toolathlon-mai/Z-Image-Turbo-GGUF
AI model by toolathlon-mai
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GGUF Quantization support for native ComfyUI models This is currently very much WIP. These custom nodes provide support for model files stored in the GGUF format popularized by llama.cpp. While quantization wasn't feasible for regular UNET models (conv2d), transformer/DiT models such as flux seem less affected by quantization. This allows running it in much lower bits per weight variable bitrate quants on low-end GPUs. For further VRAM savings, a node to load a quantized version of the T5 text encoder is also included. Note: The "Force/Set CLIP Device" is NOT part of this node pack. Do not install it if you only have one GPU. Do not set it to cuda:0 then complain about OOM errors if you do not undestand what it is for. There is not need to copy the workflow above, just use your own workflow and replace the stock "Load Diffusion Model" with the "Unet Loader…
Read the full model card ↗ · Preview checked 2026-11-10T09:15:36.692Z
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Model overview
toolathlon-mai/Z-Image-Turbo-GGUF is a task-unspecified model repository published by toolathlon-mai on Hugging Face. A library was not reported.
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Model facts
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- Created
- 2026-11-10T06:09:00.000Z
- Last modified
- 2026-11-10T06:09:14.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-10T06:56:23.256Z. Daily imports are snapshots, not real-time monitoring.
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