Transparency with Highres Fix Doesn't work anymore

Hello

When i'm using Highres Fix, the image doesn't get transparency. That worked few day ago with the same setting.

I got this error (i don't know if this related) :

Error running postprocess_image_after_composite: /content/drive/MyDrive/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/scripts/forge_layerdiffusion.py
Traceback (most recent call last):
File "/content/drive/MyDrive/stable-diffusion-webui-forge/modules/scripts.py", line 956, in postprocess_image_after_composite
script.postprocess_image_after_composite(p, pp, *script_args)
File "/content/drive/MyDrive/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/scripts/forge_layerdiffusion.py", line 376, in postprocess_image_after_composite
png, vis = vae_transparent_decoder.decode(latent, pixel)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/lib_layerdiffusion/models.py", line 278, in decode
y = self.estimate_augmented(pixel, latent)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/lib_layerdiffusion/models.py", line 259, in estimate_augmented
eps = self.estimate_single_pass(feed_pixel, feed_latent).clip(0, 1)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/lib_layerdiffusion/models.py", line 237, in estimate_single_pass
y = self.model.model(pixel, latent)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/content/drive/MyDrive/stable-diffusion-webui-forge/extensions/sd-forge-layerdiffuse/lib_layerdiffusion/models.py", line 159, in forward
sample_latent = self.latent_conv_in(latent)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Given groups=1, weight of size [64, 4, 1, 1], expected input[1, 3, 268, 268] to have 4 channels, but got 3 channels instead

Start in extensions/sd-forge-layerdiffuse/scripts/forge_layerdiffusion.py at postprocess_image_after_composite, then trace the decode path through lib_layerdiffusion/models.py at lines 278, 259, 237, and 159. Reproduce the issue with Highres Fix and inspect the tensor shapes reaching latent_conv_in. Done means transparency works again without the reported channel-mismatch error.