NanoMaestro Realtime is a 50MB AI music model with 13M parameters that generates piano music in real time using a 2-layer LSTM. It runs locally in the browser via ONNX and Transformers.js with WASM, requiring no GPU or server backend, and works on older Raspberry Pi models.
AI Music Model Runs in Real Time on Most CPUs in Browser
Gradio releases Workflow1111, rebuilding AUTOMATIC1111 features as a Gradio graph
Gradio has released Workflow1111, a project that rebuilds most of AUTOMATIC1111's stable-diffusion-webui feature set using the gr.Workflow framework. The application consists of a single canvas containing eleven media pipelines built from seventy-three nodes, covering text-to-image, image-to-video, and various preprocessing tasks.
Boogu-Image-0.1: Open-Source Unified Image Generation and Editing Model Series
Boogu-Image-0.1 is an Apache-2.0 licensed open-source unified image generation and editing model family, including Base, Turbo, and Edit variants. It offers high-quality text-to-image generation, fast generation, image editing, and strong Chinese-English text rendering, with training data scale roughly one order of magnitude smaller than closed-source systems yet achieving competitive performance through improved model understanding and data quality.
Porting Moebius 0.2B Image Inpainting to Browser with Claude Code
The Moebius 0.2B image inpainting model has been successfully ported to run in the browser using WebGPU and ONNX Runtime. The project, initiated with Claude Code, converts the model's weights to ONNX and deploys them via Hugging Face, with a simple web interface available at simonw.github.io/moebius-web/.
Sumi: Open Uniform Diffusion Language Model from Scratch
Sumi is a 7B-parameter uniform diffusion language model pretrained from scratch on 1.5T tokens. It competes with autoregressive models on knowledge, reasoning, and coding tasks but underperforms on commonsense benchmarks, likely due to its education-heavy data mixture. The model weights, checkpoints, and full training recipe are publicly released.
OpenEnv reproduces Surya Narreddi's watercolour painting model using TRL
An engineer has open-sourced a reproduction of Surya Narreddi’s viral project, which trains a coding model to paint watercolours using JavaScript and reinforcement learning. The implementation utilizes the TRL library and OpenEnv to create an end-to-end pipeline on Hugging Face for training, scoring, and inference.