gradio

rtmlib is a lightweight, open-source pose estimation library that supports full-body, hand, face, and animal pose tracking, built on rtmpose and vitpose models, with a built-in Gradio web UI.

This post showcases Workflow1111, a rebuild of AUTOMATIC1111's stable diffusion web UI using Gradio Workflow, which integrates multiple media pipelines and AI models into a single canvas.

Gradio introduces Workflow, a feature that enables building agent-friendly and human-friendly UIs for complex AI workflows by describing steps as a graph of typed nodes, with drag-and-drop canvas, REST API, and easy deployment to Hugging Face Spaces.

The article introduces `gr.Workflow` in Gradio, a feature that allows users to build AI pipelines as interactive, visual interfaces with drag-and-drop nodes, complete with live examples and easy deployment to Hugging Face Spaces.

HKUST and Meituan jointly release the open-source poster generation model PosterCraft, optimizing Chinese text rendering and layout via multi-stage training, and offering complete datasets and code.

MiniMax-Music3 gradio workflow is now available as a Hugging Face Space, enabling easy use of the music generation model.

This post presents an optimized method for full document redaction using Qwen 3.6 27B with a Pi agent harness, achieving acceptable results through higher quantization, improved prompting, and a Gradio UI.

A developer built a pocket Charles Spurgeon AI assistant that runs fully offline on a fine-tuned Gemma model. It can answer theological questions, prepare sermons, and grade sermon drafts in Spurgeon's voice.

An agent chained two Hugging Face Spaces—one for image generation and one for 3D reconstruction—to produce a cinematic 3D Paris gallery, illustrating the building-block economy where agents glue together proven components rather than building from scratch.

Day 1 of the Hugging Face Build Small Hackathon: team brainstorming ideas including context-aware Chinese correction, AI whistling coach, and AI shelter cat adoption helper.

Announcement of the Build Small Hackathon starting in 6 hours, featuring 3,300 builders, a 32B parameter cap, $48,000 in cash prizes, 2x RTX 5080s, and $100k in Codex credits, with kickoff at 9 am PT on June 5.

OpenBMB is hosting the Build Small Hackathon with $40k+ in prizes, focusing on building apps using small models (≤32B parameters) with Gradio on Hugging Face Spaces. Registration closes June 3, 2026.

Gradio's third global hackathon, 'Build Small,' is focused entirely on local AI models under 32 billion parameters, with prizes from OpenAI, NVIDIA, OpenBMB, and Cohere worth over $40k cash plus hardware and credits.

This post describes how to use Hugging Face's ZeroGPU and a coding agent to autonomously deploy AI models, specifically the LongCat talking-avatar model, on a budget.

OpenBMB thanks @_akhaliq for contributing a Hugging Face demo for MiniCPM-V 4.6, using Gradio server for flexible frontend customization.

This article demonstrates how to build scalable web applications for PII detection using OpenAI's Privacy Filter model and Gradio Server, showcasing three specific app examples like document exploration and image anonymization.

Hugging Face introduces `gradio.Server`, a new tool that allows developers to use Gradio's backend infrastructure (queuing, hosting) with custom frontends built using React, Svelte, or plain HTML/CSS/JS.

This open-source project provides a feature-rich web interface for Stable Diffusion, enabling users to easily generate, edit, and upscale images using various AI models and extensions. Built with Gradio, it supports txt2img, img2img, inpainting, and numerous community-driven tools for local AI image generation.