The code snippet print(interrogation_function(img), file=open(os.path.join(ii_output_dir, f"{left}.txt"), 'a')) raises a UnicodeEncodeError with the message "'charmap' codec can't encode character '\u016b' in position 129". This error occurs because the default encoding used by the open() function cannot handle certain Unicode characters.

To fix this issue, the encoding parameter needs to be explicitly specified when opening the file. By using an appropriate encoding, such as 'utf-8', we can ensure that Unicode characters are properly encoded and written to the file.

The updated code should be modified as follows:

python
Copy code
print(interrogation_function(img), file=open(os.path.join(ii_output_dir, f"{left}.txt"), 'a', encoding='utf-8'))
By making this change, the code will no longer raise the UnicodeEncodeError and will correctly handle Unicode characters during the file write operation.

Zoom and pan: More options in the settings and improved error output

fixed typos

Use os.makedirs(..., exist_ok=True)

Fix Typo of hints.js

Strip whitespaces from URL and dirname prior to extension installation

This avoid some cryptic errors brought by accidental spaces around urls

Allow activation of Generate Forever during generation

persistent conds cache

Don't die when a LoRA is a broken symlink

Split mask blur into X and Y components, patch Outpainting MK2 accordingly

Forcing Torch Version to 1.13.1 for RX 5000 series GPUs

Fixes #11098

Fixes unexpected noise in non-outpainted borders when using MK2 script.

Prequisite to fixing Outpainting MK2 mask blur bug.

Generate Forever during generation

Update shared.py

link footer API to Wiki when API is not active

Fix upcast attention dtype error.

Without this fix, enabling the "Upcast cross attention layer to float32" option while also using `--opt-sdp-attention` breaks generation with an error:

```
  File "/ext3/automatic1111/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 612, in sdp_attnblock_forward
    out = torch.nn.functional.scaled_dot_product_attention(q, k, v, dropout_p=0.0, is_causal=False)
RuntimeError: Expected query, key, and value to have the same dtype, but got query.dtype: float key.dtype: float and value.dtype: c10::Half instead.
```

The fix is to make sure to upcast the value tensor too.

handles exception when parsing generation parameters from png info