1. While the unified low-precision quantization strategy is effective, the scalability of the approach—especially when applied to larger diffusion models beyond those tested—is unclear. Including runtime and memory trade-offs when scaling to more complex models (e.g., SDXL) or higher-resolution tasks would enhance the practical utility of the work.
2. There is a lack of BF16 (baseline) when the authors try to demonstrate the effectiveness of the purposed method on FP8 configurations.
3. In Fig.5, as shown in the third figure, the proposed sensitive-layer selection against randomized selection does not make too much difference in terms of StableDiffusion and the authors do not further discuss such an observation. Besides, there is a lack of mathematical or theoretical justification for the proposed Algorithm.1.
3. In Fig.5, as shown in the third figure, the proposed sensitive-layer selection against randomized selection does not make too much difference in terms of StableDiffusion and the authors do not further discuss such an observation. Besides, there is a lack of mathematical or theoretical justification for the proposed Algorithm.1.