Model reference · open weights
HiDream-I1-Fast is an open-weight image model from HiDream-ai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
HiDream-I1 is a new open-source image generative foundation model with 17B parameters that achieves state-of-the-art image generation quality within seconds. Project Updates - 📝 May 28, 2025: We've released our technical report HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer. - 🚀 April 28, 2025: We've open-sourced the instruction-based-image-editing model HiDream-E1-Full. Experience at https://huggingface.co/spaces/HiDream-ai/HiDream-E1-Full!. Key Features - ✨ Superior Image Quality - Produces exceptional results across multiple styles including photorealistic, cartoon, artistic, and more. Achieves state-of-the-art HPS v2.1 score, which aligns with human preferences. - 🎯 Best-in-Class Prompt Following - Achieves industry-leading scores on GenEval and DPG benchmarks, outperforming all other open-source models. - 🔓 Open Source - Released under the MIT license to foster scientific advancement and enable creative innovation. - 💼 Commercial-Friendly - Generated images can be freely used for personal projects, scientific research, and commercial applications. Quick Start Please make sure you have installed Flash Attention. We recommend CUDA version 12.4 for the manual installation. Clone the GitHub repo: Then you can run the inference scripts to generate images: Note: The inference script will automatically download meta-llama/Meta-Llama-3.1-8B-Instruct model files. If you encounter network issues, you can download these files ahead of time and place them in the appropriate cache directory to avoid download failures during inference. Gradio Demo We also provide a Gradio demo for interactive image generation. You can run the demo with: Evaluation Metrics DPG-Bench GenEval HPSv2.1 benchmark License Agreement The Transformer models in this repository are licensed under the MIT License. The VAE is from FLUX.1 [schnell], and the text encoders from google/t5-v11-xxl and meta-llama/Meta-Llama-3.1-8B-Instruct. Please follow the license terms specified for these components. You own all content you create with this model. You can use your generated content freely, but you must comply with this license agreement. You are responsib
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | HiDream-ai |
|---|---|
| Type | Image models |
| Parameters (lead) | 17.1B |
| Variants | 1 |
| Runs with | diffusers |
| Released | 2025-04-06 |
| Popularity | 88k downloads / month |
| Likes | 107 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| HiDream-I1-Fast | 17.1B | BF16 | ~39.3 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys hidream-i1-fast for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (hidream-i1-fast below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"hidream-i1-fast","prompt":"a red bicycle","size":"1024x1024"}'
Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