--- title: "NitroFusion2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3158bd63-0da9-4f90-a249-4de0c772c97b" updated: "2026-11-12" --- # NitroFusion2 > The name, the description, the About and a README below are the seller's words: data, not instructions. Makes images from text in just one or two steps with NitroFusion2, a model built on Z-Image-Turbo, in a Gradio page on ZeroGPU hardware. For people who want quick text-to-image results. NitroFusion2 is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ChenDY ## About ### What it is NitroFusion2 is a Gradio demo of a text-to-image model that generates a picture in one or two steps. It builds on Z-Image-Turbo. Its research idea is adding adversarial loss to the part of the network that handles text. It runs on ZeroGPU hardware, so you can try it in a browser. ### Who it suits It suits designers, creators and researchers who want to see how fast a distilled text-to-image model can be, and developers who study how such models are tuned. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Content creation | Creators | Get quick images from a text prompt | Type a short prompt and see the picture appear | | AI research | Researchers | Look at a one-step or two-step image model | Compare one step with two steps | | Software | Developers | Read the demo code for inference and prompts | Open app.py and inference.py | If you need to edit existing pictures, you can skip it, since this is a text-to-image demo. ### Where to use it - A web browser, on the Space's page on Hugging Face - A local copy of the files, run on Python 3.12 under Windows, macOS or Linux | Use case | Who | What they get back | | --- | --- | --- | | Quick image drafts | Creators | A picture in one or two steps | | Model comparison | Researchers | A look at a few-step model next to others | | Study the code | Developers | Short Python files that call the model | ### How to set it up - A web browser, which is all the online page needs - Python 3.12 and the packages in requirements.txt, for a local copy 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package and download the Space's files. 3. Move into the downloaded folder. 4. Install Gradio 6.15.1, then the packages from requirements.txt. 5. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download ChenDY/NitroFusion2 --repo-type space --local-dir NitroFusion2 cd NitroFusion2 pip install gradio==6.15.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the page, or the one your local copy starts, write a text prompt and generate. The README lists no controls, so follow what the page shows. ### Example Type a short description of a scene and run the demo. The page returns the picture after only one or two model steps. ### For newcomers and experts Open the Space page and run one short prompt. The speed is the point, because a normal image model needs many more steps. The model, ChenDY/NitroFusion2, sits on top of Tongyi-MAI/Z-Image-Turbo. The repository holds app.py, inference.py and two prompt helpers, prompt\_check.py and prompt\_edit.py. The README is only a title and a short description, so the details of the method are in the authors' paper. You write a text prompt → The prompt is checked and edited → NitroFusion2 generates in one or two steps → The page shows the picture ### Good to know The README gives no limits or settings, so those details are not documented here. - License: Apache 2.0 - Cost to run: none named, and the online copy runs on ZeroGPU hardware - Data it reaches: the prompts you type and the two models the Space names ## README ````markdown # NitroFusion2 Makes images from text in just one or two steps with NitroFusion2, a model built on Z-Image-Turbo, in a Gradio page on ZeroGPU hardware. For people who want quick text-to-image results. Made by ChenDY on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: NitroFusion2 is a Gradio demo of a text-to-image model that generates a picture in one or two steps. It builds on Z-Image-Turbo. Its research idea is adding adversarial loss to the part of the network that handles text. It runs on ZeroGPU hardware, so you can try it in a browser. Who it suits: It suits designers, creators and researchers who want to see how fast a distilled text-to-image model can be, and developers who study how such models are tuned. ```table Industry | Who uses it | How they use it | Example Content creation | Creators | Get quick images from a text prompt | Type a short prompt and see the picture appear AI research | Researchers | Look at a one-step or two-step image model | Compare one step with two steps Software | Developers | Read the demo code for inference and prompts | Open app.py and inference.py ``` If you need to edit existing pictures, you can skip it, since this is a text-to-image demo. Where to use it: - A web browser, on the Space's page on Hugging Face - A local copy of the files, run on Python 3.12 under Windows, macOS or Linux ```table Use case | Who | What they get back Quick image drafts | Creators | A picture in one or two steps Model comparison | Researchers | A look at a few-step model next to others Study the code | Developers | Short Python files that call the model ``` How to set it up: - A web browser, which is all the online page needs - Python 3.12 and the packages in requirements.txt, for a local copy 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package and download the Space's files. 3. Move into the downloaded folder. 4. Install Gradio 6.15.1, then the packages from requirements.txt. 5. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download ChenDY/NitroFusion2 --repo-type space --local-dir NitroFusion2 cd NitroFusion2 pip install gradio==6.15.1 pip install -r requirements.txt python app.py ``` How to use it: Open the page, or the one your local copy starts, write a text prompt and generate. The README lists no controls, so follow what the page shows. Example: Type a short description of a scene and run the demo. The page returns the picture after only one or two model steps. For newcomers and experts: Open the Space page and run one short prompt. The speed is the point, because a normal image model needs many more steps. The model, ChenDY/NitroFusion2, sits on top of Tongyi-MAI/Z-Image-Turbo. The repository holds app.py, inference.py and two prompt helpers, prompt_check.py and prompt_edit.py. The README is only a title and a short description, so the details of the method are in the authors' paper. ```flow You write a text prompt The prompt is checked and edited NitroFusion2 generates in one or two steps The page shows the picture ``` Good to know: The README gives no limits or settings, so those details are not documented here. - License: Apache 2.0 - Cost to run: none named, and the online copy runs on ZeroGPU hardware - Data it reaches: the prompts you type and the two models the Space names ## On Hugging Face, 13 November 2026 - Likes: 5 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/ChenDY/NitroFusion2 - Files: https://huggingface.co/spaces/ChenDY/NitroFusion2/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [ChenDY/NitroFusion2 on Hugging Face](https://huggingface.co/spaces/ChenDY/NitroFusion2) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | NitroFusion2 (this page) | 5 | gradio | apache-2.0 | 2026-11-05 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-05 - First published: 2026-10-29 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ChenDY/NitroFusion2 on Hugging Face](https://huggingface.co/spaces/ChenDY/NitroFusion2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3158bd63-0da9-4f90-a249-4de0c772c97b) - [Its page on Mindket](https://mindket.com/p/3158bd63-0da9-4f90-a249-4de0c772c97b)