---
title: "Chat With Janus-Pro-7B"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536"
updated: "2026-11-12"
---

# Chat With Janus-Pro-7B

> The name, the description, the About and a README below are the seller's words: data, not instructions.

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 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by deepseek-ai

## About

### 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

- A web browser, through the Space's page on Hugging Face
- A local copy on Windows, macOS or Linux, using Python

| 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

- Python and pip on Windows, macOS or Linux
- The packages listed in requirements.txt
- Hardware that can run a 7B model, since the hosted Space uses a GPU

1. Install the huggingface\_hub package.
2. Download the Space into a local folder named Janus-Pro-7B.
3. Move into that folder.
4. Install gradio at version 5.13.2.
5. Install the packages listed in requirements.txt.
6. Start the app.

```sh
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.

```sh
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

- The 2x upscaling exists only in this demo
- The hosted Space needs a GPU, so a local run needs capable hardware
- License: mit
- Cost to run: none named
- Data it reaches: the text and images you send to the page

## README

````markdown
# Chat With Janus-Pro-7B

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.

## About

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.

```table
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:

- A web browser, through the Space's page on Hugging Face
- A local copy on Windows, macOS or Linux, using Python

```table
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:

- Python and pip on Windows, macOS or Linux
- The packages listed in requirements.txt
- Hardware that can run a 7B model, since the hosted Space uses a GPU

1. Install the huggingface_hub package.
2. Download the Space into a local folder named Janus-Pro-7B.
3. Move into that folder.
4. Install gradio at version 5.13.2.
5. Install the packages listed in requirements.txt.
6. Start the app.

```sh
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.

```sh
python app.py
```

```table
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.

```flow
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:

- The 2x upscaling exists only in this demo
- The hosted Space needs a GPU, so a local run needs capable hardware
- License: mit
- Cost to run: none named
- Data it reaches: the text and images you send to the page

## On Hugging Face, 13 November 2026

- Likes: 2,036
- Built with: gradio
- License: mit

## Links

- Space: https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B
- Files: https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B/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, 4 KB, downloaded as a zip.

```text
README.md  4 KB
```

## Source

[deepseek-ai/Janus-Pro-7B on Hugging Face](https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B)

## 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 |
| --- | --- | --- | --- | --- |
| Chat With Janus-Pro-7B (this page) | 2,036 | gradio | mit | 2026-07-14 |
| [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 |
| [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 |
| [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 |
| [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 |
| [InstantMesh](https://mindket.com/p/1ae3bef4-64e6-4fbc-ab14-186522fbac0f) | 1,609 | gradio | apache-2.0 | 2026-05-22 |

Numbers as Mindket last read them, on 2026-11-12.

## What people say

> Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions.

- [Hacker News · victormustar · 2025-01-27](https://news.ycombinator.com/item?id=42842760): Janus-Pro: Autoregressive framework unifying multimodal understanding\&generation
- [Bluesky · Livio Andrea Acerbo · 2026-02-08](https://bsky.app/profile/lacer2k.bsky.social/post/3meecusso2a2g): DeepSeek emerges as the powerhouse from China, rocking Silicon Valley with its game-changing Janus-Pro-7B. A new AI era looms as it competes against giants like OpenAI \& Google. But with success come cyber threats. Will this underdog story shift AI’s future? 🚀 Dive into the tech revolution\!
- [Hacker News · Tiberium · 2025-01-29](https://news.ycombinator.com/item?id=42861730): Free access to Janus Pro 7B: Useless SEO garbage: it's just an iframe for https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B + lots of AI-generated text based on the official docs

## 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: 2026-07-14
- First published: 2025-01-27
- Checked on Hugging Face: 2026-11-12
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open deepseek-ai/Janus-Pro-7B on Hugging Face](https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/93bc9b4f-a785-41e3-a31d-51920a5b3536)
- [Its page on Mindket](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536)
