HiDream-I1: New Era in Open Source Image Generation
HiDream.ai officially open-sourced their latest text-to-image model HiDream-I1 on April 7, 2025. With 17B parameters, this model can generate high-quality images within seconds and has achieved leading scores in multiple benchmark tests.
Model Features
- ✨ Superior Image Quality - Supports realistic, cartoon, artistic, and various other image styles, achieving SOTA results in HPSv2.1 evaluation, highly aligned with human aesthetic preferences
- 🎯 Excellent Prompt Following - Performs exceptionally well in GenEval and DPG benchmarks, surpassing all other open-source models
- 🔓 Fully Open Source - Released under MIT license, supporting scientific research and innovative applications
- 💼 Business Friendly - Generated images can be freely used for personal projects, scientific research, and commercial applications
Available Model Versions
HiDream.ai offers three versions of the HiDream-I1 model to meet different needs:
| Model Name | Inference Steps | Features | Repository Link |
|---|---|---|---|
| HiDream-I1-Full | 50 | Complete version, best quality | 🤗 HiDream-I1-Full |
| HiDream-I1-Dev | 28 | Distilled version, balance of efficiency and effectiveness | 🤗 HiDream-I1-Dev |
| HiDream-I1-Fast | 16 | Speed version, suitable for real-time generation needs | 🤗 HiDream-I1-Fast |
Technical Highlights
HiDream-I1 employs a Mixture of Experts (MoE) architecture DiT model, combining dual-flow MMDiT blocks with single-flow DiT blocks, efficiently allocating computing resources through dynamic routing mechanisms. The model integrates multiple text encoders, including OpenCLIP ViT-bigG, OpenAI CLIP ViT-L, T5-XXL, and Llama-3.1-8B-Instruct, significantly enhancing semantic understanding capabilities.
Benchmark Results
DPG-Bench
| Model | Overall | Global | Entity | Attribute | Relation | Other |
|---|---|---|---|---|---|---|
| PixArt-alpha | 71.11 | 74.97 | 79.32 | 78.60 | 82.57 | 76.96 |
| SDXL | 74.65 | 83.27 | 82.43 | 80.91 | 86.76 | 80.41 |
| DALL-E 3 | 83.50 | 90.97 | 89.61 | 88.39 | 90.58 | 89.83 |
| Flux.1-dev | 83.79 | 85.80 | 86.79 | 89.98 | 90.04 | 89.90 |
| SD3-Medium | 84.08 | 87.90 | 91.01 | 88.83 | 80.70 | 88.68 |
| Janus-Pro-7B | 84.19 | 86.90 | 88.90 | 89.40 | 89.32 | 89.48 |
| CogView4-6B | 85.13 | 83.85 | 90.35 | 91.17 | 91.14 | 87.29 |
| HiDream-I1 | 85.89 | 76.44 | 90.22 | 89.48 | 93.74 | 91.83 |
GenEval
| Model | Overall | Single Obj. | Two Obj. | Counting | Colors | Position | Color attribution |
|---|---|---|---|---|---|---|---|
| SDXL | 0.55 | 0.98 | 0.74 | 0.39 | 0.85 | 0.15 | 0.23 |
| PixArt-alpha | 0.48 | 0.98 | 0.50 | 0.44 | 0.80 | 0.08 | 0.07 |
| Flux.1-dev | 0.66 | 0.98 | 0.79 | 0.73 | 0.77 | 0.22 | 0.45 |
| DALL-E 3 | 0.67 | 0.96 | 0.87 | 0.47 | 0.83 | 0.43 | 0.45 |
| CogView4-6B | 0.73 | 0.99 | 0.86 | 0.66 | 0.79 | 0.48 | 0.58 |
| SD3-Medium | 0.74 | 0.99 | 0.94 | 0.72 | 0.89 | 0.33 | 0.60 |
| Janus-Pro-7B | 0.80 | 0.99 | 0.89 | 0.59 | 0.90 | 0.79 | 0.66 |
| HiDream-I1 | 0.83 | 1.00 | 0.98 | 0.79 | 0.91 | 0.60 | 0.72 |
HPSv2.1 benchmark
| Model | Average | Animation | Concept-art | Painting | Photo |
|---|---|---|---|---|---|
| Stable Diffusion v2.0 | 26.38 | 27.09 | 26.02 | 25.68 | 26.73 |
| Midjourney V6 | 30.29 | 32.02 | 30.29 | 29.74 | 29.10 |
| SDXL | 30.64 | 32.84 | 31.36 | 30.86 | 27.48 |
| Dall-E3 | 31.44 | 32.39 | 31.09 | 31.18 | 31.09 |
| SD3 | 31.53 | 32.60 | 31.82 | 32.06 | 29.62 |
| Midjourney V5 | 32.33 | 34.05 | 32.47 | 32.24 | 30.56 |
| CogView4-6B | 32.31 | 33.23 | 32.60 | 32.89 | 30.52 |
| Flux.1-dev | 32.47 | 33.87 | 32.27 | 32.62 | 31.11 |
| stable cascade | 32.95 | 34.58 | 33.13 | 33.29 | 30.78 |
| HiDream-I1 | 33.82 | 35.05 | 33.74 | 33.88 | 32.61 |
Getting Started
To try using the HiDream-I1 model, please visit the project’s GitHub repository for detailed installation and usage guides: HiDream-I1 GitHub Repository
You can also download model weights directly from Hugging Face, choosing the version that suits your needs.
Tip: Using this model requires installing Flash Attention, with CUDA 12.4 version recommended. The model also uses Llama-3.1-8B-Instruct, so please ensure you have adequate network connection and disk space.
Related Links
- Product Website: https://vivago.ai/
- GitHub Repository: https://github.com/HiDream-ai/HiDream-I1
- Hugging Face Model Repositories: