diffusion

Krea.ai released Krea 2 Turbo, a 12-billion parameter diffusion transformer model for text-to-image generation. The open-weight model generates images in 8 inference steps and supports resolutions up to 2048x2048 pixels.

Ideogram has released Ideogram 4, a 9.3B parameter open-weight text-to-image model trained from scratch. The model features structured JSON prompting, native 2K resolution output, and ranks as the top open-weight model on Design Arena. Available in fp8 and nf4 quantizations under a non-commercial license.

NVIDIA released Cosmos3-Super-Text2Image, a 64-billion parameter text-to-image generation model as part of its Cosmos3 collection of omnimodal world models. The model uses a Mixture-of-Transformers architecture combining autoregressive and diffusion transformers, designed for Physical AI applications including robotics and autonomous vehicles.

Microsoft released Lens, a 3.8-parameter foundational text-to-image model trained on Lens-800M, an 800 million image-text corpus with GPT-4.1 captions. The model uses a 48-block MMDiT denoiser with FLUX.2 latents and supports generation up to 1440×1440 resolution across aspect ratios from 1:2 to 2:1.

Baidu has released ERNIE-Image-Turbo, a distilled text-to-image diffusion transformer that generates images in 8 inference steps. The model runs on consumer GPUs with 24GB VRAM and supports resolutions up to 1376×768, with claimed strengths in text rendering and structured generation tasks.

ByteDance has released Helios, a 14-billion-parameter open-weight video generation model that achieves 19.5 frames per second on a single GPU while generating minute-long video clips. The researchers claim this is the first model of its scale to reach near-real-time performance at this duration. Code and model weights are publicly available.