Translations:Diffusion Models Are Real-Time Game Engines/43/zh: Difference between revisions

    From Marovi AI
    (Created page with "仅使用 4 个去噪步骤导致 U-Net 总耗时为 40 毫秒(包括自动编码器的推理总耗时为 50 毫秒),即每秒 20 帧。我们推测,在我们的案例中,较少步骤对质量影响可忽略不计,是由于以下因素的结合:(1) 受限的图像空间,以及 (2) 前一帧的强条件作用。")
     
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    Latest revision as of 00:24, 9 September 2024

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    Message definition (Diffusion Models Are Real-Time Game Engines)
    Using just 4 denoising steps leads to a total U-Net cost of 40ms (and total inference cost of 50ms, including the auto encoder) or 20 frames per second. We hypothesize that the negligible impact to quality with few steps in our case stems from a combination of: (1) a constrained images space, and (2) strong conditioning by the previous frames.

    仅使用 4 个去噪步骤导致 U-Net 总耗时为 40 毫秒(包括自动编码器的推理总耗时为 50 毫秒),即每秒 20 帧。我们推测,在我们的案例中,较少步骤对质量影响可忽略不计,是由于以下因素的结合:(1) 受限的图像空间,以及 (2) 前一帧的强条件作用。