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GitHub
AI Video2025

Real-time, streaming world model for interactive long-horizon video and scene generation — provides persistent memory across interactions, streaming inference for live scenarios, and example demos for building interactive environments.

GitHub
AI Video2025

Automatically transfers YouTube videos to AcFun and bilibili with an end-to-end pipeline: downloading, ASR, subtitle translation and QC, AI-generated metadata, content moderation, and automated uploads; includes a web dashboard and monitoring.

GitHub
AI Video2025

AI-assisted multi-track video editor that turns natural-language prompts into edits, timing, and layouts; offers real‑time preview, cloud‑synced projects, and a smart media library for fast asset search and iteration.

GitHub
AI Video2025

Generates explorable, 3D-consistent virtual worlds from a single image or short video. Includes official implementations of Lyra‑1 (feed‑forward 3D/4D scene generation via video-diffusion self-distillation) and Lyra‑2 (long-horizon, explorable generative 3D worlds). Best for research and creative prototyping; requires substantial GPU compute.

GitHub
AI Agent2025

Lets AI agents describe interactive UIs as declarative JSON instead of executable code; client apps render the components with native widgets from a pre-approved catalog, keeping agent-generated UI safe across trust boundaries.

GitHub
AI Client2025

Turns content briefs into SEO-optimized long-form articles via chained Claude Code commands and specialized subagents. Pulls live GA4, Search Console, and DataForSEO data to ground keyword research, drafting, and on-page optimization in real rankings.

GitHub
AI Video2025

Generates real-time, infinite-length portrait video from one reference image on a 12GB GPU. Combines implicit facial signals and 3D keypoints with step-distilled diffusion and autoregressive micro-chunk streaming for low-latency live use.

GitHub
AI Client2026

A Claude Code plugin for long-form serial fiction that keeps characters, timeline, and world rules consistent across hundreds of chapters. Facts are committed to a versioned state store, and review gates flag contradictions before each chapter.

GitHub
AI Video2026

Provides a DiT-based audio–video foundation model plus an official Python inference and LoRA trainer. Ships multiple production-ready pipelines (text/image/audio→video), checkpoints, and performance optimizations (FP8, distilled pipelines) for high-fidelity synchronized audio–video generation.

GitHub
AI Agent2026

Teaches LLMs to detect and remove “AI tells” from prose using curated phrase/structure lists, before/after examples, and a 5‑dimension scoring rubric. Delivered as a reusable skill (SKILL.md + reference files) designed to plug into Claude or any LLM workflow for automated style sanitization.

Hugging Face
AI Model2026

Generates anime-style and other non-photorealistic illustrations from text prompts. A 2B-parameter diffusion base preview trained on millions of anime images (and ~800k non-anime art) and released under a non-commercial license; best used in ComfyUI around ~1MP resolution.

GitHub
AI Audio2026

Provides a Spotify-like local UI for running ACE-Step 1.5 to generate full songs (including vocals), batch variations, and manage a local music library, with reference-audio styling and built-in editing/stem tools for users running the model locally.