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✦ Free & open sourceGraphic Design

HiDream-I1

An image generation model family released with code and weights under MIT, in Full, Dev and Fast variants.

HiDream-I1: MIT-licensed image model family

Full, Dev and Fast variants; needs a separately licensed Llama 3.1 text encoder.

Free forever · open source · MIT
✓ Needs IT✓ Browser-based✓ Real-time collaboration
5
ZEKAI
MIT weights, heavy setup
Free & open source · Graphic Design
Ease of setup3
Usefulness6
Maintenance3.5
Community7.5
★ 2,508
GITHUB
Jul 2025
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

HiDream-I1 is an image generation model with inference code in this repository, and the README says the code and the models are MIT-licensed. It suits developers who want permissively licensed weights and accept a gated Llama download.

Runs on
Cross-platform
Hosting
Self-host
Languages
Python
License
MIT

What it is

You install the dependencies, recommended with CUDA 12.4 and Flash Attention, then run the inference script. The README lists HiDream-I1-Full at 50 steps, Dev at 28 and Fast at 16, and the script downloads meta-llama/Llama-3.1-8B-Instruct.

Who it's for

It suits developers who are comfortable with Python and Hugging Face logins. It does not suit anyone who wants a desktop app, or who cannot accept the Llama 3.1 licence.

Key features

Three variants

Full at 50 steps, Dev at 28 steps and Fast at 16 steps.

MIT code and weights

One licence for the repository and the HiDream-I1 models.

Command-line inference

Run generation from the provided scripts.

Flash Attention path

The README asks you to install Flash Attention.

CUDA 12.4 guidance

CUDA 12.4 is recommended for manual installation.

Llama text encoder

Uses meta-llama/Llama-3.1-8B-Instruct downloaded at run time.

How to start

Up and running in 3 steps

1
Clone https://github.com/HiDream-ai/HiDream-I1 and install the dependencies with CUDA 12.4 and Flash Attention.
2
Accept the Llama 3.1 licence on Hugging Face and log in with your token.
3
Run the inference script for the Full, Dev or Fast variant.
Real talk

Our honest verdict

What's great

  • Code and models are both MIT-licensed according to the README.
  • Three variants trade steps for speed: 50, 28 or 16 inference steps.
  • No account with the model authors is needed; the only gated piece is the Llama download.
  • A small repository, so the inference path is easy to read.

Where it falls short

  • You must accept Meta's Llama 3.1 licence on Hugging Face and log in before the script can run.
  • The README gives no VRAM figure, so you must check hardware needs yourself.
  • Setup means manual install with Flash Attention and CUDA 12.4; there is no GUI.
  • The repo shows no releases, and the latest commit is from 2025-07-16.
Cost

Pricing & license

Free under the MIT licence. The only cost is the GPU hardware you run it on; the project shows no paid hosted plan.

Paid work

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Questions

FAQ

Is HiDream-I1 free for commercial use?

The README says the code and the HiDream-I1 models are MIT-licensed. The Llama 3.1 text encoder it downloads has its own licence.

Which HiDream-I1 variant is fastest?

HiDream-I1-Fast uses 16 inference steps, against 28 for Dev and 50 for Full.

Does it need a GPU?

The README recommends CUDA 12.4 and Flash Attention but gives no VRAM figure, so plan on an Nvidia GPU and check the model cards.

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