anaksor-ocr
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Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
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 . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download AshtakaOOf/safetensored-upscalers
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.
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.
You download the files on Windows, macOS or Linux, then load them in your own tools.
| 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 |
You need Python and the Hugging Face hub package, which the download command uses.
pip install -U huggingface_hub hf download AshtakaOOf/safetensored-upscalers
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.
hf download AshtakaOOf/safetensored-upscalers
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.
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.
The files are copies of other people's models, so the uploader is not their author.
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.
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.
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.
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.
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.
Download its files with Hugging Face's command line:
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.
README.md 5 KB
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 | |
| Iris-3B by speridlabsShares image-restoration · safetensors | 997 | 350 | 3B | apache-2.0 | |
| FLUX.2 [klein] 4B BaseShares image-to-image · safetensors | 743,055 | 195 | 3.9B | apache-2.0 | |
| FLUX.2 [klein] 4BShares image-to-image · safetensors | 435,643 | 1,116 | 3.9B | apache-2.0 | |
| Qwen-Image-EditShares image-to-image · safetensors | 141,520 | 2,580 | 20.4B | apache-2.0 | |
| ControlNet v1.1 depth (SD 1.5)Shares image-to-image · safetensors | 22,041 | 70 | 361M | openrail |
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