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Even_Adder@lemmy.dbzer0.comM to Stable Diffusion@lemmy.dbzer0.comEnglish · 4 days ago

Abrahamm3r/Z-Image-SDNQ-uint4-svd-r32 · A 4-bit quantized version of Tongyi-MAI/Z-Image using SDNQ (Structured Decomposable Neural Quantization)

huggingface.co

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Abrahamm3r/Z-Image-SDNQ-uint4-svd-r32 · A 4-bit quantized version of Tongyi-MAI/Z-Image using SDNQ (Structured Decomposable Neural Quantization)

huggingface.co

Even_Adder@lemmy.dbzer0.comM to Stable Diffusion@lemmy.dbzer0.comEnglish · 4 days ago
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Abrahamm3r/Z-Image-SDNQ-uint4-svd-r32 · Hugging Face
huggingface.co
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.

You need comfyui-sdnq to load SDNQ quantized models in ComfyUI: https://github.com/EnragedAntelope/comfyui-sdnq

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  • db0@lemmy.dbzer0.comM
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    3 days ago

    What are the tradeoffs? I can’t believe a 50% to 75% RAM reduction is free. Is this like quantization?

    • Even_Adder@lemmy.dbzer0.comOPM
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      3 days ago

      Yeah, it’s a different form of quantization. I think it’s supposed to look a little better than conventional quants, but it still has all the tradeoffs of a quant.

      • db0@lemmy.dbzer0.comM
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        3 days ago

        gotcha, so this downloads its own custom quantization models?

        • Even_Adder@lemmy.dbzer0.comOPM
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          3 days ago

          Yeah.

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