DeepSeek-R1-GGUF
unsloth · Kit
GGUF copies of the 671B DeepSeek-R1 reasoning model, with 1.58-bit and 2-bit dynamic quants, for running it in llama.cpp on a local machine with enough memory.
A static web page front end for the dalle-mini model, which by its name is an image generator driven by text. The README gives no description, so its exact controls are not documented.
DALL·E mini is a kit in the Productivity 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 dalle-mini/dalle-mini --repo-type space --local-dir dalle-mini cd dalle-mini
This Space is a static web page tied to the dalle-mini model. By the name and that model, it looks like a small image generator that turns text into pictures. The README gives no description, so treat that as a reasonable reading rather than a documented fact.
It suits people who want to try a small text to image model in a browser, and web developers who want a short static page to read.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Creative work | Illustrators, writers | Try picture ideas from a short text | Typing a scene and looking at what comes back |
| Education | Students, teachers | Show what an image model does | Running one prompt in front of a class |
| Web development | Beginners | Read a page made of HTML and one script | Opening index.html next to html2canvas.js |
Skip it if you need documented settings or output sizes, because the source gives none.
It runs in a browser, on Hugging Face or from a downloaded copy.
| Use case | Who | What they get back |
|---|---|---|
| Generate an image from text | Anyone | A picture made from your words |
| Read the page's code | Beginners | A small example with one HTML file and one script |
Online use needs nothing. A local copy needs Python only to fetch the files, because the page is static.
pip install -U huggingface_hub hf download dalle-mini/dalle-mini --repo-type space --local-dir dalle-mini cd dalle-mini
Open the page and look for a place to type a text description. The README shows no commands or options, so follow whatever the page offers. In a local copy, double click index.html once the download is done.
You could type a short description of a scene and wait for pictures to appear. The README gives no sample prompt or output, so the speed, the number of images and their quality are not documented.
If you are new, open the online page and try one short description. Keep it simple, a single object in a single place, and see what you get.
If you know the field, the repository has no Python app and only a page plus html2canvas.js, so the image model itself must run somewhere else, most likely reached from the browser. The source does not say where, which hardware serves it or how requests are queued.
The page is a front end and the README is silent on the rest.
A static web page front end for the dalle-mini model, which by its name is an image generator driven by text. The README gives no description, so its exact controls are not documented.
Made by dalle-mini 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 static web page tied to the dalle-mini model. By the name and that model, it looks like a small image generator that turns text into pictures. The README gives no description, so treat that as a reasonable reading rather than a documented fact.
Who it suits: It suits people who want to try a small text to image model in a browser, and web developers who want a short static page to read.
Industry | Who uses it | How they use it | Example
Creative work | Illustrators, writers | Try picture ideas from a short text | Typing a scene and looking at what comes back
Education | Students, teachers | Show what an image model does | Running one prompt in front of a class
Web development | Beginners | Read a page made of HTML and one script | Opening index.html next to html2canvas.js
Skip it if you need documented settings or output sizes, because the source gives none.
Where to use it: It runs in a browser, on Hugging Face or from a downloaded copy.
Use case | Who | What they get back
Generate an image from text | Anyone | A picture made from your words
Read the page's code | Beginners | A small example with one HTML file and one script
How to set it up: Online use needs nothing. A local copy needs Python only to fetch the files, because the page is static.
pip install -U huggingface_hub
hf download dalle-mini/dalle-mini --repo-type space --local-dir dalle-mini
cd dalle-mini
How to use it: Open the page and look for a place to type a text description. The README shows no commands or options, so follow whatever the page offers. In a local copy, double click index.html once the download is done.
Example: You could type a short description of a scene and wait for pictures to appear. The README gives no sample prompt or output, so the speed, the number of images and their quality are not documented.
For newcomers and experts: If you are new, open the online page and try one short description. Keep it simple, a single object in a single place, and see what you get.
If you know the field, the repository has no Python app and only a page plus html2canvas.js, so the image model itself must run somewhere else, most likely reached from the browser. The source does not say where, which hardware serves it or how requests are queued.
Open the page
Type a description
Page sends it to the model
Images come back
Good to know: The page is a front end and the README is silent on the rest.
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 |
|---|---|---|---|---|
| DALL·E mini This page | 5,750 | static | apache-2.0 | |
| Kokoro Text-to-Speech (WebGPU)Shares static | 369 | static | apache-2.0 | |
| DALL·E mini by flax-communityShares static | 342 | static | apache-2.0 | |
| Supertonic 3 (TTS)Shares static | 291 | static | openrail | |
| XortronDesktopShares static | 30 | static | wtfpl | |
| AI Image UpscalerShares static | 21 | static | mit |
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.
unsloth · Kit
GGUF copies of the 671B DeepSeek-R1 reasoning model, with 1.58-bit and 2-bit dynamic quants, for running it in llama.cpp on a local machine with enough memory.
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