upscaler
uwg · Kit
Holds a set of image upscaling models gathered from the OpenModelDB community, for people who want to enlarge low-resolution pictures with AI on their own comp…
A Gradio demo from HuggingFaceTB for the SmolVLM2-2.2B-Instruct model, with example images included, that runs online in the browser or on your computer with Python 3.10.
SmolVLM is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download HuggingFaceTB/SmolVLM2 --repo-type space --local-dir SmolVLM2 cd SmolVLM2
SmolVLM is a Gradio demo that HuggingFaceTB published as a Hugging Face Space. It names the HuggingFaceTB/SmolVLM2-2.2B-Instruct model, and its repository holds a folder of example images beside app.py. At Hugging Face it runs on zero-a10g hardware.
People who want to try the SmolVLM2 model in a browser, and developers who want the demo's files to read or run themselves.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Machine learning | Model testers | Open the Space to try the model it names | Looking at how the model handles the example images |
| Software development | Gradio developers | Download the files and read app.py | Studying how a model demo is wired up in Gradio |
| Education | Students | Run a copy with Python 3.10 on their own machine | Following the listed steps from download to launch |
Skip it if you want a hosted service with an API, since this is an app you open or run yourself.
SmolVLM runs in these places.
| Use case | Who | What they get back |
|---|---|---|
| Try it online | Anyone with a browser | The Gradio demo running from the Space |
| Run it locally | Developers with Python 3.10 | A copy of the app started from app.py |
| Read the code | Learners | The main file, a requirements list and the example images |
Online use needs only a browser. A local copy needs a few things first.
pip install -U huggingface_hub hf download HuggingFaceTB/SmolVLM2 --repo-type space --local-dir SmolVLM2 cd SmolVLM2 pip install gradio==5.38.2 pip install -r requirements.txt python app.py
Online, open the Space's page and use the demo in your tab. On your own computer, start it from the folder with the command below.
python app.py
| Tool | What it does |
|---|---|
| python app.py | Starts the Gradio app from the main file |
| pip install -r requirements.txt | Installs the packages the app needs |
| hf download | Fetches the Space's files into a local folder |
You download the Space with the hf command, install Gradio 5.38.2 and the listed packages, then run python app.py. The demo starts from your local copy of the files.
If you are new, open the Space's page and look at the example images it ships with. Running it online needs no setup, so start there before you try a local copy.
If you know Gradio, the setup is plain: one main file, a requirements list, Python 3.10 and Gradio 5.38.2. A local copy pins that same version. The Space itself uses zero-a10g hardware at Hugging Face, so a local run depends on your own machine.
It is a single Gradio demo, so what you can do is limited to what its page offers.
A Gradio demo from HuggingFaceTB for the SmolVLM2-2.2B-Instruct model, with example images included, that runs online in the browser or on your computer with Python 3.10.
Made by HuggingFaceTB 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.
What it is: SmolVLM is a Gradio demo that HuggingFaceTB published as a Hugging Face Space. It names the HuggingFaceTB/SmolVLM2-2.2B-Instruct model, and its repository holds a folder of example images beside app.py. At Hugging Face it runs on zero-a10g hardware.
Who it suits: People who want to try the SmolVLM2 model in a browser, and developers who want the demo's files to read or run themselves.
Industry | Who uses it | How they use it | Example
Machine learning | Model testers | Open the Space to try the model it names | Looking at how the model handles the example images
Software development | Gradio developers | Download the files and read app.py | Studying how a model demo is wired up in Gradio
Education | Students | Run a copy with Python 3.10 on their own machine | Following the listed steps from download to launch
Skip it if you want a hosted service with an API, since this is an app you open or run yourself.
Where to use it: SmolVLM runs in these places.
Use case | Who | What they get back
Try it online | Anyone with a browser | The Gradio demo running from the Space
Run it locally | Developers with Python 3.10 | A copy of the app started from app.py
Read the code | Learners | The main file, a requirements list and the example images
How to set it up: Online use needs only a browser. A local copy needs a few things first.
pip install -U huggingface_hub
hf download HuggingFaceTB/SmolVLM2 --repo-type space --local-dir SmolVLM2
cd SmolVLM2
pip install gradio==5.38.2
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page and use the demo in your tab. On your own computer, start it from the folder with the command below.
python app.py
Tool | What it does
python app.py | Starts the Gradio app from the main file
pip install -r requirements.txt | Installs the packages the app needs
hf download | Fetches the Space's files into a local folder
Example: You download the Space with the hf command, install Gradio 5.38.2 and the listed packages, then run python app.py. The demo starts from your local copy of the files.
For newcomers and experts: If you are new, open the Space's page and look at the example images it ships with. Running it online needs no setup, so start there before you try a local copy.
If you know Gradio, the setup is plain: one main file, a requirements list, Python 3.10 and Gradio 5.38.2. A local copy pins that same version. The Space itself uses zero-a10g hardware at Hugging Face, so a local run depends on your own machine.
Open the Space or run app.py
Gradio serves the demo
You use it in your browser
Good to know: It is a single Gradio demo, so what you can do is limited to what its page offers.
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.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| SmolVLM This page | 84 | gradio | apache-2.0 | |
| FLUX.1 [dev]Shares gradio | 9,583 | gradio | mit | |
| InstantIDShares gradio | 3,659 | gradio | apache-2.0 | |
| Chat With Janus-Pro-7BShares gradio | 2,036 | gradio | mit | |
| PhotoMakerShares gradio | 1,960 | gradio | apache-2.0 | |
| Z Image TurboShares gradio | 1,940 | gradio | apache-2.0 |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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