Character.ai post-trained its own CAI-Image family of image models on the open-source Qwen-Image to keep Characters recognizable across styles, scenes, and pages, powering the recently launched (c.ai)…
Researchers introduced Parallel Decoding Distillation (PDD), a trajectory-based distillation method that accelerates image and video generation by predicting multiple denoising steps per network evalu…
Microsoft's Mage-Flow image generation model, with only 4 billion parameters, outperforms larger models including FLUX.2-dev (32B) and Qwen-Image (20B) on GenEval benchmarks, scoring 0.88 against thei…
Mage-Flow, a compact 4B-parameter generative stack from an unnamed research team, achieves competitive text-to-image generation and editing performance while reducing tokenization cost by more than an…
AMD GPUs running SGLang Diffusion on ROCm achieve 1.5x to 6.3x speedups over Hugging Face Diffusers for image generation and editing tasks, as demonstrated on models including FLUX.1-dev, Qwen-Image, …
Nvidia AI Labs researcher Ziv Ilan presented at GTC 2026 that video diffusion models can achieve real-time performance without 50 denoising steps by using a stack of quantization, caching, and distill…