NitroFusion2 open-sourced: sharp 1-2 step images with readable text via text-stream adversarial loss

pbaylies · x · 2026-11-05

NitroFusion2, a 1–2 step text-to-image model built on Z-Image-Turbo, is released under Apache-2.0. Its key trick is moving adversarial loss onto the text stream of the MMDiT — since the text stream has already read the image, it can be steered to fix typography and object details, rendering sharp readable text in a single step. Checkpoints are on Hugging Face with ComfyUI workflows (1-step and 2-step), diffusers code and an online demo.

Related event: NitroFusion2 Open-Sources 1-2 Step Text-to-Image Model via Text-Stream Adversarial Distillation(4 posts)→

Original post →

More from Multimodal

Multimodal channel →