Repository: stable-diffusion-webui
Issue: [Bug]: V 1.3.2 - image2image pre-set resolution is no longer saved once re-generating another pic in text2image and sending it over again to image2image 
Labels: bug-report

### Is there an existing issue for this?

- [X] I have searched the existing issues and checked the recent builds/commits

### What happened?

Hi dear Devs
 
Since latest release V1.3.2 

image2image pre-set resolution is no longer saved once re-generating another pic in text2image and sending it over again to image2image

You always have to re-configure the sliders for resolution now if you send new files over from text2image to image2image :/

In previous versions the set resolution in image2image has been kept "as default" to 1024x1536 ( as it has been set before ) if i created a new pic in text2image in 512x768 and sent that over to image2image.

This is very uncomfort now that you always have to re-arrange the resolution sliders each time you create a picture and 
send that over to image2image. 


### Steps to reproduce the problem

1. In text2 image create a pic 512x768 
2. Send over to image2image 
3. Set 1024x1536 as resolution without highres fix, no denoising or other changes
4. Create pic in image2image 
5. Go back to text2image
6.Create another pic in 512x768 res ( default as previous set )
7.Send over to image2image 
8 Check resolution settings in image2image

### What should have happened?

The previous set image resolution in image2image should be kept as default 
no matter how many times one generates a new picture in text2image and is sending this over to image2image.
This set resolution should stay until one may change the text2image resolution again.
 

### Commit where the problem happens

image2image

### 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 ?

Mozilla Firefox

### Command Line Arguments

```Shell
@echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=--autolaunch --theme=dark --force-enable-xformers --xformers 

call webui.bat
```


### List of extensions

adetailer
controlnet
dynamic threshholding
lycoris 

### Console logs

```Shell
venv "n:\stable-diffusion-webui_1.3.2\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: v1.3.2
Installing requirements


Launching Web UI with arguments: --autolaunch --theme=dark --force-enable-xformers --xformers
n:\stable-diffusion-webui_1.3.2\venv\lib\site-packages\pkg_resources\__init__.py:123: PkgResourcesDeprecationWarning: llow is an invalid version and will not be supported in a future release
  warnings.warn(
[-] ADetailer initialized. version: 23.6.2, num models: 12
[AddNet] Updating model hashes...
0it [00:00, ?it/s]
[AddNet] Updating model hashes...
0it [00:00, ?it/s]
2023-06-10 18:29:03,942 - ControlNet - INFO - ControlNet v1.1.223
ControlNet preprocessor location: N:\stable-diffusion-webui_1.3.2\extensions\sd-webui-controlnet\annotator\downloads
2023-06-10 18:29:04,006 - ControlNet - INFO - ControlNet v1.1.223
Loading weights [ad1a10552b] from N:\stable-diffusion-webui_1.3.2\models\Stable-diffusion\rundiffusionFX_v10.safetensors
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Creating model from config: N:\stable-diffusion-webui_1.3.2\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Startup time: 8.8s (import torch: 1.6s, import gradio: 1.0s, import ldm: 0.5s, other imports: 0.8s, list SD models: 0.2s, load scripts: 3.4s, create ui: 0.5s, gradio launch: 0.7s).
DiffusionWrapper has 859.52 M params.
Loading VAE weights specified in settings: N:\stable-diffusion-webui_1.3.2\models\VAE\vae-ft-mse-840000-ema-pruned.safetensors
Applying optimization: xformers... done.
Textual inversion embeddings loaded(2): bad-hands-5, easynegative
Model loaded in 5.3s (load weights from disk: 0.9s, create model: 0.7s, apply weights to model: 1.3s, apply half(): 0.7s, load VAE: 0.1s, move model to device: 0.9s, load textual inversion embeddings: 0.8s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:03<00:00,  5.76it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00,  8.71it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 16/16 [00:10<00:00,  1.56it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 16/16 [00:10<00:00,  1.46it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00,  8.98it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00,  8.13it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00,  9.24it/s]
```


### Additional information

_No response_