Model reference · open weights

HiDream-I1-Dev

Name: HiDream-I1-Dev
Brand: AxForge

Available as managed deployment Image HiDream-ai Text→image 1 variants 250 dl/mo

HiDream-I1-Dev is an open-weight image model from HiDream-ai. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

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Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Maker	HiDream-ai
Type	Image models
Task	Text→image
Parameters (lead)	17.1B
Runs with	diffusers
Released	2025-04-06
Popularity	250 downloads / month
Licence	Open weights

About

What HiDream-I1-Dev is

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.

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 fre

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys hidream-ai-hidream-i1-dev for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (hidream-ai-hidream-i1-dev 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-ai-hidream-i1-dev","prompt":"a red bicycle","size":"1024x1024"}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

Get API access

Sizes & precisions

HiDream-I1-Devfits 16 GB

17.1B · BF16 · ~39.3 GB

Weights ↗

Details

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