Mindket

HiDream O1 Image

Newversion 1 · updated

Overview

Offers a Gradio demo for HiDream's O1 Image model that you open in the browser or run on your own computer. Suits people who want to try the model or read the app's code.

HiDream O1 Image is a kit in the Productivity 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.

At a glance

You need
  • Python with pip on Windows, macOS or Linux
  • The Hugging Face hub client, which the first step installs
  • The packages listed in requirements.txt
Runs in
  • A browser: open the Space's page on Hugging Face, with nothing to install
  • A copy on Windows, macOS or Linux, using Python
Start with
pip install -U huggingface_hub
hf download HiDream-ai/HiDream-O1-Image --repo-type space --local-dir HiDream-O1-Image
cd HiDream-O1-Image

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a Gradio demo for HiDream O1 Image, an image model from the HiDream-ai group. You open it in a browser, so there is nothing to install. The source gives no further description, so the details of what the model makes are on the page itself.

Who it suits

It suits people who want to try an image model without setting anything up, and developers who want to read a short Gradio app around it.

IndustryWho uses itHow they use itExample
DesignDesignersTry the model on ideas for picturesEnter a short idea and look at what comes back
MarketingContent teamsTest the model for draft visualsMake a rough picture for a post draft
Machine learningHobbyistsCompare the model's output with othersRun the same idea through two image models
SoftwareDevelopersRead a short Gradio app that wraps a modelOpen app.py and follow it

Skip it if you need documented settings or batch use, since the source describes neither.

Where to use it

  • A browser: open the Space's page on Hugging Face, with nothing to install
  • A copy on Windows, macOS or Linux, using Python
Use caseWhoWhat they get back
Trying the modelAnyone curiousWhatever the model returns for your input
Drafting visualsContent creatorsRough pictures to react to
Reading the codeDevelopersA short Gradio app with three files

How to set it up

The online copy needs nothing. For a copy on your own computer, you need the following.

  • Python with pip on Windows, macOS or Linux
  • The Hugging Face hub client, which the first step installs
  • The packages listed in requirements.txt
  1. Install the Hugging Face hub client.
  2. Download the Space's files into a local folder.
  3. Move into that folder.
  4. Install the Gradio version the Space pins.
  5. Install the remaining packages from requirements.txt.
  6. Start app.py.
pip install -U huggingface_hub
hf download HiDream-ai/HiDream-O1-Image --repo-type space --local-dir HiDream-O1-Image
cd HiDream-O1-Image
pip install gradio==5.23.3
pip install -r requirements.txt
python app.py

How to use it

Online, open the Space's page and use the controls it shows. On your own computer, start the app with the command below and use the page it launches. The source does not describe the controls, so follow the labels.

python app.py

Example

You open the Space, type a short idea into the input the page shows, and run it. The Space returns the model's result for you to look at. The source gives no figures on quality or speed.

For newcomers and experts

If you are new, open the Space online and try one short, plain idea first. Change one word at a time to see what the model responds to.

If you know the field, the repository is a thin Gradio front end, with Gradio 5.23.3 and a requirements file, that names the HiDream-O1-Image model. The Space is listed on cpu-basic hardware at Hugging Face, so where the model runs is not clear from the source.

  1. You open the Space or run app.py
  2. You enter an idea
  3. The HiDream O1 Image model runs
  4. You see the result

Good to know

The source is short, so model details and limits are not described.

  • License: mit, as listed on Hugging Face
  • Cost to run: no API key or paid service is named, and the online copy runs on cpu-basic hardware
  • Data it reaches: what you type or upload, which the online Space handles on Hugging Face's servers, and a local copy downloads the Space's files
  • Not for: the source lists no exclusions, so use only inputs you have the right to use

README and files

README

HiDream O1 Image

Offers a Gradio demo for HiDream's O1 Image model that you open in the browser or run on your own computer. Suits people who want to try the model or read the app's code.

Made by HiDream-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 for HiDream O1 Image, an image model from the HiDream-ai group. You open it in a browser, so there is nothing to install. The source gives no further description, so the details of what the model makes are on the page itself.

Who it suits: It suits people who want to try an image model without setting anything up, and developers who want to read a short Gradio app around it.

