Black Forest Labs ships FLUX 3 Image with bounding-box composition, multi-step targeted editing, and native 4K output — bringing structured spatial control to diffusion that was previously only available through ControlNet-style workarounds. Open weights announced for coming weeks.
Alibaba shipped Qwen-Image-2.1, a technically impressive 7B image generation model with native RGBA transparency and 10-reference editing that tops the open-weight rankings — then quietly swapped the Apache 2.0 license for a research-only Qwen License. The weights are public; the use rights aren't.
Unconventional AI released Un-0, an image generator built not on diffusion or adversarial training but on Kuramoto coupled-oscillator dynamics. The learned parameters are coupling strengths between oscillators; the image emerges from a physical simulation rather than a stack of nonlinear layers. FID 6.74 on ImageNet-64 won't unseat SOTA, but the architecture is genuinely different and the code is MIT-licensed.
PrismML's Bonsai Image 4B applies 1-bit and ternary quantization to a FLUX.2 Klein diffusion transformer, compressing it 8.3× to 0.93 GB — small enough to generate images on an iPhone in under 10 seconds. It's the first demonstration that extreme quantization techniques developed for language models transfer cleanly to diffusion architectures.