anaksor-ocr
Sokheng · Kit
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…
A Gradio demo built around the InstantX/InstantID model, with a Stable Diffusion XL pipeline, ControlNet depth and canny models and style templates, online or on your computer.
InstantID 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 InstantX/InstantID --repo-type space --local-dir InstantID cd InstantID
InstantID is a Gradio demo that InstantX published as a Hugging Face Space. It names the InstantX/InstantID model along with ControlNet depth and canny models, an LCM LoRA for SDXL and a Depth Anything model. The repository holds an SDXL pipeline file, a style template file and folders for examples, models and an IP adapter.
People who want to try the InstantID model in a browser, and developers who want a larger image generation demo to read or run themselves.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Creative work | Image makers | Open the Space to try the model it names | Looking at what the demo offers before running anything locally |
| Machine learning | Researchers | Download the files and read the pipeline code | Studying how the model, ControlNet and the IP adapter are put together |
| Software development | Gradio developers | Read app.py and the style template file | Seeing how a larger image demo is laid out in Gradio |
Skip it if you want a hosted service with an API, since this is an app you open or run yourself.
InstantID runs in these places.
| Use case | Who | What they get back |
|---|---|---|
| Try it online | Anyone with a browser | The Gradio demo running from the Space |
| Run it locally | Developers with Python | A copy of the app started from app.py |
| Read the code | Learners | The pipeline file, style templates, examples and the IP adapter folder |
Online use needs only a browser. A local copy needs a few things first.
pip install -U huggingface_hub hf download InstantX/InstantID --repo-type space --local-dir InstantID cd InstantID pip install gradio==4.40.0 pip install -r requirements.txt python app.py
Online, open the Space's page and use the demo in your tab. On your own computer, start it from the folder with the command below.
python app.py
| Tool | What it does |
|---|---|
| python app.py | Starts the Gradio app from the main file |
| pip install -r requirements.txt | Installs the packages the app needs |
| hf download | Fetches the Space's files into a local folder |
You download the Space with the hf command, install Gradio 4.40.0 and the listed packages, then run python app.py. The demo starts from your local copy of the files.
If you are new, open the Space's page and look at what the demo offers. Running it online needs no setup, so start there before you try a local copy.
If you know the field, the repository bundles an SDXL pipeline file for InstantID, an IP adapter folder and a torchhub folder, and it names depth and canny ControlNet checkpoints. A local copy pins Gradio 4.40.0. The Space itself uses zero-a10g hardware at Hugging Face, so a local run depends on your own machine.
It is a single Gradio demo, so what you can do is limited to what its page offers.
A Gradio demo built around the InstantX/InstantID model, with a Stable Diffusion XL pipeline, ControlNet depth and canny models and style templates, online or on your computer.
Made by InstantX 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: InstantID is a Gradio demo that InstantX published as a Hugging Face Space. It names the InstantX/InstantID model along with ControlNet depth and canny models, an LCM LoRA for SDXL and a Depth Anything model. The repository holds an SDXL pipeline file, a style template file and folders for examples, models and an IP adapter.
Who it suits: People who want to try the InstantID model in a browser, and developers who want a larger image generation demo to read or run themselves.
Industry | Who uses it | How they use it | Example
Creative work | Image makers | Open the Space to try the model it names | Looking at what the demo offers before running anything locally
Machine learning | Researchers | Download the files and read the pipeline code | Studying how the model, ControlNet and the IP adapter are put together
Software development | Gradio developers | Read app.py and the style template file | Seeing how a larger image demo is laid out in Gradio
Skip it if you want a hosted service with an API, since this is an app you open or run yourself.
Where to use it: InstantID runs in these places.
Use case | Who | What they get back
Try it online | Anyone with a browser | The Gradio demo running from the Space
Run it locally | Developers with Python | A copy of the app started from app.py
Read the code | Learners | The pipeline file, style templates, examples and the IP adapter folder
How to set it up: Online use needs only a browser. A local copy needs a few things first.
pip install -U huggingface_hub
hf download InstantX/InstantID --repo-type space --local-dir InstantID
cd InstantID
pip install gradio==4.40.0
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page and use the demo in your tab. On your own computer, start it from the folder with the command below.
python app.py
Tool | What it does
python app.py | Starts the Gradio app from the main file
pip install -r requirements.txt | Installs the packages the app needs
hf download | Fetches the Space's files into a local folder
Example: You download the Space with the hf command, install Gradio 4.40.0 and the listed packages, then run python app.py. The demo starts from your local copy of the files.
For newcomers and experts: If you are new, open the Space's page and look at what the demo offers. Running it online needs no setup, so start there before you try a local copy.
If you know the field, the repository bundles an SDXL pipeline file for InstantID, an IP adapter folder and a torchhub folder, and it names depth and canny ControlNet checkpoints. A local copy pins Gradio 4.40.0. The Space itself uses zero-a10g hardware at Hugging Face, so a local run depends on your own machine.
Open the Space or run app.py
Gradio serves the demo
You use it in your browser
Good to know: It is a single Gradio demo, so what you can do is limited to what its page offers.
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 |
|---|---|---|---|---|
| InstantID This page | 3,659 | gradio | apache-2.0 | |
| FLUX.1 [dev]Shares gradio | 9,583 | gradio | mit | |
| Chat With Janus-Pro-7BShares gradio | 2,036 | gradio | mit | |
| PhotoMakerShares gradio | 1,960 | gradio | apache-2.0 | |
| Z Image TurboShares gradio | 1,940 | gradio | apache-2.0 | |
| InstantMeshShares gradio | 1,609 | gradio | apache-2.0 |
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.
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