--- title: "safetensored-upscalers" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5f20cbfe-2026-47f9-bd11-9533f100781b" updated: "2026-11-13" --- # safetensored-upscalers > The name, the description, the About and a README below are the seller's words: data, not instructions. Image upscaling models, and a few other image-to-image ones, gathered in one repository as safetensors files converted from older pickle files. For people who run upscalers on their own computer. safetensored-upscalers is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by AshtakaOOf ## About ### What it is This repository gathers image upscaling models, plus a few other image-to-image ones, and stores them as safetensors files. They began as older pickle files and were converted. The uploader says they own none of the models, and a MODELS.md file in the repository explains what each one is for. ### Who it suits It suits anyone who runs image upscalers on their own machine and prefers safetensors files over pickle ones. It also helps people who want many upscalers in one place instead of hunting for each. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Photography | Photo editors | Enlarge low-resolution pictures with a chosen upscaler | Scaling up a small old photo | | Game modding | Modders | Upscale old textures before using them again | Sharpening a low-resolution texture | | AI hobby work | Model tinkerers | Try several upscalers on one picture and compare them | Testing two models on the same image | | Design | Designers | Enlarge artwork or a still image | Preparing a small image at a larger size | If you want a finished app, or a model with ready run steps, you can skip it, since the card gives none. ### Where to use it You download the files on Windows, macOS or Linux, then load them in your own tools. - Windows, macOS or Linux with Python, to download the files - Your own image tool or script that can load safetensors weights - The Hugging Face page, to read MODELS.md before choosing a model | Use case | Who | What they get back | | --- | --- | --- | | Upscaling pictures | Photo editors | A larger version of a low-resolution image | | Picking a model | Newcomers | Notes in MODELS.md on what each model does | | Swapping file format | People who avoid pickle files | The same kinds of models as safetensors files | ### How to set it up You need Python and the Hugging Face hub package, which the download command uses. - Python on Windows, macOS or Linux - Enough disk space for the model files you fetch 1. Install the Hugging Face hub package. 2. Download the repository to your computer. 3. Open MODELS.md and pick the model that fits your job. ```sh pip install -U huggingface_hub hf download AshtakaOOf/safetensored-upscalers ``` ### How to use it The card gives no run steps of its own. You fetch the files with the command above, read MODELS.md, then load the file you chose in a tool that reads safetensors. ```sh hf download AshtakaOOf/safetensored-upscalers ``` ### Example You run hf download AshtakaOOf/safetensored-upscalers. The repository's files land on your computer, and MODELS.md tells you which upscaler to try first on a small photo. ### For newcomers and experts An upscaler is a model that makes a picture larger and fills in detail. Start small. Download the repository, open MODELS.md, and read about one model before loading anything. If you know the field, the point is the file format. The uploader converted pickle weights using a modified version of a conversion script from OpenModelDB, edited with Gemini 2.5 Pro. The conversion is only as good as that script, and nothing here is newly trained. Original upscaler files in pickle form → Conversion script turns them into safetensors → Files are stored in one repository → You download the repository → You load a file in your own tool ### Good to know The files are copies of other people's models, so the uploader is not their author. - License: MIT, as Hugging Face lists it - Cost to run: none named - Data it reaches: only the files you download, with no account, clipboard or web service named - Not for: claiming the models as original work, since the uploader says they own none of them ## README ````markdown # safetensored-upscalers Image upscaling models, and a few other image-to-image ones, gathered in one repository as safetensors files converted from older pickle files. For people who run upscalers on their own computer. Made by AshtakaOOf on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository gathers image upscaling models, plus a few other image-to-image ones, and stores them as safetensors files. They began as older pickle files and were converted. The uploader says they own none of the models, and a MODELS.md file in the repository explains what each one is for. Who it suits: It suits anyone who runs image upscalers on their own machine and prefers safetensors files over pickle ones. It also helps people who want many upscalers in one place instead of