--- title: "Tessera Pixel Studio" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/49e11270-db9d-42fd-b750-1e50aef3c691" updated: "2026-11-12" --- # Tessera Pixel Studio > The name, the description, the About and a README below are the seller's words: data, not instructions. Paints 16 by 16 pixel art from a text prompt and lets you watch the sprite appear step by step, then edit it. Built around a small diffusion model. Free for personal, research and education use only. Tessera Pixel Studio is a kit in the Productivity 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 thejagstudio ## About ### What it is Tessera Pixel Studio makes small pixel art sprites from text. The engine is Tessera, a language model with 47.6M parameters that uses masked diffusion. It draws a sprite on a 16 by 16 grid and gives each pixel one of 512 learned palette colors. The Space adds a full studio with live generation, a gallery and an editor. ### Who it suits It suits game hobbyists, pixel artists and students who want sprites or want to see how a small diffusion model works, and researchers who study masked diffusion. The license allows non-commercial use only. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Game development | Hobbyist developers | Generate small sprites for personal projects | Make a batch of character sprites | | Pixel art | Artists | Start from a generated sprite and edit it | Repaint part of a sprite with the Magic brush | | Education | Teachers and students | Watch a diffusion model build an image step by step | Switch to the confidence view and discuss it | | Research | ML researchers | Study a masked-diffusion model of images | Read the technical write-up | You can skip it if you need sprites for a paid game or app, since commercial use needs a separate license from the author. ### Where to use it - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python 3.12 | Use case | Who | What they get back | | --- | --- | --- | | Generate sprites | Game hobbyists | One to sixteen sprites per batch from a prompt | | Edit a sprite | Pixel artists | A sprite repainted where you marked it | | Learn how it works | Students | A live view of the picture forming over the steps | | Export | Anyone | A 512 pixel PNG of a chosen sprite | ### How to set it up The online page needs nothing. A local copy needs Python 3.12 and the packages in requirements.txt. - A web browser for the online demo - Python 3.12 for a local copy - The packages listed in requirements.txt 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 6.29.1 and the listed packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download thejagstudio/tessera-pixel-studio --repo-type space --local-dir tessera-pixel-studio cd tessera-pixel-studio pip install gradio==6.29.1 pip install -r requirements.txt python app.py ``` ### How to use it Start the app from its folder, or open the Space online. Type a prompt, choose how many sprites you want and generate. Watch them form, then open one in the detail viewer or the pixel editor to refine it. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Live unmasking | Streams every step so you watch the sprite appear, with Ghost and Confidence views | | Batches | Makes 1 to 16 sprites with a seed lock and sampler settings | | Explore gallery | Shows 56 curated sprites that replay their own generation on hover | | Detail viewer | Offers a step scrubber, palette breakdown, PNG export, variations and Remix | | Pixel Editor | Paints with the model's colors and repaints marked pixels with the Magic brush | | How it works | Opens a technical write-up of the model and its training | ### Example You type a prompt for a small character and generate a batch of four. You watch the pixels fill in, pick the sprite you like, mark one patch with the Magic brush and let the model repaint it. Then you export it as a PNG. ### For newcomers and experts If you are new to this, generate one batch and open the Explore gallery. Hover over a sprite to see how it was formed, then try your own prompt. If you know the field, the design does without a VAE, a latent space and autoregressive decoding. Generation begins with every pixel hidden, then reveals all 256 together over roughly 16 passes. Text conditioning comes from a frozen CLIP text encoder, and training used a pixel art dataset released by another author on one GPU. You type a prompt → The canvas starts fully masked → About 16 parallel unmasking steps run → Each pixel gets a palette color → You edit or export the sprite ### Good to know The license is CC BY-NC 4.0, so the model, code and generated images are free for education, research and personal projects with credit to the author, Jagrat Patel. The author reports that generated sprites score about as well on a CLIP measure as real ones. CLIP score of sprites | Label | Value | | --- | --- | | Generated sprites | 25.24 score | | Real sprites | 25.28 score | - License: CC BY-NC 4.0 - Cost to run: none named - Data it reaches: the prompts you type, plus model weights loaded from Hugging Face - Not for: paid products, since the model, code and its images need a license for commercial use ## README ````markdown # Tessera Pixel Studio Paints 16 by 16 pixel art from a text prompt and lets you watch the sprite appear step by step, then edit it. Built around a small diffusion model. Free for personal, research and education use only. Made by thejagstudio 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: Tessera Pixel Studio makes small pixel art sprites from text. The