Industry | Who uses it | How they use it | Example
Design | Designers | Try the model on ideas for pictures | Enter a short idea and look at what comes back
Marketing | Content teams | Test the model for draft visuals | Make a rough picture for a post draft
Machine learning | Hobbyists | Compare the model's output with others | Run the same idea through two image models
Software | Developers | Read a short Gradio app that wraps a model | Open app.py and follow it

Skip it if you need documented settings or batch use, since the source describes neither.

Where to use it:

  • A browser: open the Space's page on Hugging Face, with nothing to install
  • A copy on Windows, macOS or Linux, using Python
Use case | Who | What they get back
Trying the model | Anyone curious | Whatever the model returns for your input
Drafting visuals | Content creators | Rough pictures to react to
Reading the code | Developers | A short Gradio app with three files

How to set it up: The online copy needs nothing. For a copy on your own computer, you need the following.

  • Python with pip on Windows, macOS or Linux
  • The Hugging Face hub client, which the first step installs
  • The packages listed in requirements.txt
  1. Install the Hugging Face hub client.
  2. Download the Space's files into a local folder.
  3. Move into that folder.
  4. Install the Gradio version the Space pins.
  5. Install the remaining packages from requirements.txt.
  6. Start app.py.
pip install -U huggingface_hub
hf download HiDream-ai/HiDream-O1-Image --repo-type space --local-dir HiDream-O1-Image
cd HiDream-O1-Image
pip install gradio==5.23.3
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and use the controls it shows. On your own computer, start the app with the command below and use the page it launches. The source does not describe the controls, so follow the labels.

python app.py

Example: You open the Space, type a short idea into the input the page shows, and run it. The Space returns the model's result for you to look at. The source gives no figures on quality or speed.

For newcomers and experts: If you are new, open the Space online and try one short, plain idea first. Change one word at a time to see what the model responds to.

If you know the field, the repository is a thin Gradio front end, with Gradio 5.23.3 and a requirements file, that names the HiDream-O1-Image model. The Space is listed on cpu-basic hardware at Hugging Face, so where the model runs is not clear from the source.

You open the Space or run app.py
You enter an idea
The HiDream O1 Image model runs
You see the result

Good to know: The source is short, so model details and limits are not described.

  • License: mit, as listed on Hugging Face
  • Cost to run: no API key or paid service is named, and the online copy runs on cpu-basic hardware
  • Data it reaches: what you type or upload, which the online Space handles on Hugging Face's servers, and a local copy downloads the Space's files
  • Not for: the source lists no exclusions, so use only inputs you have the right to use

On Hugging Face, 13 November 2026

  • Likes: 150
  • Built with: gradio
  • License: mit

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
HiDream O1 Image This page150gradiomit
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Diffusers Image OutpaintShares gradio2,565gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

Reviews

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What people say

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.

きまま / Easygoing 🎌HiDream-O1-Image_clear_v1 を公開! ローカルで簡単に画像編集 【画像生成AI・UiTモデル】 - HiDream-O1-Image_clear は、クリアーで鮮やかな出力 - Image to Image や 画像編集もできる - MXFP8 は RTX 5000 シリーズ 専用のフォーマット note.com/ai_image_jou...26 likes · 1 replyAdina Yakuphuggingface.co/collections/...3 likes猫国防HiDream-O1-Image-Dev-2604 for Text-to-Image Generation 新文本转图片开源模型 huggingface.co/HiDream-ai/H...1 like · 1 replyprobbrain.comHiDream-ai/HiDream-O1-Image-Dev · 91♥ · 2740 dl1 like猫国防HiDream-O1-Image: natively unified image generative foundation model 图片生成模型 - 支持文本转图片、图片参考、图片编辑、(图中)文字生成、2K 画质 huggingface.co/HiDream-ai/H...1 replyCodenameSPOTTED: Multiple unreleased codenames surfaced on LMArena leaderboard: lithium-931h, phelan-beta, c5s25-webdev, hidream-o1-video, hidream-o1-image-2. Single source: LMArena. Unconfirmed. #AI #benchmarksTechLatest.NetModels tested: • Ideogram 4.0 Quality • Hunyuan Image 3.0 • FLUX 2 Dev • Qwen Image 2512 • HiDream O1 Image If you're choosing a model for creative work or production, this comparison should save you a lot of time. Read the full benchmark here: medium.com/@techlatest.... #aiimagegeneration@thomaszx85531.bsky.socialHiDream O1 is worth testing for faster AI-assisted creative work. It helps teams move from prompt to usable output with less production friction. https://www.hidreamai.app/hidream-o1-image

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