[Bug]: Fix TypeError: 'NoneType' object is not iterable when generating img2img with controlllite

Nobody has claimed this yet.

### Checklist

- [ ] The issue exists after disabling all extensions
- [ ] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
- [X] The issue exists in the current version of the webui
- [ ] The issue has not been reported before recently
- [ ] The issue has been reported before but has not been fixed yet

### What happened?

When dealing with intermediate image sizes such as upscaling 1248×1248 by 1.5 times, Controlllite throws a NoneType object error. This issue occurs around line 234 in torch.cat within extensions-builtin/sd_forge_controlllite/lib_controllllite/lib_controllllite.py due to a mismatch in tensor sizes between cx and x.
I resolved this by using padding as a simple fix. While padding may affect the performance of the generated images, it is less problematic than having Controlllite not function at all. Here is the code:
```
if cx.shape[1] < x.shape[1]:
cx_pad = torch.zeros(cx.shape[0], x.shape[1]-cx.shape[1], cx.shape[2], dtype=cx.dtype, device=cx.device)
cx = torch.cat([cx, cx_pad], dim=1)
```

### Steps to reproduce the problem

1.5x upscaling of a 1248x1248 image using the controllllite model for img2img.

### What should have happened?

controllllite should have worked.

### What browsers do you use to access the UI ?

_No response_

### Sysinfo

[sysinfo-2024-05-29-09-21.json](https://github.com/lllyasviel/stable-diffusion-webui-forge/files/15482072/sysinfo-2024-05-29-09-21.json)

### Console logs

```Shell
https://pastebin.com/gxT0wyCL
```

### Additional information

invoking it from [EasySdxlWebUi](https://github.com/Zuntan03/EasySdxlWebUi)

Start in extensions-builtin/sd_forge_controlllite/lib_controllllite/lib_controllllite.py around line 234, where torch.cat is reported to fail. Reproduce with img2img using the controllllite model and 1.5x upscaling of a 1248x1248 image, then compare the cx and x tensor shapes. Done means controllllite completes generation for this case without the reported error.

Written by the indexing model from the issue text.