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English(EN) Krea2 Turbo INT8 ConvRot on AMD ROCm: got it faster than FP8 with a selective Triton workaround

AMD ROCm用户通过INT8 Triton变通方法实现Krea2 Turbo性能提升

一位用户通过实施选择性的Triton变通方法,成功地为AMD ROCm硬件优化了Krea2 Turbo模型。该变通方法允许INT8 ConvRot操作运行速度比FP8更快,在FP8基线基础上实现了18%的速度提升,并与之前的INT8回退方法相比实现了显著的6倍加速。该解决方案涉及仅通过Triton路由INT8线性操作,同时保持其他可能不稳定的路径禁用。 AI

影响 在AMD硬件上实现特定模型的更快推理速度,可能改善用户体验和可访问性。

排序理由 用户为特定硬件/软件栈开发的优化。

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AMD ROCm用户通过INT8 Triton变通方法实现Krea2 Turbo性能提升

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用户为特定硬件/软件栈开发的优化。
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报道来源 [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Itchy_Push_3077 ·

    Krea2 Turbo INT8 ConvRot on AMD ROCm:通过选择性的Triton变通方案,速度比FP8更快

    <!-- SC_OFF --><div class="md"><p>I have been testing Krea2 Turbo in ComfyUI on AMD ROCm and finally got INT8 ConvRot running faster than FP8 on my machine.</p> <p>This is mainly interesting for AMD/ROCm users, because the INT8 ConvRot path can be awkward there: the safe fallback…