[Bug]: Wrong Images Selected in text2img

[Neverdusk]

Is there an existing issue for this?

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

What happened?

When using text2img and generating multiple images at once (either from using an XYZ plot or having a batch size / count > 1), the image shown to be selected is not actually selected.

For example, if I have five images and select image 3, then press "Info", "Save" or "Send to Inpaint", image 4 is selected instead. The same goes for every other image, where the buttons respond to the next image (e.g.: 2 instead of 1, or 3 instead of 2) instead of the selected image.

Steps to reproduce the problem

1. Go to text2img and generate with batch count > 1
2. Press save on image 1
3. Image 2 is saved

What should have happened?

The selected images should've been saved instead of the next image. Same for info, send to inpaint, and other buttons.

Sysinfo

sysinfo-2023-11-02-06-10.txt

What browsers do you use to access the UI ?

Google Chrome

Console logs

venv "C:\Users\silve\Documents\AI Art\__SDUX\venv\Scripts\Python.exe"
Python 3.10.8 (tags/v3.10.8:aaaf517, Oct 11 2022, 16:50:30) [MSC v.1933 64 bit (AMD64)]
Version: v1.6.0-299-g8ee48cf9
Commit hash: 8ee48cf9bf1532ea202cacb0930386ace4e60e3d
Launching Web UI with arguments: --api --medvram-sdxl --xformers --no-half-vae --autolaunch --opt-split-attention
Civitai Helper: Get Custom Model Folder
[-] ADetailer initialized. version: 23.11.0, num models: 14
Using sqlite file: C:\Users\silve\Documents\AI Art\__SDUX\extensions\sd-webui-agent-scheduler\task_scheduler.sqlite3
2023-11-02 03:23:21,465 - ControlNet - INFO - ControlNet v1.1.411
ControlNet preprocessor location: C:\Users\silve\Documents\AI Art\__SDUX\extensions\sd-webui-controlnet\annotator\downloads
2023-11-02 03:23:21,619 - ControlNet - INFO - ControlNet v1.1.411
Loading weights [4574b00913] from C:\Users\silve\Documents\AI Art\__SDUX\models\Stable-diffusion\__Anime\_Custom\Roxanne02.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: C:\Users\silve\Documents\AI Art\__SDUX\configs\v1-inference.yaml
Startup time: 16.5s (prepare environment: 3.4s, import torch: 3.7s, import gradio: 1.3s, setup paths: 1.0s, initialize shared: 0.3s, other imports: 0.8s, setup codeformer: 0.2s, list SD models: 0.2s, load scripts: 2.9s, create ui: 1.4s, gradio launch: 0.8s, app_started_callback: 0.3s).
Loading VAE weights specified in settings: C:\Users\silve\Documents\AI Art\__SDUX\models\VAE\Blessed2.vae.safetensors
Applying attention optimization: xformers... done.
Model loaded in 12.3s (load weights from disk: 1.9s, create model: 0.6s, apply weights to model: 9.0s, load VAE: 0.4s, load textual inversion embeddings: 0.1s, calculate empty prompt: 0.1s).
purged
NegPiP enable, Positive:None,Negative:None
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  4.51it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  4.65it/s]
INFO:sd_dynamic_prompts.dynamic_prompting:Prompt matrix will create 2 images in a total of 2 batches.<00:00,  5.45it/s]
purged
NegPiP enable, Positive:None,Negative:None
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:03<00:00,  5.17it/s]
purgedprogress:  50%|█████████████████████████████████                                 | 20/40 [00:03<00:03,  5.29it/s]
NegPiP enable, Positive:None,Negative:None
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:03<00:00,  5.59it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 40/40 [00:08<00:00,  4.79it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 40/40 [00:08<00:00,  5.92it/s]

Additional information

No response

[anapnoe]

haven't test it for XYZ plot only for batch size / count > 1) but it should work fine for both