Beats Flux Dev, Stable Diffusion, Dalle3, SDXL
Amongst all the Generative AI hustle, we now have a new open-sourced Image generation model HighDream-I1-Full which has already bettered Flux Dev, Stable Diffusion, Dalle3 and other strong image generation.
HiDream-I1 is an open-source, 17-billion-parameter text-to-image foundation model developed by HiDream.ai. It focuses on generating high-quality images rapidly while supporting diverse styles (photorealistic, artistic, cartoon, etc.) and adhering to ethical guidelines.
Data Science in Your Pocket – No Rocket Science
Key Features
Superior Image Quality
Achieves state-of-the-art results across multiple styles, validated by high scores on benchmarks like HPS v2.1 (a human preference metric).
Outperforms models like SDXL, DALL-E 3, and Midjourney in photorealistic and stylistic generation.
Best-in-Class Prompt Following
Ranks #1 among open-source models on GenEval and DPG benchmarks, excelling in object counting, attribute accuracy, and spatial reasoning (e.g., positioning, colors).
Open Source & Commercial-Friendly
Licensed under MIT, allowing free use for personal, research, or commercial projects.
Generated images can be reused without restrictions (subject to compliance with component licenses).
High Performance
Generates images within seconds, optimized for speed without compromising quality.
Supports fine-tuning for specialized use cases via its modular architecture.
Ethical Compliance
Includes safeguards against generating harmful, illegal, or biased content.
Requires adherence to licenses for dependencies (e.g., Meta’s Llama 3.1, FLUX.1 VAE).
Benchmarks
Strengths:
Top-tier in object relationships (DPG Relation, GenEval Two Objects).
Best-in-class prompt adherence (GenEval Overall, Single Object).
State-of-the-art averages across HPSv2.1 styles (Animation, Concept-Art).
Weaknesses:
Global composition (scene layout) lags behind leaders like SD3-Medium.
Photorealism underperforms compared to SDXL and Midjourney V6.
Limitations & Considerations
Hardware: Optimized for CUDA 12.4; may require significant GPU resources for large-scale generation.
Ethical Use: Users must avoid generating prohibited content (e.g., misinformation, explicit material).
How to use High-dream-I1-Full?
Quite easy, HuggingFace is the place to look out
HiDream-ai/HiDream-I1-Full · Hugging Face
Also, you can try the demo here
Hope you try out the new SOTA Image Generation model
HiDream-I1-Full: SOTA Image Generation model released was originally published in Data Science in Your Pocket on Medium, where people are continuing the conversation by highlighting and responding to this story.
