Comparison of low Steps, Klein 9b x Z image turbo x Ernie Turbo x Qwen 2512 8 Steps

This r/StableDiffusion post presents a community-driven visual comparison of several modern, fast text-to-image diffusion models — Flux.2 Klein 9B (a smaller, faster distillation of Flux.2 Dev available in both 4B and 9B parameter versions) , Z-Image Turbo (a notably small and fast model that disrupted the diffusion model space) , Ernie Turbo (a LoRA adapter for Qwen-Image-2512 developed by the Wuli Team, released in late December 2025) , and Qwen Image 2512, an updated Qwen model with improvements to human realism, natural detail, and text rendering . The comparison specifically focuses on low-step inference (around 8 steps), evaluating how well each model performs at reduced sampling steps for faster generation. Qwen Image 2512 typically requires considerably more steps than ZIT or Flux.2

Source: r/StableDiffusion | 2026-04-15