engine is Tessera, a language model with 47.6M parameters that uses masked diffusion. It draws a sprite on a 16 by 16 grid and gives each pixel one of 512 learned palette colors. The Space adds a full studio with live generation, a gallery and an editor. Who it suits: It suits game hobbyists, pixel artists and students who want sprites or want to see how a small diffusion model works, and researchers who study masked diffusion. The license allows non-commercial use only. ```table Industry | Who uses it | How they use it | Example Game development | Hobbyist developers | Generate small sprites for personal projects | Make a batch of character sprites Pixel art | Artists | Start from a generated sprite and edit it | Repaint part of a sprite with the Magic brush Education | Teachers and students | Watch a diffusion model build an image step by step | Switch to the confidence view and discuss it Research | ML researchers | Study a masked-diffusion model of images | Read the technical write-up ``` You can skip it if you need sprites for a paid game or app, since commercial use needs a separate license from the author. Where to use it: - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python 3.12 ```table Use case | Who | What they get back Generate sprites | Game hobbyists | One to sixteen sprites per batch from a prompt Edit a sprite | Pixel artists | A sprite repainted where you marked it Learn how it works | Students | A live view of the picture forming over the steps Export | Anyone | A 512 pixel PNG of a chosen sprite ``` How to set it up: The online page needs nothing. A local copy needs Python 3.12 and the packages in requirements.txt. - A web browser for the online demo - Python 3.12 for a local copy - The packages listed in requirements.txt 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 6.29.1 and the listed packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download thejagstudio/tessera-pixel-studio --repo-type space --local-dir tessera-pixel-studio cd tessera-pixel-studio pip install gradio==6.29.1 pip install -r requirements.txt python app.py ``` How to use it: Start the app from its folder, or open the Space online. Type a prompt, choose how many sprites you want and generate. Watch them form, then open one in the detail viewer or the pixel editor to refine it. ```sh python app.py ``` ```table Tool | What it does Live unmasking | Streams every step so you watch the sprite appear, with Ghost and Confidence views Batches | Makes 1 to 16 sprites with a seed lock and sampler settings Explore gallery | Shows 56 curated sprites that replay their own generation on hover Detail viewer | Offers a step scrubber, palette breakdown, PNG export, variations and Remix Pixel Editor | Paints with the model's colors and repaints marked pixels with the Magic brush How it works | Opens a technical write-up of the model and its training ``` Example: You type a prompt for a small character and generate a batch of four. You watch the pixels fill in, pick the sprite you like, mark one patch with the Magic brush and let the model repaint it. Then you export it as a PNG. For newcomers and experts: If you are new to this, generate one batch and open the Explore gallery. Hover over a sprite to see how it was formed, then try your own prompt. If you know the field, the design does without a VAE, a latent space and autoregressive decoding. Generation begins with every pixel hidden, then reveals all 256 together over roughly 16 passes. Text conditioning comes from a frozen CLIP text encoder, and training used a pixel art dataset released by another author on one GPU. ```flow You type a prompt The canvas starts fully masked About 16 parallel unmasking steps run Each pixel gets a palette color You edit or export the sprite ``` Good to know: The license is CC BY-NC 4.0, so the model, code and generated images are free for education, research and personal projects with credit to the author, Jagrat Patel. The author reports that generated sprites score about as well on a CLIP measure as real ones. ```chart Title: CLIP score of sprites Generated sprites: 25.24 score Real sprites: 25.28 score ``` - License: CC BY-NC 4.0 - Cost to run: none named - Data it reaches: the prompts you type, plus model weights loaded from Hugging Face - Not for: paid products, since the model, code and its images need a license for commercial use ## On Hugging Face, 13 November 2026 - Likes: 6 - Built with: gradio - License: cc-by-nc-4.0 ## Links - Space: https://huggingface.co/spaces/thejagstudio/tessera-pixel-studio - Files: https://huggingface.co/spaces/thejagstudio/tessera-pixel-studio/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 [thejagstudio/tessera-pixel-studio on Hugging Face](https://huggingface.co/spaces/thejagstudio/tessera-pixel-studio) ## 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 | | --- | --- | --- | --- | --- | | Tessera Pixel Studio (this page) | 6 | gradio | cc-by-nc-4.0 | 2026-11-09 | | [MOSS-Image Layout Editor](https://mindket.com/p/96569373-5716-4979-ae44-e38feca9ab8f) | 1 | static | apache-2.0 | 2026-10-28 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-11-09 - First published: 2026-11-09 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open thejagstudio/tessera-pixel-studio on Hugging Face](https://huggingface.co/spaces/thejagstudio/tessera-pixel-studio) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/49e11270-db9d-42fd-b750-1e50aef3c691) - [Its page on Mindket](https://mindket.com/p/49e11270-db9d-42fd-b750-1e50aef3c691)