[Bug]: Upscaling in extras no longer keeps prompt information

[DanielTClark]

Is there an existing issue for this?

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

What happened?

In previous versions, after upscaling in extras, you could put an image in PNG Info and it would display the prompt in "parameters". For images generated in this version the "parameters" section just displays info about upscaling.

Steps to reproduce the problem

1. Generate an image
2. Send to extras and upscale image
3. Download image by dragging image to Windows desktop or folder
4. Reupload image in PNG Info tab

What should have happened?

The prompt should have been displayed under "parameters"

Commit where the problem happens

9931e86

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 ?

Microsoft Edge

Command Line Arguments

--listen --xformers --no-half-vae --medvram

List of extensions

Console logs

C:\stable-diffusion-webui-ux>webui.bat --listen --xformers --no-half-vae --medvram
venv "C:\stable-diffusion-webui-ux\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Version: <none>
Commit hash: 9931e861dfb128735c4a928a7beb5b5c0af30593
Installing requirements

Launching Web UI with arguments: --listen --xformers --no-half-vae --medvram
2023-06-09 13:07:00,869 - ControlNet - INFO - ControlNet v1.1.217
ControlNet preprocessor location: C:\stable-diffusion-webui-ux\extensions\sd-webui-controlnet\annotator\downloads
2023-06-09 13:07:01,220 - ControlNet - INFO - ControlNet v1.1.217
Loading weights [77b7dc4ef0] from C:\stable-diffusion-webui-ux\models\Stable-diffusion\meinamix_meinaV10.safetensors
Creating model from config: C:\stable-diffusion-webui-ux\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying optimization: xformers... done.
Textual inversion embeddings loaded(9): Asian-Less-Neg, bad-picture-chill-32v, BadDream, CyberRealistic_Negative, EasyNegative, EasyNegativeV2, FastNegativeEmbedding, negative_hand, UnrealisticDream
Model loaded in 7.5s (load weights from disk: 0.6s, create model: 0.5s, apply weights to model: 4.8s, apply half(): 1.5s).
Running on local URL:  http://0.0.0.0:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 26.2s (import torch: 3.9s, import gradio: 3.0s, import ldm: 1.2s, other imports: 2.8s, setup codeformer: 0.1s, load scripts: 2.1s, create ui: 8.3s, gradio launch: 4.5s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:11<00:00,  1.80it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:15<00:00,  1.26it/s]
Total prTile 1/1500%|██████████████████████████████████████████████████████████████████| 20/20 [00:15<00:00,  4.01it/s]
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Additional information

My earlier images may not have been generated using xformers.

[rushuna86]

this issue is fixed in the main automatic1111 just needs this fork to pull that release, if you can't wait you can download the file modules/images.py from automatic1111 and replace it in this fork. Commit removed few lines of code that was over writing generation info.

[anapnoe]

updated