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Z-Anime is a full fine-tune of Alibaba's Z-Image Base model, specialized for high-quality anime generation with support for natural language prompts and low VRAM usage.
NVIDIA releases Nemotron-Labs-Diffusion, a family of tri-mode language models (3B, 8B, 14B) supporting AR, diffusion, and self-speculation decoding, achieving 2.7x-4x speed-ups over standard AR decoding.
Developer shares a minimalist 7.5M-parameter diffusion language model trained from scratch on Shakespeare, releasing the code as a learning resource.
VoxCPM2 is an open-source, tokenizer-free diffusion autoregressive Text-to-Speech model supporting 30 languages with 2B parameters, 48kHz audio output, and features including voice design from natural language descriptions, controllable voice cloning, and real-time streaming capabilities.
OmniVoice is a massively multilingual zero-shot text-to-speech model supporting over 600 languages, built on a diffusion language model architecture with fast inference and voice cloning capabilities.
Lightricks released LTX-2.3, an open-weight diffusion-based audio-video foundation model with improved quality and prompt adherence, available in multiple checkpoints including distilled and LoRA variants for local execution.
Anima is a 2 billion parameter text-to-image model specialized for anime and illustration, released as open-source on Hugging Face through a collaboration between CircleStone Labs and Comfy Org.
SANA-Video is a small diffusion model that efficiently generates high-resolution, long videos using linear attention and a constant-memory KV cache, achieving competitive performance at dramatically lower cost and faster speed compared to existing models.
Hunyuan3D 2.0 is a scalable flow-based diffusion transformer system for high-resolution textured 3D asset generation, outperforming state-of-the-art models and publicly released with code and weights.
Ernie Image, a new open-source diffusion model, surpasses Zage in text rendering and prompt fidelity and can be run locally via ComfyUI with ~20 GB VRAM.