Researchers just open-sourced NitroFusion 2, slashing image diffusion down from 8 steps to just 1 or 2 steps. By introducing adversarial distillation directly into the multimodal text stream, it preserves fine details and legible typography even in a single pass. The weights are available on Hugging Face and run locally via ComfyUI.
AI researchers just introduced L2P, a new diffusion model that removes the VAE and latent space to generate images directly in pixel space up to 4K. By skipping latent compression, it preserves fine textures and sharp text without typical quality degradation. The team has open-sourced the training code and a 20GB model checkpoint for 1K resolution.
Developer SeeSee21 just dropped Z-Anime, a 6B parameter diffusion model built by fully fine-tuning Alibaba's Z-Image Base architecture instead of stacking LoRAs. It features an FP8 build under 6GB and a distilled 4-step version that churns out images in seconds on an 8GB GPU. Unlike typical anime models, it demands natural language prompts instead of comma-separated tags.
Alibaba's Tongyi Lab just open-sourced Z-Image, the undistilled foundation model behind its fast Turbo edition. Built specifically for customization, it fixes the Turbo version's repetitive faces and compositions while adding negative prompt support. It needs 50 steps instead of 28, and ComfyUI already supports it out of the box.
