DiffusersVersionsOfModels / hidream-i1-dev

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: -3
30-day runs: 1
Model's Last Updated: April 12 2025
text-to-image

Introduction of hidream-i1-dev

Model Details of hidream-i1-dev

HiDream-I1 Demo

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.

For more features and to experience the full capabilities of our product, please visit https://vivago.ai/ .

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.

pip install -r requirements.txt

Clone the GitHub repo:

git clone https://github.com/HiDream-ai/HiDream-I1

Then you can run the inference scripts to generate images:

# For full model inference
python ./inference.py --model_type full

# For distilled dev model inference
python ./inference.py --model_type dev

# For distilled fast model inference
python ./inference.py --model_type fast

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:

python gradio_demo.py 
Evaluation Metrics
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 Averaged 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
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-v1_1-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 responsible for how you use the models. Do not create illegal content, harmful material, personal information that could harm others, false information, or content targeting vulnerable groups.

Acknowledgements
  • The VAE component is from FLUX.1 [schnell] , licensed under Apache 2.0.
  • The text encoders are from google/t5-v1_1-xxl (licensed under Apache 2.0) and meta-llama/Meta-Llama-3.1-8B-Instruct (licensed under the Llama 3.1 Community License Agreement).

Runs of DiffusersVersionsOfModels hidream-i1-dev on huggingface.co

9
Total runs
0
24-hour runs
1
3-day runs
-3
7-day runs
1
30-day runs

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