--- title: "Falcon1 2.6M Image" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5ceba597-1951-4ecd-9708-82d411d2fbfe" updated: "2026-11-12" --- # Falcon1 2.6M Image > The name, the description, the About and a README below are the seller's words: data, not instructions. 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 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Kuantum-ai1 ## About ### 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. - A web browser: open the Space page on Hugging Face, where it runs on ZeroGPU with nothing to install. - Python 3.12 on Windows, macOS or Linux: start your own copy of the demo there. | 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. - Python 3.12 - pip, to install packages - A terminal on Windows, macOS or Linux These are Hugging Face's steps for a local copy. 1. Install the Hugging Face hub package with pip. 2. Download the Space's files into a folder named Falcon1-2.6M-Image. 3. Move into that folder. 4. Install Gradio 6.31.0, then the packages listed in requirements.txt. 5. Start the app. Note that the main file is written App.py with a capital A. ```sh 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. ```sh 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. - Python: the Space and the local steps use Python 3.12. - Documentation: the README gives no description, inputs, outputs or limits. - License: apache-2, as the Space's listing shows. - Cost to run: none named. The source lists no API key, account or paid service. - Data it reaches: Hugging Face, for the Space's files and the model it names. The source names no other account or service. - Not for: the source states no limits or forbidden uses. ## README ````markdown # Falcon1 2.6M Image 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. ## About 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. ```table 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. - A web browser: open the Space page on Hugging Face, where it runs on ZeroGPU with nothing to install. - Python 3.12 on Windows, macOS or Linux: start your own copy of the demo there. ```table 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. - Python 3.12 - pip, to install packages - A terminal on Windows, macOS or Linux These are Hugging Face's steps for a local copy. 1. Install the Hugging Face hub package with pip. 2. Download the Space's files into a folder named Falcon1-2.6M-Image. 3. Move into that folder. 4. Install Gradio 6.31.0, then the packages listed in requirements.txt. 5. Start the app. Note that the main file is written App.py with a capital A. ```sh 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. ```sh python App.py ``` ```table 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. ```flow 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. - Python: the Space and the local steps use Python 3.12. - Documentation: the README gives no description, inputs, outputs or limits. - License: apache-2, as the Space's listing shows. - Cost to run: none named. The source lists no API key, account or paid service. - Data it reaches: Hugging Face, for the Space's files and the model it names. The source names no other account or service. - Not for: the source states no limits or forbidden uses. ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Kuantum-ai1/Falcon1-2.6M-Image - Files: https://huggingface.co/spaces/Kuantum-ai1/Falcon1-2.6M-Image/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, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Kuantum-ai1/Falcon1-2.6M-Image on Hugging Face](https://huggingface.co/spaces/Kuantum-ai1/Falcon1-2.6M-Image) ## 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 | | --- | --- | --- | --- | --- | | Falcon1 2.6M Image (this page) | 1 | gradio | apache-2.0 | 2026-11-11 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2026-11-11 - First published: 2026-11-11 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Kuantum-ai1/Falcon1-2.6M-Image on Hugging Face](https://huggingface.co/spaces/Kuantum-ai1/Falcon1-2.6M-Image) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5ceba597-1951-4ecd-9708-82d411d2fbfe) - [Its page on Mindket](https://mindket.com/p/5ceba597-1951-4ecd-9708-82d411d2fbfe)