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…
Chats with DeepSeek's Janus-Pro-7B model, which can understand images and also generate them, with a 2x upscaling step on the pictures it makes. It suits people who want to try a multimodal model in the browser.
Chat With Janus-Pro-7B 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 deepseek-ai/Janus-Pro-7B --repo-type space --local-dir Janus-Pro-7B cd Janus-Pro-7B
This Space is a Gradio demo of Janus-Pro-7B from DeepSeek, one model that both understands images and generates them. In this demo, generated pictures are enlarged to twice their size with Real-ESRGAN so they are easier to view. The Space runs on Hugging Face's zero-a10g GPU setting.
It suits people who want to try a model that handles pictures and text together, and developers who want to read how such a demo is built.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| AI research | Researchers and students | Try image understanding and image generation in one model | A student asks about a picture, then asks for a new one. |
| Design | Designers and artists | Generate pictures from a short description and view them upscaled | A designer types a scene and looks at the enlarged result. |
| Software | Developers | Read how a large model and an upscaler are wired into a Gradio page | A developer opens app.py and the janus folder to follow the flow. |
If you need production-grade image quality or a stable API, skip it, because this is a demo.
| Use case | Who | What they get back |
|---|---|---|
| Ask about an image | Anyone | A written answer about the picture you give it |
| Generate an image | Creators | A new picture, enlarged 2x by Real-ESRGAN |
| Run it locally | Developers | The same demo on your own computer, if it can run a 7B model |
pip install -U huggingface_hub hf download deepseek-ai/Janus-Pro-7B --repo-type space --local-dir Janus-Pro-7B cd Janus-Pro-7B pip install gradio==5.13.2 pip install -r requirements.txt python app.py
Open the Space's page, or start the app locally with the command below. Then chat with the model, either by giving it an image to describe or by asking it to make one.
python app.py
| Tool | What it does |
|---|---|
| app.py | The main file, which starts the Gradio page |
| janus | The folder with the model code, going by its name |
| Upsample | The folder for the 2x Real-ESRGAN step, going by its name |
| doge.png and equation.png | Two sample images in the repository |
You give the page the equation.png sample and ask what it shows. The model answers in text about the picture. You can also ask it to generate a new image, which comes back enlarged 2x.
If you are new, open the Space's page and try one of the two sample images. A multimodal model reads pictures and words together, and this one can also draw.
If you know the field, the Space notes that the 2x upscale is applied in this demo only. By the Space's account, the step leaves what a picture shows as it was and only sharpens it a little. The repository holds 41 files, including a weights folder.
Chats with DeepSeek's Janus-Pro-7B model, which can understand images and also generate them, with a 2x upscaling step on the pictures it makes. It suits people who want to try a multimodal model in the browser.
Made by deepseek-ai 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: This Space is a Gradio demo of Janus-Pro-7B from DeepSeek, one model that both understands images and generates them. In this demo, generated pictures are enlarged to twice their size with Real-ESRGAN so they are easier to view. The Space runs on Hugging Face's zero-a10g GPU setting.
Who it suits: It suits people who want to try a model that handles pictures and text together, and developers who want to read how such a demo is built.
Industry | Who uses it | How they use it | Example
AI research | Researchers and students | Try image understanding and image generation in one model | A student asks about a picture, then asks for a new one.
Design | Designers and artists | Generate pictures from a short description and view them upscaled | A designer types a scene and looks at the enlarged result.
Software | Developers | Read how a large model and an upscaler are wired into a Gradio page | A developer opens app.py and the janus folder to follow the flow.
If you need production-grade image quality or a stable API, skip it, because this is a demo.
Where to use it:
Use case | Who | What they get back
Ask about an image | Anyone | A written answer about the picture you give it
Generate an image | Creators | A new picture, enlarged 2x by Real-ESRGAN
Run it locally | Developers | The same demo on your own computer, if it can run a 7B model
How to set it up:
pip install -U huggingface_hub
hf download deepseek-ai/Janus-Pro-7B --repo-type space --local-dir Janus-Pro-7B
cd Janus-Pro-7B
pip install gradio==5.13.2
pip install -r requirements.txt
python app.py
How to use it: Open the Space's page, or start the app locally with the command below. Then chat with the model, either by giving it an image to describe or by asking it to make one.
python app.py
Tool | What it does
app.py | The main file, which starts the Gradio page
janus | The folder with the model code, going by its name
Upsample | The folder for the 2x Real-ESRGAN step, going by its name
doge.png and equation.png | Two sample images in the repository
Example: You give the page the equation.png sample and ask what it shows. The model answers in text about the picture. You can also ask it to generate a new image, which comes back enlarged 2x.
For newcomers and experts: If you are new, open the Space's page and try one of the two sample images. A multimodal model reads pictures and words together, and this one can also draw.
If you know the field, the Space notes that the 2x upscale is applied in this demo only. By the Space's account, the step leaves what a picture shows as it was and only sharpens it a little. The repository holds 41 files, including a weights folder.
You send text or an image
Janus-Pro-7B understands or generates
Generated images go to Real-ESRGAN
The page shows the 2x result
Good to know:
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 |
|---|---|---|---|---|
| Chat With Janus-Pro-7B This page | 2,036 | gradio | mit | |
| FLUX.1 [dev]Shares gradio | 9,583 | gradio | mit | |
| InstantIDShares gradio | 3,659 | gradio | apache-2.0 | |
| 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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