OpenVoice: A cutting-edge voice cloning system offering flexible voice style control and zero-shot cross-lingual capabilities from a short audio clip.

OpenVoice: A cutting-edge voice cloning system offering flexible voice style control and zero-shot cross-lingual capabilities from a short audio clip.

OpenVoice: A cutting-edge voice cloning system offering flexible voice style control and zero-shot cross-lingual capabilities from a short audio clip.

Explore the need for participatory AI that respects freedom of expression and integrates user feedback, promoting innovation and transparency in technology.

A concept of decentralized open-source AI training and collective intelligence.

Open source will ensure that more people around the world have access to the benefits and opportunities of AI, that power isn’t concentrated in the hands of a

In a recent open letter, Meta’s Mark Zuckerberg aired his thoughts about how AI should be open source and not just known by a handful of big companies.

A user study comparing SDXL and Midjourney v5.1 using the PartiPrompts benchmark reveals that SDXL slightly outperforms Midjourney in terms of prompt adherence

Learn how Diffusion Models use Probability Flow ODEs, stochastic equations, and denoising score matching to generate images from noise.

The SDXL model faces limitations in rendering complex structures, achieving photorealism, addressing biases, handling concept bleeding, and improving long text

This paper outlines potential SDXL improvements, including single-stage models, better text synthesis, transformer optimizations, and enhanced efficiency.

Explore how the integration of an improved autoencoder and a multi-stage training process enhances the image quality in SDXL.

Discover how multi-aspect training in SDXL adapts to real-world image diversity by accommodating varying sizes and aspect ratios.

Explore the micro-conditioning techniques in SDXL that address image size limitations and cropping issues, enhancing image synthesis quality.

Discover the architectural advancements in SDXL, including a heterogeneous distribution of transformer blocks and more.

Explore modular improvements to the Stable Diffusion architecture, designed for flexible integration with any model.

Discover SDXL, a significant advancement in text-to-image synthesis, featuring a larger UNet backbone and novel conditioning techniques.

Authors:

Traditional FID scores may no longer effectively measure the quality of modern generative text-to-image models like SDXL.

Explore the latest advancements in Stable Diffusion technology as presented by the Stability AI Applied Research team.