wavespeed-ai/sdxl

SDXL is a text-to-image generative AI model developed by Stability AI that creates beautiful images. It is the successor to Stable Diffusion.SDXL can be used alone or in combination with a refiner dedicated to the final denoising step to produce higher quality images.

Key Features

• Performance Improvement: The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance.
• Powerful text comprehension skills: SDXL uses two fixed, pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L) to improve the understanding of complex cue words, thus generating more closely described images.
• High-quality generation: Base model is used to generate (noisy) latents, which are then further processed with a refinement model, suitable for tasks that require a higher level of detail.

Use Cases

• Generate art illustrations, character designs and more.
• Research on model structure optimization, training method research, visual understanding tasks, etc.
• Building AI mapping tools, content generation platforms, assisted creativity products and more.

Accelerated Inference

Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.