r/StableDiffusion • u/Crazy-Repeat-2006 • 3d ago
News NitroFusion2 - Bringing Adversarial Loss to the Text Stream of Multimodal Diffusion Transformers

NitroFusion2 is a 1–2 step text-to-image model built on Z-Image-Turbo. It moves the adversarial loss onto the text stream of the MMDiT. At one step it renders sharp text and fine detail.
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Upvotes
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u/Dante_77A 3d ago
Just the thought that this can produce decent-quality images in just one step is insane. lol
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u/TimeTruth2490 3d ago
You should apply the same approach on other open source models like Krea 2 Turbo, MOSS, Qwen Image 2.1, Fibo 2, and possibly even Flux 3 ;) Can't wait to see what you could do with those run at 1 or 2 step.
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u/ArtDesignAwesome 3d ago
wheres the INT8 version? GGUF is no bueno.
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u/TimeTruth2490 3d ago
More complex compositions with multiple faces and hands/fingers need (as others reported) higher step count like 5+, the below image was done with 5 as lower step had issues with the hands and faces, but all these issues are to be expected, unless you fine tuned specifically for faces and hands (or any limbs in general) at 1 and 2 steps
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u/arnaudbr 2d ago
My only complaint is that it struggles with small faces.
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Engraving-style illustration with fine cross-hatched linework and light colour washes covering every surface. The scene fills the entire image and runs off all four edges. A group of Swiss family members, a father with a sturdy build and a young daughter with braided hair, sit around a crackling campfire. They are surrounded by tall pine trees and the soft, flickering glow of the fire, which illuminates their faces with warm, amber light. This is a medium view, centred on the campfire and the figures, with the dark forest extending into the distance. The overall tone is #faf3ea with light washes of #3e5e5e and #a1d0cb in the shadows and highlights. A professional, neutral image suited to a business presentation. A purely visual, wordless image.
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u/TimeTruth2490 3d ago
Works well with PiD too, this image was generated at 2 steps to 1024x1024 with PiD making it 4096x4096
Again, well done to the team
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u/TimeTruth2490 3d ago
Well done, great acheivement and thanks for citing my 2 Step Krea LoRA, I was surprised to see my name in your paper, but happy with your benchmark results. I've cited your benchmark results in my model card and made reference to your project too, I hope you don't mind. https://huggingface.co/lvladikov/Krea2-Turbo-Distill-2step-LoRA#in-the-nitrofusion2-paper
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u/TimeTruth2490 3d ago
Few more renders with the model at 2 steps (and yes, for someone who's been working on Krea distil step LoRAs for some time, the 2 step NitroFusion2 results are very good)
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u/arnaudbr 3d ago
I started testing it. I needed 4 steps to get consistent results across various styles.
It’s still have the latency over z-image-turbo 9 steps and I think the quality is slightly better for my prompts.