An image generation model family released with code and weights under MIT, in Full, Dev and Fast variants.
Full, Dev and Fast variants; needs a separately licensed Llama 3.1 text encoder.
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.
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.
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.
Full at 50 steps, Dev at 28 steps and Fast at 16 steps.
One licence for the repository and the HiDream-I1 models.
Run generation from the provided scripts.
The README asks you to install Flash Attention.
CUDA 12.4 is recommended for manual installation.
Uses meta-llama/Llama-3.1-8B-Instruct downloaded at run time.
Free under the MIT licence. The only cost is the GPU hardware you run it on; the project shows no paid hosted plan.
870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
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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.
HiDream-I1-Fast uses 16 inference steps, against 28 for Dev and 50 for Full.
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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