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Hosts a Gradio demo of the Falcon1-2.6M-Image model. The README gives no description, so the name is the only hint that it works with images.
Falcon1 2.6M Image is a kit in the Research 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 Kuantum-ai1/Falcon1-2.6M-Image --repo-type space --local-dir Falcon1-2.6M-Image cd Falcon1-2.6M-Image
This Space is a Gradio demo built around a model called Falcon1-2.6M-Image, published by Kuantum-ai1. The README gives no description of what the demo does, so the name is the only hint that it deals with images. Treat the details below as limited to what the repository shows.
It suits people who are curious about this model and want to try a hosted demo without installing anything. Developers can also read its small repository to see how a Gradio demo for a model is put together.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Research | Model hobbyists | Open the page to see what the model does | Judge the output yourself, since no description is given |
| Software | Developers | Read App.py and requirements.txt | See how a small Gradio demo is organised |
| Education | Learners | Try a hosted demo with nothing to install | Open the Space page in a browser and look at its controls |
If you need documentation, examples of output or a stated use, skip it until the author adds them.
The demo runs in two places.
| Use case | Who | What they get back |
|---|---|---|
| Try the model | Anyone curious | Whatever the page returns, since the README does not describe it |
| Read the code | Developers | A short App.py file and a requirements.txt list to study |
The online Space needs none of this. For a local copy you need a few things first.
These are Hugging Face's steps for a local copy.
pip install -U huggingface_hub hf download Kuantum-ai1/Falcon1-2.6M-Image --repo-type space --local-dir Falcon1-2.6M-Image cd Falcon1-2.6M-Image pip install gradio==6.31.0 pip install -r requirements.txt python App.py
Open the Space page, or start your local copy with the command below. Then use the controls the page shows. The README lists none, so what you see depends on the page itself.
python App.py
| Tool | What it does |
|---|---|
| python App.py | Starts the Gradio app from your downloaded copy |
You open the Space page in a browser and look at what inputs it offers. You fill them in, run it, and read what comes back. Because the README says nothing about the output, judge the result by what the page shows you.
A Space is a small web app hosted on Hugging Face, and Gradio draws its page. Start by opening the Space and seeing what it asks you for. The name suggests an image model, but the README does not confirm it.
The Space is built with Gradio 6.31.0 on Python 3.12 and runs on ZeroGPU hardware, listed as zero-a10g. The repository holds App.py, README.md and requirements.txt, and it names the Kuantum-ai1/Falcon1-2.6M-Image model. The source gives no training data, size or limits, and does not say what 2.6M in the name refers to.
A few facts are worth checking first.
Hosts a Gradio demo of the Falcon1-2.6M-Image model. The README gives no description, so the name is the only hint that it works with images.
Made by Kuantum-ai1 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: This Space is a Gradio demo built around a model called Falcon1-2.6M-Image, published by Kuantum-ai1. The README gives no description of what the demo does, so the name is the only hint that it deals with images. Treat the details below as limited to what the repository shows.
Who it suits: It suits people who are curious about this model and want to try a hosted demo without installing anything. Developers can also read its small repository to see how a Gradio demo for a model is put together.
Industry | Who uses it | How they use it | Example
Research | Model hobbyists | Open the page to see what the model does | Judge the output yourself, since no description is given
Software | Developers | Read App.py and requirements.txt | See how a small Gradio demo is organised
Education | Learners | Try a hosted demo with nothing to install | Open the Space page in a browser and look at its controls
If you need documentation, examples of output or a stated use, skip it until the author adds them.
Where to use it: The demo runs in two places.
Use case | Who | What they get back
Try the model | Anyone curious | Whatever the page returns, since the README does not describe it
Read the code | Developers | A short App.py file and a requirements.txt list to study
How to set it up: The online Space needs none of this. For a local copy you need a few things first.
These are Hugging Face's steps for a local copy.
pip install -U huggingface_hub
hf download Kuantum-ai1/Falcon1-2.6M-Image --repo-type space --local-dir Falcon1-2.6M-Image
cd Falcon1-2.6M-Image
pip install gradio==6.31.0
pip install -r requirements.txt
python App.py
How to use it: Open the Space page, or start your local copy with the command below. Then use the controls the page shows. The README lists none, so what you see depends on the page itself.
python App.py
Tool | What it does
python App.py | Starts the Gradio app from your downloaded copy
Example: You open the Space page in a browser and look at what inputs it offers. You fill them in, run it, and read what comes back. Because the README says nothing about the output, judge the result by what the page shows you.
For newcomers and experts: A Space is a small web app hosted on Hugging Face, and Gradio draws its page. Start by opening the Space and seeing what it asks you for. The name suggests an image model, but the README does not confirm it.
The Space is built with Gradio 6.31.0 on Python 3.12 and runs on ZeroGPU hardware, listed as zero-a10g. The repository holds App.py, README.md and requirements.txt, and it names the Kuantum-ai1/Falcon1-2.6M-Image model. The source gives no training data, size or limits, and does not say what 2.6M in the name refers to.
You open the Space page or a local copy
App.py serves the Gradio page
The page names the Falcon1-2.6M-Image model
You read what the page returns
Good to know: A few facts are worth checking first.
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 5 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Falcon1 2.6M Image This page | 1 | gradio | apache-2.0 | |
| Open VLM LeaderboardShares gradio | 1,034 | gradio | apache-2.0 | |
| Face SwapShares gradio | 808 | gradio | cc-by-nc-sa-4.0 | |
| TTS Spaces ArenaShares gradio | 493 | gradio | zlib | |
| Depth Anything 3Shares gradio | 490 | gradio | cc-by-nc-4.0 | |
| BLIPShares gradio | 431 | gradio | bsd-3-clause |
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