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…
Gives you a pixel character that speaks whatever text you type, using a tiny 1.4M-parameter voice model that runs entirely in your browser with no server and no GPU.
Talking Pixel 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 cfahlgren1/talking-pixel --repo-type space --local-dir talking-pixel cd talking-pixel
Talking Pixel is a pixel character that speaks the text you type. The voice comes from PiVo-1.4M, a small text-to-speech model with about 1.4 million parameters, including its vocoder. It runs entirely in your browser, so there is no server and no GPU. The lip movements follow the model's own phoneme timing.
It suits people who want to hear a tiny voice model speak, and developers who want to see how speech synthesis can run fully on the client.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Web developers | Study how a model runs in a page with WebAssembly and a worker | Read the frontend and vocoder source files |
| Research | Speech researchers | Listen to what a 1.4M-parameter English voice can do | Type a few sentences and judge the quality |
| Games | Indie creators | Look at a pixel character that talks and moves its mouth | See how lip sync is driven by audio level |
| Education | Students | Follow a complete browser-side speech pipeline | Compare it with a server-based voice |
You can skip it if you need a natural voice in several languages, since this is a tiny English voice that can sound metallic.
| Use case | Who | What they get back |
|---|---|---|
| Hear text spoken | Anyone curious | Speech from a pixel character, with lip sync |
| Study the runtime | Developers | A custom ONNX interpreter and a WebAssembly kernel |
| Compare runtimes | Developers | A benchmark page that compares this runtime with onnxruntime-web |
The hosted page needs nothing from you. Downloading a copy needs Python and pip, plus a browser.
pip install -U huggingface_hub hf download cfahlgren1/talking-pixel --repo-type space --local-dir talking-pixel cd talking-pixel
Open the page and type the text you want spoken. The character says it, and playback starts before the whole sentence is synthesized. There is also a benchmark route in the page that compares this runtime with onnxruntime-web.
To work on the project, install the packages and use the scripts below.
npm ci npm run dev npm run check npm run build
| Tool | What it does |
|---|---|
| npm run dev | Runs the project in development mode |
| npm run check | Checks the project |
| npm run build | Builds the page and stamps the real download size into it |
You open the page and type a sentence that holds a number and an abbreviation. The text frontend normalizes them, the model makes the audio, and the pixel character speaks it while its mouth moves with the sound.
If you are new, open the page and type one short sentence. Listen to it, then try a longer one with numbers in it. Expect a slightly robotic voice.
If you know the field, the text frontend is an exact port of the model's Python text code, with number, money, date and initialism handling and a dictionary lookup. The encoder and decoder run on a small ONNX interpreter whose matrix multiplies use a hand-written WebAssembly SIMD kernel. The vocoder is in the style of FARGAN. A Web Worker does the synthesis and sends audio to an AudioWorklet in 160-sample frames. The page is built with SvelteKit and Svelte 5.
The voice is English only and tiny, at 1.4M parameters, so a few sentences can sound metallic. The page needs no onnxruntime-web download.
Gives you a pixel character that speaks whatever text you type, using a tiny 1.4M-parameter voice model that runs entirely in your browser with no server and no GPU.
Made by cfahlgren1 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: Talking Pixel is a pixel character that speaks the text you type. The voice comes from PiVo-1.4M, a small text-to-speech model with about 1.4 million parameters, including its vocoder. It runs entirely in your browser, so there is no server and no GPU. The lip movements follow the model's own phoneme timing.
Who it suits: It suits people who want to hear a tiny voice model speak, and developers who want to see how speech synthesis can run fully on the client.
Industry | Who uses it | How they use it | Example
Software | Web developers | Study how a model runs in a page with WebAssembly and a worker | Read the frontend and vocoder source files
Research | Speech researchers | Listen to what a 1.4M-parameter English voice can do | Type a few sentences and judge the quality
Games | Indie creators | Look at a pixel character that talks and moves its mouth | See how lip sync is driven by audio level
Education | Students | Follow a complete browser-side speech pipeline | Compare it with a server-based voice
You can skip it if you need a natural voice in several languages, since this is a tiny English voice that can sound metallic.
Where to use it:
Use case | Who | What they get back
Hear text spoken | Anyone curious | Speech from a pixel character, with lip sync
Study the runtime | Developers | A custom ONNX interpreter and a WebAssembly kernel
Compare runtimes | Developers | A benchmark page that compares this runtime with onnxruntime-web
How to set it up: The hosted page needs nothing from you. Downloading a copy needs Python and pip, plus a browser.
pip install -U huggingface_hub
hf download cfahlgren1/talking-pixel --repo-type space --local-dir talking-pixel
cd talking-pixel
How to use it: Open the page and type the text you want spoken. The character says it, and playback starts before the whole sentence is synthesized. There is also a benchmark route in the page that compares this runtime with onnxruntime-web.
To work on the project, install the packages and use the scripts below.
npm ci
npm run dev
npm run check
npm run build
Tool | What it does
npm run dev | Runs the project in development mode
npm run check | Checks the project
npm run build | Builds the page and stamps the real download size into it
Example: You open the page and type a sentence that holds a number and an abbreviation. The text frontend normalizes them, the model makes the audio, and the pixel character speaks it while its mouth moves with the sound.
For newcomers and experts: If you are new, open the page and type one short sentence. Listen to it, then try a longer one with numbers in it. Expect a slightly robotic voice.
If you know the field, the text frontend is an exact port of the model's Python text code, with number, money, date and initialism handling and a dictionary lookup. The encoder and decoder run on a small ONNX interpreter whose matrix multiplies use a hand-written WebAssembly SIMD kernel. The vocoder is in the style of FARGAN. A Web Worker does the synthesis and sends audio to an AudioWorklet in 160-sample frames. The page is built with SvelteKit and Svelte 5.
You type some text
The text frontend normalizes it
Encoder and decoder run in a Web Worker
The vocoder streams frames to the AudioWorklet
The pixel character speaks with lip sync
Good to know: The voice is English only and tiny, at 1.4M parameters, so a few sentences can sound metallic. The page needs no onnxruntime-web download.
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 |
|---|---|---|---|---|
| Talking Pixel This page | 2 | static | apache-2.0 | |
| Spark-X2.6-1.7B WebGPUShares in-browser · static | 1 | static | apache-2.0 | |
| SNAP Cloud REST API + Edge-ttsShares text-to-speech | 6 | gradio | apache-2.0 | |
| InferenceSupportShares static | 764 | static | afl-3.0 | |
| HuggyShares static | 463 | static | cc-by-nc-sa-4.0 | |
| Z-Image Lookalike LoRA IndexShares static | 189 | static | apache-2.0 |
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