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Tara Ding 2026-04-27 14:22:27 -07:00
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benchmarks/benchmark_comfyui_serving.py
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@ -6,6 +6,15 @@ Submits prompts concurrently to a running ComfyUI server and reports
latency/throughput metrics. Input images and prompt files are prepared
automatically (and cached for reuse) before the benchmark starts.
On first run the script will:
1. Download model weights (if --download-models is set).
2. Download the VBench I2V image dataset (requires: pip install gdown),
or generate synthetic placeholder images as a fallback.
3. Write one prompt JSON per input image under benchmarks/prompts/<model>_<task>/.
On subsequent runs all three steps are skipped if the files already exist.
Requests are distributed across prompt files in round-robin order.
Supported models / tasks
------------------------
wan22 / i2v — Wan 2.2 Image-to-Video (LightX2V 4-step, 720×720, 81 frames)