using GFPGAN correction with SD upscaling causes a model error in Real ESRGAN

[ssube]

Enabling the face correction option while using a GFPGAN model in combination with a Stable Diffusion upscaling model will then pass the SD model to the ESRGAN background upscaler, causing an error:

  File "C:\Users\ssube\stabdiff\onnx-try-2\onnx-web\api\onnx_web\chain\base.py", line 93, in __call__
    image = stage_pipe(ctx, stage_params, params, image,
  File "C:\Users\ssube\stabdiff\onnx-try-2\onnx-web\api\onnx_web\chain\correct_gfpgan.py", line 72, in correct_gfpgan
    gfpgan = load_gfpgan(ctx, upscale, upsampler=upsampler)
  File "C:\Users\ssube\stabdiff\onnx-try-2\onnx-web\api\onnx_web\chain\correct_gfpgan.py", line 34, in load_gfpgan
    upsampler = load_resrgan(ctx, upscale)
  File "C:\Users\ssube\stabdiff\onnx-try-2\onnx-web\api\onnx_web\chain\upscale_resrgan.py", line 34, in load_resrgan
    raise Exception('Real ESRGAN model not found at %s' % model_path)
Exception: Real ESRGAN model not found at ..\models\upscaling-stable-diffusion-x4.onnx

The error is complaining that the .onnx file does not exist, but SD pipelines are stored in a directory, and wouldn't work for the ESRGAN upscaler anyway.

[ssube]

This will be part of the larger valid-combination-of-parameters effort.

[ssube]

The Real ESRGAN upsampler for GFPGAN was something that I had unintentionally enabled, so I've removed that for now in favor of the upscale model/tab that is already available. That allows mixing SD upscaling with GFPGAN, but if you set face outscale > 1, forces GFPGAN to use Lanczos interpolation instead of an SR model.