Huashu Design
alchaincyf · Skill
Turns a one-line request in your AI agent into a finished design: a launch animation, a clickable app prototype, an editable slide deck, an infographic or a se…
Turns an uploaded image into a text prompt with the Florence-2-base model. Runs in the browser as a small Gradio app on basic CPU hardware.
Image To Text 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 Jonny001/Image-to-Text --repo-type space --local-dir Image-to-Text cd Image-to-Text
Image To Text takes a picture and gives you a written prompt for it. It uses Microsoft's Florence-2-base model inside a small Gradio app. The Space runs on Hugging Face, so you can try it in a browser with nothing to install.
People who need words for a picture, such as a prompt to feed another tool, and developers who want a short example of a Florence-2 model in Gradio.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Image generation | Prompt writers | Turn a reference picture into a prompt | Upload a photo and read the prompt |
| Content creation | Designers | Get a quick written description of a picture | Describe an image they want to recreate |
| Software | Developers | Study a small app that wraps one vision model | Download the Space and read app.py |
| Education | Students | See what a vision model says about a picture | Compare the output across several images |
Anyone who never works with images or prompts can skip it.
It runs in these places.
| Use case | Who | What they get back |
|---|---|---|
| Make a prompt from an image | Prompt writers | A written prompt for the picture |
| Describe an image | Designers and students | A text description from Florence-2-base |
| Reuse the small app | Developers | A local copy with only a few files |
Using the Space online needs only a browser. A copy on your own computer needs the following.
pip install -U huggingface_hub hf download Jonny001/Image-to-Text --repo-type space --local-dir Image-to-Text cd Image-to-Text pip install gradio==5.29.1 pip install -r requirements.txt python app.py
Open the Space's page on Hugging Face, or run the app on your computer and open the page Gradio shows. Then upload an image and read the text it returns.
python app.py
| Tool | What it does |
|---|---|
| app.py | The main file, it builds the Gradio page |
| hf download | Copies the Space's files to your computer |
| requirements.txt | Lists the Python packages the app needs |
Open the Space in your browser and upload a photo of a lighthouse at dusk. You get back a line of text that describes the photo, which you can copy into another tool as a prompt.
A prompt is the text you give an image tool to say what you want. This app goes the other way and writes one from a picture. The first small thing to try is the online Space with a photo you already have.
The Space names one model, Florence-2-base from Microsoft, and the repository is only a few files. It is set to run on Hugging Face's cpu-basic hardware, so no GPU is named. Running a copy locally means installing Gradio 5.29.1 and the packages in requirements.txt.
The Space states no usage limits, so treat it as a small tool you can read and adapt.
Turns an uploaded image into a text prompt with the Florence-2-base model. Runs in the browser as a small Gradio app on basic CPU hardware.
Made by Jonny001 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: Image To Text takes a picture and gives you a written prompt for it. It uses Microsoft's Florence-2-base model inside a small Gradio app. The Space runs on Hugging Face, so you can try it in a browser with nothing to install.
Who it suits: People who need words for a picture, such as a prompt to feed another tool, and developers who want a short example of a Florence-2 model in Gradio.
Industry | Who uses it | How they use it | Example
Image generation | Prompt writers | Turn a reference picture into a prompt | Upload a photo and read the prompt
Content creation | Designers | Get a quick written description of a picture | Describe an image they want to recreate
Software | Developers | Study a small app that wraps one vision model | Download the Space and read app.py
Education | Students | See what a vision model says about a picture | Compare the output across several images
Anyone who never works with images or prompts can skip it.
Where to use it: It runs in these places.
Use case | Who | What they get back
Make a prompt from an image | Prompt writers | A written prompt for the picture
Describe an image | Designers and students | A text description from Florence-2-base
Reuse the small app | Developers | A local copy with only a few files
How to set it up: Using the Space online needs only a browser. A copy on your own computer needs the following.
pip install -U huggingface_hub
hf download Jonny001/Image-to-Text --repo-type space --local-dir Image-to-Text
cd Image-to-Text
pip install gradio==5.29.1
pip install -r requirements.txt
python app.py
How to use it: Open the Space's page on Hugging Face, or run the app on your computer and open the page Gradio shows. Then upload an image and read the text it returns.
python app.py
Tool | What it does
app.py | The main file, it builds the Gradio page
hf download | Copies the Space's files to your computer
requirements.txt | Lists the Python packages the app needs
Example: Open the Space in your browser and upload a photo of a lighthouse at dusk. You get back a line of text that describes the photo, which you can copy into another tool as a prompt.
For newcomers and experts: A prompt is the text you give an image tool to say what you want. This app goes the other way and writes one from a picture. The first small thing to try is the online Space with a photo you already have.
The Space names one model, Florence-2-base from Microsoft, and the repository is only a few files. It is set to run on Hugging Face's cpu-basic hardware, so no GPU is named. Running a copy locally means installing Gradio 5.29.1 and the packages in requirements.txt.
You upload an image
app.py passes it to Florence-2-base
The model writes a text prompt
The page shows the text
Good to know: The Space states no usage limits, so treat it as a small tool you can read and adapt.
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 |
|---|---|---|---|---|
| Image To Text This page | 32 | gradio | mit | |
| FLUX.1 [dev]Shares gradio | 9,583 | gradio | mit | |
| InstantIDShares gradio | 3,659 | gradio | apache-2.0 | |
| 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 |
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