VoxCPM2 Open-Sources 2B-Param TTS With 30 Languages
OpenBMB released VoxCPM2, a 2 billion parameter text-to-speech model that runs on 8GB VRAM, supports 30 languages at 48kHz, and can design voices from natural language descriptions.
OpenBMB released VoxCPM2, a 2 billion parameter text-to-speech model that runs on 8GB VRAM, supports 30 languages at 48kHz, and can design voices from natural language descriptions.
MiniMax released Music 2.6 on April 10, adding a Cover feature that extracts a song's melodic skeleton and lets creators rebuild everything around it.
llama.cpp b8738 adds backend-agnostic tensor parallelism that enables large AI models to run across multiple GPUs without vendor-specific code.
Researchers released GaussiAnimate, a framework that automatically rigs and animates 3D Gaussian Splatting assets with 17.3% quality improvement.
Researchers from Tongji University, Tencent, and five other institutions released MegaStyle, a 1.4-million image dataset for style transfer alongside a FLUX-based model.
A team of 23 researchers released LPM 1.0, a 17-billion parameter Diffusion Transformer that generates real-time character video from audio input.
Hugging Face contributes Safetensors to the PyTorch Foundation, making the de facto AI model storage format a vendor-neutral, community-governed project.
Google Cloud Platform has open-sourced Scion, an experimental orchestration testbed that runs multiple AI coding agents as isolated, concurrent container processes.
Z.AI released GLM-5.1, a 754-billion-parameter open-weight model that claims the top spot on SWE-Bench Pro with a score of 58.4, surpassing Claude Opus 4.6 and GPT-5.4.
Meta confirmed it will release open-source versions of its upcoming Mango multimedia generator and Avocado LLM, extending its open-weight strategy to next-gen frontier models.
In April 2026, a creator with a $1,200 desktop PC and a 12GB graphics card can generate publication-quality images in under 10 seconds, produce video clips, run a conversational AI, and compose music without sending a single byte to the cloud.
Netflix has released VOID (Video Object and Interaction Deletion), its first public AI model. The open-source tool removes objects from video while preserving physically plausible interactions.
DeepSeek V4 will run exclusively on Huawei Ascend 950PR processors, marking a milestone in China's push to build advanced AI without American chip technology.
Alibaba Wan2.7 video generation model is now available directly in ComfyUI through Partner Nodes, bringing comprehensive video creation capabilities to the popular node-based workflow tool.
Tencent has released OmniWeaving, a unified video generation model that handles seven distinct tasks from text-to-video to reasoning-augmented generation, with publicly available weights and code.
Google released Gemma 4, a family of four open multimodal models under Apache 2.0. The 31B dense model scores 89.2% on AIME 2026, quadrupling Gemma 3. For creators and developers building on open models, this changes everything.
Sony AI has released Woosh, an open source sound effects foundation model supporting text-to-audio and video-to-audio generation.
The first week of April 2026 delivered three significant open-source audio AI models that directly challenge paid alternatives in voice synthesis, sound effects, and multilingual speech.
Liquid AI releases LFM2.5-350M, a 350M parameter open-weight model that runs AI agents on mobile GPUs in just 81MB with 32k context window.
Arcee AI releases Trinity-Large-Thinking under Apache 2.0, ranking #2 on PinchBench behind Claude Opus 4.6 at just $0.90 per million output tokens.
OmniVoice is a zero-shot text-to-speech model supporting 600+ languages with voice cloning, an Apache 2.0 license, and inference 40x faster than real-time.
Alibaba released Wan2.7-Image, a unified AI model that handles both image generation and editing in one system, with fine-grained personalization, color control, and a Pro variant capable of 4K output.
Technology Innovation Institute releases Falcon Perception, a compact 0.6B parameter vision model that beats Meta SAM 3 across six key benchmarks while running on consumer hardware.
PrismML emerged from stealth and open-sourced Bonsai 8B, a true 1-bit large language model that fits 8.2 billion parameters into just 1.15 GB of memory, roughly 14x more compressed than comparable 16-bit models.