, setup gfpgan: 0.2s, list SD models: 0.4s, load scripts: 9.4s, initialize extra networks: 0.1s, create ui: 3.8s, gradio launch: 0.2s).
Applying attention optimization: InvokeAI... done.
Model loaded in 20.1s (load weights from disk: 2.3s, create model: 2.0s, apply weights to model: 13.0s, apply float(): 1.4s, load textual inversion embeddings: 0.6s, calculate empty prompt: 0.7s).
Reusing loaded model Qtea\qteamixQ_omegaFp16.safetensors [39d6af08b2] to load 0.8(8000-fix) + 0.2(4500).safetensors
Calculating sha256 for D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\models\Stable-diffusion\0.8(8000-fix) + 0.2(4500).safetensors: 20262b83eaf5a6a1916c80f9a1c02788c4eccac3bf207b8f218abe4ea749b8e8
Loading weights [20262b83ea] from D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\models\Stable-diffusion\0.8(8000-fix) + 0.2(4500).safetensors
Applying attention optimization: InvokeAI... done.
Weights loaded in 30.0s (calculate hash: 27.3s, load weights from disk: 0.9s, apply weights to model: 1.6s).
{}
*** Error completing request
*** Arguments: ('task(gff4mo4uhirtrkj)', 'masterpiece, best quality, (loli:1.2), solo, vampire, silver hair, red eyes, flat chest, gothic lolita, bat hair ornament, light smile, standing, white thighhighs', 'pointy ears, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry', [], 20, 'Euler', 4, 1, 7, 768, 432, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], <gradio.routes.Request object at 0x0000020DB6440400>, 1, False, '', 0.8, -1, False, -1, 0, 0, 0, 'None', 'None', 'GPU.0', True, 'Euler', True, False, 'None', 0.8, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\modules\txt2img.py", line 52, in txt2img
        processed = modules.scripts.scripts_txt2img.run(p, *args)
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\modules\scripts.py", line 601, in run
        processed = script.run(p, *script_args)
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\scripts\openvino_accelerate.py", line 1213, in run
        processed = process_images_openvino(p, model_config, vae_ckpt, p.sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\scripts\openvino_accelerate.py", line 880, in process_images_openvino
        shared.sd_diffusers_model = get_diffusers_sd_model(model_config, vae_ckpt, sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\scripts\openvino_accelerate.py", line 531, in get_diffusers_sd_model
        checkpoint_info = CheckpointInfo(checkpoint_path)
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\modules\sd_models.py", line 83, in __init__
        self.sha256 = hashes.sha256_from_cache(self.filename, f"checkpoint/{name}")
      File "D:\AI\sd-webui\openVINO\stable-diffusion-webui-ov-dev\modules\hashes.py", line 24, in sha256_from_cache
        ondisk_mtime = os.path.getmtime(filename)
      File "D:\softwares\Python\Python310\lib\genericpath.py", line 55, in getmtime
        return os.stat(filename).st_mtime
    FileNotFoundError: [WinError 2] 系统找不到指定的文件。: 'D:\\AI\\sd-webui\\openVINO\\stable-diffusion-webui-ov-dev\\models\\Stable-diffusion\\0.8(8000-fix)'

Additional information

No response