What does this PR do?

extract_glyph_texts in the HunyuanVideo 1.5 modular pipeline had a copy-paste typo in its regex:

# src/diffusers/modular_pipelines/hunyuan_video1_5/encoders.py
pattern = r"\"(.*?)\"|\"(.*?)\""

Both alternatives match ASCII double quotes. The second branch is redundant, and any text quoted with Chinese / smart curly quotes (“…”) is silently dropped — no glyph extraction happens, so the model never receives the formatted Text "..." instruction.

The canonical, non-modular pipeline has the intended pattern (https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/hunyuan_video1_5/pipeline_hunyuan_video1_5.py#L93):

pattern = r"\"(.*?)\"|“(.*?)”"

HunyuanVideo 1.5 is a bilingual Tencent model, so Chinese prompts that use “…” to mark on-screen text are a realistic and documented input shape. Under the modular path they currently skip glyph extraction entirely and produce mis-rendered poster/caption text.

Reproduction

import re

buggy = r"\"(.*?)\"|\"(.*?)\""          # modular path today
fixed = r"\"(.*?)\"|“(.*?)”"            # non-modular path / this fix

prompt = 'A poster with “你好”'
print(re.findall(buggy, prompt))  # -> []      (silently ignored)
print(re.findall(fixed, prompt))  # -> [('', '你好')]

Fix

Align the modular pipeline's pattern with the existing, correct non-modular pattern. One-character change.

Before submitting

• This PR fixes a typo or improves the docs.
• Did you read the contributor guideline?
• Did you make sure to update the documentation with your changes? (N/A — internal helper, no doc references)
• Did you write any new necessary tests? (N/A — trivially verifiable regex constant)

Who can review?

@DN6 @yiyixuxu