Qwen-Image-2.1-LoRAs-PnP

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.

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.

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.

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

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.