Search results for "Stability"

StableLM is an open-source large language model series launched by Stability AI. It is trained on The Pile extended dataset, which contains 1.5 trillion tokens. It offers multiple parameter versions, including 1.6B, 3B, 7B, and 12B, and supports text generation and code writing. It is licensed under the CC BY-SA 4.0 open-source license, allowing free commercial use. Stable LM 2 12B outperforms Llama 2 70B in some benchmark tests. It is suitable for developers, researchers, and small and medium-sized enterprises for private deployment.

2026-07-02

JoyPix.ai is an all-in-one AI creative tool featuring AI video generation, AI lip-sync, avatar creation, voice cloning, talking photo, and image generation. No camera needed—create realistic AI videos and lip-sync videos in seconds. Supports text/image to video, text/image to image, two-character dialogue, one-shot animation, and more. The Motion-2.5 series delivers precise lip-sync, physically realistic motion, and production-ready stability. Perfect for content creators, gamers, and social media users. All start for free.

2026-07-17

Table Doodle is a sketch-to-image AI tool launched by Stability AI. Based on the Stable Diffusion XL model and Tencent ARC's T2I-Adapter technology, it combines simple hand-drawn sketches with text descriptions to generate high-quality images in seconds.

2026-07-04

Stable Audio is an AI music generation platform launched by Stability AI that supports the creation of up to six minutes of 44.1kHz stereo audio from text prompts. Its open-source models can be deployed locally, the training data is fully licensed, and the generated music is explicitly cleared for commercial use. It is suitable for music producers, content creators, and developers.

2026-07-11

First of all, let's conclude that this is a typical temporary traffic restriction where computing power cannot keep up with user growth. It has a short-term impact on user experience, but in the long run, it is an inevitable choice for commercialization and service stability. It cannot be

Introduction: When AI Tools Become "Pay-to-Play Traps," How Should We Navigate? Honestly, the explosive growth of AI tools over the past two years means new options emerge almost daily. Many friends ...

Heap Leaks Detection Skill is a professional tool provided by the OpenClaw platform, designed to automatically detect and diagnose heap memory leaks in applications. It analyzes memory allocation and deallocation patterns to identify unreleased memory blocks, helping developers quickly locate memory leak sources and optimize program performance. Suitable for C/C++, Rust and other languages requiring manual memory management, as well as large long-running server applications. Key features include: automatic heap memory operation scanning, leak report generation, custom detection rules, and CI/CD pipeline integration. Use cases include code review, performance tuning, and stability testing.

The Telegram CrabBox E2E Proof Skill is a specialized skill within the OpenClaw personal AI assistant ecosystem, designed to automate end-to-end verification of CrabBox functionality through the Telegram messaging platform. Leveraging the agent capabilities of the OpenClaw framework, this skill automatically executes the complete verification flow from message reception, processing, to result feedback, ensuring the stability and correctness of CrabBox features in the Telegram environment. It is suitable for development testing, quality assurance, and automated operations, helping teams quickly identify and fix integration issues.

This skill focuses on the maintenance and optimization of AI systems, providing a complete set of scripts and tools for automating routine maintenance tasks. It is compatible with various AI frameworks such as Claude Code, Manus, OpenClaw, and more, helping developers efficiently manage the runtime status, log cleaning, performance monitoring, and troubleshooting of AI agents. Core features include system health checks, resource usage analysis, automated repair script execution, and maintenance record generation. Use cases cover server maintenance, continuous optimization after AI model deployment, and standardized maintenance workflows in team collaboration. By integrating scripts and SKILL.md files from the GitHub repository, users can quickly get started and customize their own maintenance plans, reducing manual intervention and improving system stability.

This skill interprets simulation outputs from warehouse, manufacturing, and distribution flow models, converting them into operator-friendly diagnoses, root-cause explanations, economic impact statements, and recommended interventions. Use it when you need to explain what is breaking, why it is breaking, what downstream effects it creates, what action would stabilize the system, or which scenario improves stability most.

poka-yoke is an industrial-grade mistake-proofing technique manager focused on mistake-proofing tasks in JSON and CSV formats. It provides status checking, adding, listing, searching, removing, exporting, statistics, and configuration features to help users effectively manage and monitor mistake-proofing tasks, ensuring stability and reliability in production processes.