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update runner#930

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llmc-reviewer merged 1 commit intomainfrom
fix
Mar 9, 2026
Merged

update runner#930
llmc-reviewer merged 1 commit intomainfrom
fix

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Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refines the initialization logic within the default runner by simplifying the scheduler.prepare method call. The change removes a redundant or unnecessary parameter, leading to cleaner and potentially more robust code execution during model setup.

Highlights

  • Scheduler Preparation: The infer_steps parameter was removed from the self.model.scheduler.prepare method call in default_runner.py. This simplifies the method signature and potentially streamlines the scheduler's initialization process.

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Changelog
  • lightx2v/models/runners/default_runner.py
    • Removed the infer_steps argument from the scheduler.prepare method call.
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@llmc-reviewer llmc-reviewer merged commit e32ec11 into main Mar 9, 2026
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@llmc-reviewer llmc-reviewer deleted the fix branch March 9, 2026 03:44
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Code Review

This pull request updates the default_runner.py file by removing a redundant infer_steps parameter during the scheduler preparation. While this cleanup is good, the change also combines a multi-line function call into a single, excessively long line. My review suggests reformatting this call to improve code readability and adhere to standard Python style guidelines.

self.model.scheduler.prepare(
seed=self.input_info.seed, latent_shape=self.input_info.latent_shape, infer_steps=self.model.scheduler.infer_steps, image_encoder_output=self.inputs["image_encoder_output"]
)
self.model.scheduler.prepare(seed=self.input_info.seed, latent_shape=self.input_info.latent_shape, image_encoder_output=self.inputs["image_encoder_output"])
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medium

This line is excessively long, which harms readability and violates common Python style conventions. To improve the code's clarity and maintainability, it's best to format the function call across multiple lines, with one argument per line.

        self.model.scheduler.prepare(
            seed=self.input_info.seed,
            latent_shape=self.input_info.latent_shape,
            image_encoder_output=self.inputs["image_encoder_output"],
        )
References
  1. PEP 8 suggests limiting all lines to a maximum of 79 characters for code, which improves readability. (link)

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