[Bug]: Directory for temporary images does not work

[reicou]

Is there an existing issue for this?

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

What happened?

I have created a custom folder for the temporary images and it still saves the images in AppdataLocalTemp.

It is strange, because in previous versions, when I changed the default tmp folder, SD saved the tmp images in that folder and not in the default path.

Steps to reproduce the problem

1. Go to setting - saving images/grids - Directory for temporary images; leave empty by default and add custom folder
2. Press ....apply settings
3. ...generate any image
4. SD still saves the images in AppdataLocalTemp

What should have happened?

Once the default tmp folder has been changed, SD should use it.

Commit where the problem happens

version: v1.3.1  •  python: 3.10.6  •  torch: 2.0.1+cu118  •  xformers: N/A  •  gradio: 3.31.0  •  checkpoint: fd3bfb1ea7

What Python version are you running on ?

Python 3.10.x

What platforms do you use to access the UI ?

Windows

What device are you running WebUI on?

Nvidia GPUs (RTX 20 above)

What browsers do you use to access the UI ?

Google Chrome

Command Line Arguments

No

List of extensions

Stable-Diffusion-Webui-Civitai-Helper adetailer sd-webui-controlnet

Console logs

venv "D:\webui\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: v1.3.1
Commit hash: b6af0a3809ea869fb180633f9affcae4b199ffcf
Installing requirements

Launching Web UI with arguments:
No module 'xformers'. Proceeding without it.
Civitai Helper: Get Custom Model Folder
Civitai Helper: Load setting from: D:\webui\extensions\Stable-Diffusion-Webui-Civitai-Helper\setting.json
Civitai Helper: No setting file, use default
[-] ADetailer initialized. version: 23.6.1.post0, num models: 8
ControlNet v1.1.210
ControlNet v1.1.210
Loading weights [fd3bfb1ea7] from D:\webui\models\Stable-diffusion\hrl_v40.safetensors
Create LRU cache (max_size=16) for preprocessor results.
Create LRU cache (max_size=16) for preprocessor results.
Creating model from config: D:\webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Create LRU cache (max_size=16) for preprocessor results.
Startup time: 5.4s (import torch: 1.1s, import gradio: 0.8s, import ldm: 0.4s, other imports: 0.6s, load scripts: 1.9s, create ui: 0.4s, gradio launch: 0.2s).
DiffusionWrapper has 859.52 M params.
Loading VAE weights specified in settings: D:\webui\models\VAE\vae-ft-mse-840000-ema-pruned.ckpt
Applying optimization: Doggettx... done.
Textual inversion embeddings loaded(0):
Model loaded in 3.1s (load weights from disk: 0.6s, create model: 0.4s, apply weights to model: 0.5s, apply half(): 0.4s, load VAE: 0.2s, move model to device: 0.4s, load textual inversion embeddings: 0.7s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00,  7.13it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 13.95it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 11.22it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 13.30it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 12.24it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 14.13it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 14.47it/s]

Additional information

No response

[gshawn3]

See #10762 for discussion around this and a potential workaround.

[reicou]

See #10762 for discussion around this and a potential workaround.

This solution worked very well, thank you very much for showing it :)