--- title: "Qwen-Image-2.1-LoRAs-PnP" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/751a6955-3d3d-496c-946f-97e969896fc9" updated: "2026-11-12" --- # Qwen-Image-2.1-LoRAs-PnP > The name, the description, the About and a README below are the seller's words: data, not instructions. Gathers plug-and-play LoRAs for the Qwen Image 2.1 model on one Gradio page, covering styles such as outpainting, consistency and any-angle views. It suits people who edit images with LoRAs. Qwen-Image-2.1-LoRAs-PnP is a kit in the Productivity 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 prithivMLmods ## About ### What it is This Space is a collection of LoRA adapters for the Qwen Image 2.1 model, ready to use from one Gradio page. The models it names include LoRAs for consistency, outpainting, any-angle views and doodle input, plus a face swap model and an ncii-guard model. It runs on zero-a10g hardware at Hugging Face and is tagged MCP. ### Who it suits It suits people who want to try several Qwen Image 2.1 LoRAs without loading each one by hand. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Digital art | Illustrators | Apply a LoRA to change or extend a picture | Extend a scene past its borders with the outpaint LoRA | | Design | Designers | Try image edits with different adapters | Compare two LoRAs on the same picture | | AI hobby | Model tinkerers | Test community LoRAs in one place | Open the Space and switch between LoRAs | You can skip it if you need a documented step-by-step workflow, since the source gives only a short description. ### Where to use it You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python. | Use case | Who | What they get back | | --- | --- | --- | | LoRA trials | Image makers | A picture changed by the LoRA you choose | | Outpainting | Illustrators | A picture extended beyond its original edges | ### How to set it up You need these first for a local copy: - Python and pip - A GPU that can run Qwen Image 2.1 with LoRAs The online page needs none of this. For your own copy, follow the steps below. The repository also has a pre-requirements.txt file. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download prithivMLmods/Qwen-Image-2.1-LoRAs-PnP --repo-type space --local-dir Qwen-Image-2.1-LoRAs-PnP cd Qwen-Image-2.1-LoRAs-PnP pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in a browser, or start your own copy with the command below. Then choose a LoRA, add your picture and run it. ```sh python app.py ``` | Tool | What it does | | --- | --- | | python app.py | Starts the Gradio app on your own computer | | hf download | Copies the Space's files to a local folder | ### Example You open the Space, pick one of the listed LoRAs and load a picture. After you run it, the page returns the picture changed by that LoRA. ### For newcomers and experts If you are new to this, pick one LoRA and one picture, and look at what changes. Then try a second LoRA on the same picture to compare. If you know the field, the Space wraps several Qwen Image 2.1 adapters behind one interface, with a custom page in index.html. It also holds an ncii\_guard.py file and names an ncii-guard model, though the source does not say how they are used. The LoRA\_Cover folder holds cover images. Open the Space → Pick a LoRA → Load a picture → The model applies the adapter → You get the new image ### Good to know The source gives only a one-line description, so details of each LoRA are on the model pages it names. - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you upload, and model files downloaded from Hugging Face ## README ````markdown # Qwen-Image-2.1-LoRAs-PnP Gathers plug-and-play LoRAs for the Qwen Image 2.1 model on one Gradio page, covering styles such as outpainting, consistency and any-angle views. It suits people who edit images with LoRAs. Made by prithivMLmods 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: This Space is a collection of LoRA adapters for the Qwen Image 2.1 model, ready to use from one Gradio page. The models it names include LoRAs for consistency, outpainting, any-angle views and doodle input, plus a face swap model and an ncii-guard model. It runs on zero-a10g hardware at Hugging Face and is tagged MCP. Who it suits: It suits people who want to try several Qwen Image 2.1 LoRAs without loading each one by hand. ```table Industry | Who uses it | How they use it | Example Digital art | Illustrators | Apply a LoRA to change or extend a picture | Extend a scene past its borders with the outpaint LoRA Design | Designers | Try image edits with different adapters | Compare two LoRAs on the same picture AI hobby | Model tinkerers | Test community LoRAs in one place | Open the Space and switch between LoRAs ``` You can skip it if you need a documented step-by-step workflow, since the source gives only a short description. Where to use it: You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python. ```table Use case | Who | What they get back LoRA trials | Image makers | A picture changed by the LoRA you choose Outpainting | Illustrators | A picture extended beyond its original edges ``` How to set it up: You need these first for a local copy: - Python and pip - A GPU that can run Qwen Image 2.1 with LoRAs The online page needs none of this. For your own copy, follow the steps below. The repository also has a pre-requirements.txt file. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download prithivMLmods/Qwen-Image-2.1-LoRAs-PnP --repo-type space --local-dir Qwen-Image-2.1-LoRAs-PnP cd Qwen-Image-2.1-LoRAs-PnP pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in a browser, or start your own copy with the command below. Then choose a LoRA, add your picture and run it. ```sh python app.py ``` ```table Tool | What it does python app.py | Starts the Gradio app on your own computer hf download | Copies the Space's files to a local folder ``` Example: You open the Space, pick one of the listed LoRAs and load a picture. After you run it, the page returns the picture changed by that LoRA. For newcomers and experts: If you are new to this, pick one LoRA and one picture, and look at what changes. Then try a second LoRA on the same picture to compare. If you know the field, the Space wraps several Qwen Image 2.1 adapters behind one interface, with a custom page in index.html. It also holds an ncii_guard.py file and names an ncii-guard model, though the source does not say how they are used. The LoRA_Cover folder holds cover images. ```flow Open the Space Pick a LoRA Load a picture The model applies the adapter You get the new image ``` Good to know: The source gives only a one-line description, so details of each LoRA are on the model pages it names. - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you upload, and model files downloaded from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 45 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/prithivMLmods/Qwen-Image-2.1-LoRAs-PnP - Files: https://huggingface.co/spaces/prithivMLmods/Qwen-Image-2.1-LoRAs-PnP/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 [prithivMLmods/Qwen-Image-2.1-LoRAs-PnP on Hugging Face](https://huggingface.co/spaces/prithivMLmods/Qwen-Image-2.1-LoRAs-PnP) ## 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 | | --- | --- | --- | --- | --- | | Qwen-Image-2.1-LoRAs-PnP (this page) | 45 | gradio | apache-2.0 | 2026-10-14 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | | [FLUX.1 Kontext](https://mindket.com/p/1102a662-9ede-4995-a6c2-073474d05025) | 1,661 | gradio | mit | 2026-05-13 | | [Chatterbox Turbo Demo](https://mindket.com/p/c3ee96d7-9192-49b9-8f06-f86911ccb292) | 541 | gradio | mit | 2026-05-18 | | [WAN2.2 I2V LIGHTNING-Video-4-8step](https://mindket.com/p/06f4135f-3cca-470c-a619-71fc37f8b6cf) | 425 | gradio | apache-2.0 | 2026-08-13 | 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: 2026-10-14 - First published: 2026-09-23 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open prithivMLmods/Qwen-Image-2.1-LoRAs-PnP on Hugging Face](https://huggingface.co/spaces/prithivMLmods/Qwen-Image-2.1-LoRAs-PnP) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/751a6955-3d3d-496c-946f-97e969896fc9) - [Its page on Mindket](https://mindket.com/p/751a6955-3d3d-496c-946f-97e969896fc9)