Benchmark 2601

[Musisoul]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @Musisoul, 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 focuses on expanding the benchmarking capabilities of the system by introducing new scripts for evaluating various image and video generation models. It also enhances observability by adding performance logging to a key image processing pipeline and adjusts a distributed inference configuration to potentially improve efficiency.

Highlights

• New Benchmark Scripts: Three new benchmark scripts have been added to evaluate the performance of Qwen-Image models for text-to-image and image-to-image tasks, and the Wan2.2-T2V model for text-to-video generation.
• Performance Logging: End-to-end timing has been integrated into the qwen_image_runner pipeline to measure and log the total execution time for image generation tasks.
• Configuration Adjustment: The cpu_offload setting in the wan22_moe_t2v_cfg_ulysses.json configuration has been changed from true to false, likely to optimize resource usage or performance for distributed inference.

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[gemini-code-assist]

Code Review

The pull request introduces performance logging for the Qwen image runner and adds new benchmark scripts. The performance logging is a valuable addition for monitoring. However, the time module was used without being imported, which will cause a runtime error. Additionally, the new benchmark scripts contain placeholder paths that need to be explicitly set by the user, which could lead to initial setup issues.