HiDream-I1-Full
| Property | Value |
|---|---|
| Parameter Count | 17B |
| License | MIT |
| Model URL | https://huggingface.co/HiDream-ai/HiDream-I1-Full |
| Author | HiDream-ai |
What is HiDream-I1-Full?
HiDream-I1-Full is a state-of-the-art image generative foundation model that represents a significant advancement in AI-powered image generation. With 17 billion parameters, it achieves exceptional performance across multiple image generation tasks while maintaining rapid inference times. The model stands out for its superior prompt following capabilities and high-quality output across various artistic styles.
Implementation Details
The model architecture combines advanced transformer components with specialized encoders, including text encoders from google/t5-v1_1-xxl and meta-llama/Meta-Llama-3.1-8B-Instruct. It utilizes a VAE component from FLUX.1 and requires Flash Attention support, optimally running on CUDA 12.4.
- Outperforms existing models on major benchmarks including DPG-Bench (85.89 overall score)
- Achieves leading GenEval scores (0.83 overall, perfect 1.0 on Single Object tasks)
- Top performance on HPSv2.1 benchmark with 33.82 averaged score
- Supports multiple inference modes: full, dev, and fast
Core Capabilities
- Exceptional image quality across photorealistic, cartoon, and artistic styles
- Industry-leading prompt following accuracy
- Commercial-friendly licensing for broad application use
- Rapid inference times while maintaining quality
- Comprehensive style support with state-of-the-art performance metrics
Frequently Asked Questions
Q: What makes this model unique?
HiDream-I1-Full distinguishes itself through its superior benchmark performance, achieving the highest scores on multiple industry-standard tests while maintaining practical inference speeds. Its combination of 17B parameters and optimized architecture enables both high-quality output and efficient processing.
Q: What are the recommended use cases?
The model is well-suited for a wide range of applications including commercial projects, scientific research, and personal creative work. Its strong performance across various image styles makes it particularly valuable for professional content creation, artistic projects, and applications requiring high-fidelity image generation with precise prompt following.