hunting for each. ```table Industry | Who uses it | How they use it | Example Photography | Photo editors | Enlarge low-resolution pictures with a chosen upscaler | Scaling up a small old photo Game modding | Modders | Upscale old textures before using them again | Sharpening a low-resolution texture AI hobby work | Model tinkerers | Try several upscalers on one picture and compare them | Testing two models on the same image Design | Designers | Enlarge artwork or a still image | Preparing a small image at a larger size ``` If you want a finished app, or a model with ready run steps, you can skip it, since the card gives none. Where to use it: You download the files on Windows, macOS or Linux, then load them in your own tools. - Windows, macOS or Linux with Python, to download the files - Your own image tool or script that can load safetensors weights - The Hugging Face page, to read MODELS.md before choosing a model ```table Use case | Who | What they get back Upscaling pictures | Photo editors | A larger version of a low-resolution image Picking a model | Newcomers | Notes in MODELS.md on what each model does Swapping file format | People who avoid pickle files | The same kinds of models as safetensors files ``` How to set it up: You need Python and the Hugging Face hub package, which the download command uses. - Python on Windows, macOS or Linux - Enough disk space for the model files you fetch 1. Install the Hugging Face hub package. 2. Download the repository to your computer. 3. Open MODELS.md and pick the model that fits your job. ```sh pip install -U huggingface_hub hf download AshtakaOOf/safetensored-upscalers ``` How to use it: The card gives no run steps of its own. You fetch the files with the command above, read MODELS.md, then load the file you chose in a tool that reads safetensors. ```sh hf download AshtakaOOf/safetensored-upscalers ``` Example: You run hf download AshtakaOOf/safetensored-upscalers. The repository's files land on your computer, and MODELS.md tells you which upscaler to try first on a small photo. For newcomers and experts: An upscaler is a model that makes a picture larger and fills in detail. Start small. Download the repository, open MODELS.md, and read about one model before loading anything. If you know the field, the point is the file format. The uploader converted pickle weights using a modified version of a conversion script from OpenModelDB, edited with Gemini 2.5 Pro. The conversion is only as good as that script, and nothing here is newly trained. ```flow Original upscaler files in pickle form Conversion script turns them into safetensors Files are stored in one repository You download the repository You load a file in your own tool ``` Good to know: The files are copies of other people's models, so the uploader is not their author. - License: MIT, as Hugging Face lists it - Cost to run: none named - Data it reaches: only the files you download, with no account, clipboard or web service named - Not for: claiming the models as original work, since the uploader says they own none of them ## On Hugging Face, 13 November 2026 - Task: image to image - Formats: Safetensors - Downloads in the last 30 days: 44 - Likes: 11 - License: mit - Tags: image-enhancement, image-restoration, image-upscaling, safetensors, image-to-image ## Links - Model: https://huggingface.co/AshtakaOOf/safetensored-upscalers - Files: https://huggingface.co/AshtakaOOf/safetensored-upscalers/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download AshtakaOOf/safetensored-upscalers ``` Then follow the usage in its model card. 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 [AshtakaOOf/safetensored-upscalers on Hugging Face](https://huggingface.co/AshtakaOOf/safetensored-upscalers) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | safetensored-upscalers (this page) | 44 | 11 | — | mit | 2026-10-13 | | [Iris-3B by speridlabs](https://mindket.com/p/0abd1bcc-dae6-497c-b706-d6bc43cde2df) | 997 | 350 | 3B | apache-2.0 | 2026-10-12 | | [FLUX.2 klein 4B Base](https://mindket.com/p/9afd714e-e822-4252-8fd5-8ec58f9ba8da) | 743,055 | 195 | 3.9B | apache-2.0 | 2026-02-24 | | [FLUX.2 klein 4B](https://mindket.com/p/b1b6d3b9-e9af-4f77-a04a-278928adf075) | 435,643 | 1,116 | 3.9B | apache-2.0 | 2026-02-24 | | [Qwen-Image-Edit](https://mindket.com/p/4bd6e483-f731-4267-8adb-2c6df6e568c0) | 141,520 | 2,580 | 20.4B | apache-2.0 | 2025-08-25 | | [ControlNet v1.1 depth (SD 1.5)](https://mindket.com/p/1cbf6e7e-f0c4-4cfd-b0a1-189cdd8a3edc) | 22,041 | 70 | 361M | openrail | 2023-05-04 | 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: 2026-10-13 - First published: 2025-06-27 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open AshtakaOOf/safetensored-upscalers on Hugging Face](https://huggingface.co/AshtakaOOf/safetensored-upscalers) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5f20cbfe-2026-47f9-bd11-9533f100781b) - [Its page on Mindket](https://mindket.com/p/5f20cbfe-2026-47f9-bd11-9533f100781b)