Repository: stable-diffusion-webui
Issue: [Bug]: HRfix tends to fail when used with inpainting models
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?

when using an inpainting model with txt2img functions, the new HRfix "latent" and "latent (nearest)" upscalers crash with a runtimeerror
```
Traceback (most recent call last):
  File "D:\storage\stable-diffusion-webui\modules\call_queue.py", line 45, in f
    res = list(func(*args, **kwargs))
  File "D:\storage\stable-diffusion-webui\modules\call_queue.py", line 28, in f
    res = func(*args, **kwargs)
  File "E:\storage\stable-diffusion-webui\modules\txt2img.py", line 49, in txt2img
    processed = process_images(p)
  File "E:\storage\stable-diffusion-webui\modules\processing.py", line 471, in process_images
    res = process_images_inner(p)
  File "E:\storage\stable-diffusion-webui\modules\processing.py", line 576, in process_images_inner
    samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
  File "E:\storage\stable-diffusion-webui\modules\processing.py", line 759, in sample
    samples = self.sampler.sample_img2img(self, samples, noise, conditioning, unconditional_conditioning, steps=self.steps, image_conditioning=image_conditioning)
  File "E:\storage\stable-diffusion-webui\modules\sd_samplers.py", line 503, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
  File "E:\storage\stable-diffusion-webui\modules\sd_samplers.py", line 439, in launch_sampling
    return func()
  File "E:\storage\stable-diffusion-webui\modules\sd_samplers.py", line 503, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
  File "D:\storage\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "E:\storage\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "D:\storage\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "E:\storage\stable-diffusion-webui\modules\sd_samplers.py", line 337, in forward
    x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]})
  File "D:\storage\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "E:\storage\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 112, in forward
    eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
  File "E:\storage\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py", line 138, in get_eps
    return self.inner_model.apply_model(*args, **kwargs)
  File "E:\storage\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 858, in apply_model
    x_recon = self.model(x_noisy, t, **cond)
  File "D:\storage\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "E:\storage\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 1331, in forward
    xc = torch.cat([x] + c_concat, dim=1)
RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 128 but got size 64 for tensor number 1 in the list.
```


### Steps to reproduce the problem

0. Choose an inpainting model (runwayML 1.5, stabilityAI 2.0, etc)
1. Go to txt2img tab
2. Enable HRfix, select latent/latent (nearest) upscaler
3. receive traceback


### What should have happened?

probably shouldn't have crashed and instead resulted in an upscaled image; inpainting models can generate new images from nothing too y'know ;) 

### Commit where the problem happens

https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/ef27a18b6b7cb1a8eebdc9b2e88d25baf2c2414d

### What platforms do you use to access UI ?

Windows, MacOS

### What browsers do you use to access the UI ?

Mozilla Firefox, Google Chrome

### Command Line Arguments

```Shell
--ckpt-dir C:\stable diffusion models --gfpgan-model GFPGANv1.4.pth --listen --autolaunch  --xformers --api --enable-insecure-extension-access --cors-allow-origins=http://127.0.0.1:3456,http://localhost:3456,https://zero01101.github.io,http://localhost:7860,http://192.168.120.20:3456
```


### Additional information, context and logs

seems the final text of the error message (different tensor counts, though) was previously mentioned in https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/4446 but not regarding inpainting models, rather specifically mentioning non-square aspect ratios