HunyuanDiT-v1.1-Diffusers-Distilled
| Property | Value |
|---|---|
| Author | Tencent-Hunyuan |
| Model Type | Text-to-Image Diffusion |
| Framework | 🤗 Diffusers |
| Model URL | Hugging Face |
What is HunyuanDiT-v1.1-Diffusers-Distilled?
HunyuanDiT is a state-of-the-art multi-resolution Diffusion Transformer model developed by Tencent that excels in both Chinese and English text-to-image generation. This distilled version offers efficient 25-step generation while maintaining high-quality output and fine-grained understanding of Chinese text prompts.
Implementation Details
The model is implemented using the Hugging Face Diffusers framework and requires PyTorch. It operates with mixed precision (float16) for optimal performance and can be easily deployed on CUDA-enabled devices.
- Supports both Chinese and English prompts
- Optimized for 25-step generation pipeline
- Implements multi-resolution architecture
- Distilled for improved efficiency
Core Capabilities
- Text-Image Consistency: 74.2%
- Excluding AI Artifacts: 74.3%
- Subject Clarity: 95.4%
- Aesthetics: 86.6%
- Overall Performance: 59.0%
Frequently Asked Questions
Q: What makes this model unique?
HunyuanDiT stands out for its exceptional bilingual capabilities and fine-grained understanding of Chinese text, while maintaining competitive performance metrics compared to other leading models like DALL-E 3 and Midjourney v6.
Q: What are the recommended use cases?
The model is particularly well-suited for applications requiring high-quality image generation from both Chinese and English text prompts, especially in scenarios where understanding of Chinese cultural elements is crucial.
