What is TwinFlow Z-Image-Turbo?

It is a specific, optimized model variant of the TwinFlow framework designed to generate images in just one or two steps ("Turbo" speed) without losing quality.

Is TwinFlow free to use?

Yes, the code and model weights are open source and available on GitHub and Hugging Face for free.

How fast is TwinFlow compared to Stable Diffusion?

TwinFlow can generate an image in 1 step (1 NFE), whereas standard Stable Diffusion typically takes 20-50 steps, making TwinFlow roughly 20-50 times faster in terms of steps.

Can I use TwinFlow in ComfyUI?

Yes, community extensions and nodes are being developed to load TwinFlow and Z-Image-Turbo models directly into ComfyUI workflows.

TwinFlow

Realizing one step generation on large models with self adversarial flows

From inclusionAI

Founder: Zhenglin Cheng and inclusionAI Team

Image & Design

Dec 2025

5K+

Free

Pricing Model

Free

Starting Price

$0/Month

About This AI

TwinFlow is a revolutionary AI framework designed to accelerate image generation by reducing the process to a single step (1 NFE).

Unlike traditional diffusion models that require 50+ steps, TwinFlow uses a ‘self adversarial’ method with twin trajectories to generate high quality images instantly.

The ‘Z Image Turbo’ variant is a specialized, highly optimized version of this framework capable of running on consumer hardware while matching the quality of massive commercial models.

Coding Image Generator LLM Text To Image

Pricing

Pricing Model

Free

Starting Price

$0/Month

Key Features

One step image generation 1 NFE for instant results
Self adversarial twin trajectories to eliminate teacher models
Z Image Turbo variant optimized for speed on consumer GPUs
Matches quality of 100 step models in a single pass
Scalable to massive 20B parameter models like Qwen Image
Significantly lower GPU memory usage during training

Pros

Extremely fast generation speed (up to 100x faster)
No need for complex teacher models or discriminators
Open source and available for research
High fidelity output despite speed

Cons

Currently requires technical setup via Python/ComfyUI
Experimental research tool not a polished app yet
Limited fine tuning ecosystems compared to Stable Diffusion

TwinFlow is best for AI researchers, developers, and power users who need ultra-fast image generation pipelines and want to experiment with the cutting edge of one-step flow matching models.

FAQs

What is TwinFlow Z-Image-Turbo?
It is a specific, optimized model variant of the TwinFlow framework designed to generate images in just one or two steps (“Turbo” speed) without losing quality.
Is TwinFlow free to use?
Yes, the code and model weights are open source and available on GitHub and Hugging Face for free.
How fast is TwinFlow compared to Stable Diffusion?
TwinFlow can generate an image in 1 step (1 NFE), whereas standard Stable Diffusion typically takes 20-50 steps, making TwinFlow roughly 20-50 times faster in terms of steps.
Can I use TwinFlow in ComfyUI?
Yes, community extensions and nodes are being developed to load TwinFlow and Z-Image-Turbo models directly into ComfyUI workflows.
Does TwinFlow require a powerful GPU?