NitroFusion2 makes sharp text-to-image results in one step on top of Z-Image-Turbo

NitroFusion2Free open weights on Hugging Face (Apache 2.0); ComfyUI workflows on GitHub; Hugging Face demo.

NitroFusion2 is an open 1 to 2 step text-to-image model built on Z-Image-Turbo that keeps lettering and fine detail sharp even at one step. It ships with ComfyUI workflows and GGUF files from 2.0 GB to 7.2 GB.

What it does

A distilled text-to-image model that trains its adversarial loss on the text stream of the diffusion transformer, which the authors say helps typography and fine detail at one step. There are 1-step and 2-step ComfyUI workflows, GGUF versions of both, a diffusers script for 1 to 4 steps and an online demo.

Worth knowing

For 2 steps the authors recommend their de-distillation LoRA at 0.5 on the first step to remove some artifacts; the 2-step workflow already does this. Weights are Apache 2.0 and need the Z-Image-Turbo base pipeline. Paper on arXiv (2611.05648).

Try it yourself

Latina female with thick wavy hair, harbor boats and pastel houses behind. Breezy seaside light, warm tones, cinematic close-up.
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