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AMD ROCm users achieve faster Krea2 Turbo performance with INT8 Triton workaround

A user has successfully optimized the Krea2 Turbo model for AMD ROCm hardware by implementing a selective Triton workaround. This workaround allows INT8 ConvRot operations to run faster than FP8, achieving an 18% speed improvement over the FP8 baseline and a significant 6x speedup compared to the previous INT8 fallback method. The solution involves routing only the INT8 linear operation through Triton while keeping other potentially unstable paths disabled. AI

IMPACT Enables faster inference on AMD hardware for specific models, potentially improving user experience and accessibility.

RANK_REASON User-developed optimization for specific hardware/software stack.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AMD ROCm users achieve faster Krea2 Turbo performance with INT8 Triton workaround

COVERAGE [1]

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

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

    <!-- 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…