An experimental converter for Krea 2 Turbo models has been developed, enabling mixed-precision ConvRot W4A4 quantization. This process significantly reduces model file sizes and VRAM usage, with an aggressive INT4 version reaching 11.88 GB. Testing a Q3 mixed-precision profile demonstrated a substantial improvement in generation speed, being approximately 2.7 times faster than the original BF16 model while maintaining surprisingly strong image quality. AI
IMPACT This development could lead to more efficient deployment of large image generation models on consumer hardware.
RANK_REASON The item describes a new experimental converter and quantization technique for an existing model, detailing performance improvements and quality comparisons. [lever_c_demoted from research: ic=1 ai=1.0]
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