HiDream-I1-Fast
| Property | Value |
|---|---|
| Parameter Count | 17B |
| License | MIT |
| Author | HiDream-ai |
| Model URL | huggingface.co/HiDream-ai/HiDream-I1-Fast |
What is HiDream-I1-Fast?
HiDream-I1-Fast is a state-of-the-art image generative foundation model that combines exceptional image quality with rapid generation speeds. With 17B parameters, it achieves industry-leading performance across multiple benchmarks while maintaining practical efficiency for real-world applications.
Implementation Details
The model architecture integrates components from various proven systems, including FLUX.1's VAE and text encoders from google/t5-v1_1-xxl and meta-llama/Meta-Llama-3.1-8B-Instruct. It requires Flash Attention and CUDA 12.4 for optimal performance, offering multiple inference options including full, dev, and fast variants.
- Achieves highest scores on GenEval (0.83 overall) and DPG benchmarks (85.89 overall)
- Superior performance on HPSv2.1 benchmark (33.82 averaged score)
- Integrated with modern attention mechanisms for efficient processing
Core Capabilities
- Exceptional multi-style image generation (photorealistic, cartoon, artistic)
- Best-in-class prompt following accuracy
- Commercial-friendly licensing for broad application use
- Fast inference times while maintaining quality
- Comprehensive style coverage with superior quality metrics
Frequently Asked Questions
Q: What makes this model unique?
HiDream-I1-Fast stands out for its exceptional balance of quality and speed, achieving state-of-the-art scores across multiple benchmarks while maintaining practical generation times. It particularly excels in prompt following accuracy, demonstrated by its leading positions in both GenEval and DPG-Bench evaluations.
Q: What are the recommended use cases?
The model is versatile and suitable for both personal and commercial applications, including creative projects, scientific research, and professional content generation. Its superior prompt following makes it especially valuable for precise image generation tasks requiring accurate interpretation of complex prompts.
