IMPORTANTINT5 model requires my custom node - <a target="_blank" rel="ugc" href="https://github.com/bakapotatolord/ComfyUI-PotatoForge-INTx">https://github.com/bakapotatolord/ComfyUI-PotatoForge-INTx</a>Clone it in ComfyUI/custom_nodes folder or it won't work. INT8 Mixed model should work as is, no need for custom node.<hr />Quantization of Krea 2 Turbo <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">primarily meant for low VRAM/RAM usage, expect degradation in quality compared to INT8 Convrot only quants or BF16<hr />INT5 is highly experimental, my goal was to find a middle ground between INT4 and my very own INT6. All block layers are in int5 convrot, it's not mixed.Once again, used a simple T2I workflow, no second stage or upscaling done as I'm too lazy for that.Tested on:<ul><li>NVIDIA GTX 1660 Super 6 GB</li><li>32 GB System RAM</li></ul>Test settings:<ul><li>8 steps</li><li>CFG 1</li><li>Euler / Simple</li><li>696 × 1048 resolution (0.7 on resolution selector)</li><li>Approximately 9 s/it on a GTX 1660 Super</li></ul>Quantized using my <a target="_blank" rel="ugc" href="https://github.com/bakapotatolord/potatoforge-quantization">toolkit</a>

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