Welcome aMUSEd: Efficient Text-to-Image Generation

Zero-shot image-to-text generation with BLIP-2

Hierarchical text-conditional image generation with CLIP latents

Open Preference Dataset for Text-to-Image Generation by the 🤗 Community

Assisted Generation: a new direction toward low-latency text generation

Introducing 4o Image Generation

At OpenAI, we have long believed image generation should be a primary capability of our language models. That’s why we’ve built our most advanced image generator yet into GPT‑4o.

Unified Text-Image Generation with Weakness-Targeted Post-Training

The paper introduces a post‑training approach that enables a single inference process to transition from text reasoning to image synthesis, eliminating the need for explicit modality switching. Using the 14B BAGEL model, the authors demonstrate that targeted post‑training data and reward‑weighted training improve multimodal image generation across four independent T2I benchmarks. The study highlights the benefits of joint text‑image generation and strategic data selection for enhancing T2I performance.