Fix for Apple Silicon

Nobody has claimed this yet.

the following fix is required for apple silicon, note the additional .float(), else the forge script will give this error

```
File "/Applications/Data/Packages/Stable Diffusion WebUI Forge/extensions/sd-forge-layerdiffuse/lib_layerdiffusion/models.py", line 277, in estimate_augmented
median = torch.median(result.cpu(), dim=0).values
RuntimeError: "median_out" not implemented for 'Half'
```

in lib_layerdiffusion/models.py

```python
if self.load_device == torch.device("mps"):
'''
In case that apple silicon devices would crash when calling torch.median() on tensors
in gpu vram with dimensions higher than 4, we move it to cpu, call torch.median()
and then move the result back to gpu.
'''
result_cpu = result.cpu().float() # Convert to float32 on CPU
median = torch.median(result_cpu, dim=0).values
median = median.to(device=self.load_device, dtype=self.dtype)
else:
median = torch.median(result, dim=0).values
```

Open lib_layerdiffusion/models.py and inspect estimate_augmented around the torch.median call. Reproduce the reported Apple Silicon failure if possible, then verify the median operation works for the affected tensor type and that the result retains the expected device and dtype.

Written by the indexing model from the issue text.