--- title: "Z-Image Lookalike LoRA Index" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd" updated: "2026-11-12" --- # Z-Image Lookalike LoRA Index > The name, the description, the About and a README below are the seller's words: data, not instructions. A static web page that indexes LoRA add-ons for the ZI Base, ZI Turbo and Ming models, opened in a browser. Its README is a single line, so how the index is organized is not stated. Z-Image Lookalike LoRA Index 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 nphSi ## About ### What it is Z-Image Lookalike LoRA Index is a static web page on Hugging Face Spaces, made by nphSi. Its README is a single line saying it gathers genuine LoRAs for ZI Base, ZI Turbo and Ming. The Space also names one model repository, nphSi/Z-Image-Lora, without explaining how the two relate. ### Who it suits People who run these image models and want a place to look for LoRA files. The table below shows rough fits, judged from the name and the one-line README. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Digital art | Image-model hobbyists | Browse the index for a LoRA to try with their model | Looking for an add-on that fits ZI Turbo | | Design | Visual designers | Check what is on offer before deciding what to download | Scanning the page for a style they want | | Software development | Web developers | Read index.html and style.css as a small static page example | Opening the files from a local copy | Anyone who needs an indexed, documented and vetted model library can skip it, because the README describes nothing about the entries. ### Where to use it - A web browser, through the Space's page on Hugging Face - Windows, macOS or Linux, as a downloaded folder opened in a browser | Use case | Who | What they get back | | --- | --- | --- | | Browse the index online | Anyone curious | A web page in the browser, with nothing to install | | Keep a local copy | Hobbyists | The page files on their own machine | | Study the page | Learners | A short index.html and style.css to read | ### How to set it up - Python, only for the pip command - The Hugging Face hub package - A web browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder named Lookalike-LoRA-Index. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download nphSi/Lookalike-LoRA-Index --repo-type space --local-dir Lookalike-LoRA-Index cd Lookalike-LoRA-Index ``` ### How to use it Online, open the Space's page and look through what the index shows. From a local copy, go into the folder and open index.html in your browser. ```sh cd Lookalike-LoRA-Index ``` | Tool | What it does | | --- | --- | | index.html | The page you open in a browser | | style.css | The styling file that goes with the page | | nphSi/Z-Image-Lora | A model the Space names, its role is not explained | ### Example You open the Space's page and scroll through the index, looking for a LoRA that matches the ZI Base or ZI Turbo model you run. The README does not describe what each entry shows, so what you see depends on the page itself. ### For newcomers and experts A LoRA is a small add-on file that changes how an image model draws. If you are new, open the Space's page in a browser and read it before downloading anything. Nothing needs installing for that. If you know the field, this is plain static HTML with a stylesheet and no server code, so the page is an index and not a generator. Check each LoRA's own card for its license and what it depicts. Open the Space page or index.html → Browser loads the static page → You browse the listed LoRAs → You fetch the ones that suit your model ### Good to know - Documentation: the README is one line, so every other claim here comes from file names and Hugging Face's own record - License: apache-2 - Cost to run: none named - Data it reaches: the source does not say, so open the page's files to see whether it loads anything from the web - Not for: the source names nothing it forbids, but use only faces and likenesses you have the right to use ## README ````markdown # Z-Image Lookalike LoRA Index A static web page that indexes LoRA add-ons for the ZI Base, ZI Turbo and Ming models, opened in a browser. Its README is a single line, so how the index is organized is not stated. Made by nphSi 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: Z-Image Lookalike LoRA Index is a static web page on Hugging Face Spaces, made by nphSi. Its README is a single line saying it gathers genuine LoRAs for ZI Base, ZI Turbo and Ming. The Space also names one model repository, nphSi/Z-Image-Lora, without explaining how the two relate. Who it suits: People who run these image models and want a place to look for LoRA files. The table below shows rough fits, judged from the name and the one-line README. ```table Industry | Who uses it | How they use it | Example Digital art | Image-model hobbyists | Browse the index for a LoRA to try with their model | Looking for an add-on that fits ZI Turbo Design | Visual designers | Check what is on offer before deciding what to download | Scanning the page for a style they want Software development | Web developers | Read index.html and style.css as a small static page example | Opening the files from a local copy ``` Anyone who needs an indexed, documented and vetted model library can skip it, because the README describes nothing about the entries. Where to use it: - A web browser, through the Space's page on Hugging Face - Windows, macOS or Linux, as a downloaded folder opened in a browser ```table Use case | Who | What they get back Browse the index online | Anyone curious | A web page in the browser, with nothing to install Keep a local copy | Hobbyists | The page files on their own machine Study the page | Learners | A short index.html and style.css to read ``` How to set it up: - Python, only for the pip command - The Hugging Face hub package - A web browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder named Lookalike-LoRA-Index. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download nphSi/Lookalike-LoRA-Index --repo-type space --local-dir Lookalike-LoRA-Index cd Lookalike-LoRA-Index ``` How to use it: Online, open the Space's page and look through what the index shows. From a local copy, go into the folder and open index.html in your browser. ```sh cd Lookalike-LoRA-Index ``` ```table Tool | What it does index.html | The page you open in a browser style.css | The styling file that goes with the page nphSi/Z-Image-Lora | A model the Space names, its role is not explained ``` Example: You open the Space's page and scroll through the index, looking for a LoRA that matches the ZI Base or ZI Turbo model you run. The README does not describe what each entry shows, so what you see depends on the page itself. For newcomers and experts: A LoRA is a small add-on file that changes how an image model draws. If you are new, open the Space's page in a browser and read it before downloading anything. Nothing needs installing for that. If you know the field, this is plain static HTML with a stylesheet and no server code, so the page is an index and not a generator. Check each LoRA's own card for its license and what it depicts. ```flow Open the Space page or index.html Browser loads the static page You browse the listed LoRAs You fetch the ones that suit your model ``` Good to know: - Documentation: the README is one line, so every other claim here comes from file names and Hugging Face's own record - License: apache-2 - Cost to run: none named - Data it reaches: the source does not say, so open the page's files to see whether it loads anything from the web - Not for: the source names nothing it forbids, but use only faces and likenesses you have the right to use ## On Hugging Face, 13 November 2026 - Likes: 189 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/nphSi/Lookalike-LoRA-Index - Files: https://huggingface.co/spaces/nphSi/Lookalike-LoRA-Index/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 [nphSi/Lookalike-LoRA-Index on Hugging Face](https://huggingface.co/spaces/nphSi/Lookalike-LoRA-Index) ## 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 | | --- | --- | --- | --- | --- | | Z-Image Lookalike LoRA Index (this page) | 189 | static | apache-2.0 | 2026-10-30 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | | [Semantic Galaxy](https://mindket.com/p/614cb97a-0930-4daf-a1a6-477dcf4e54a5) | 157 | static | apache-2.0 | 2026-05-12 | 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: 2026-10-30 - First published: 2026-02-21 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open nphSi/Lookalike-LoRA-Index on Hugging Face](https://huggingface.co/spaces/nphSi/Lookalike-LoRA-Index) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b982ec25-ae82-40ac-9834-49980598d3bd) - [Its page on Mindket](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd)