SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
Long Video Gen / World Model / World Action Model (Embodied) Infrastructure
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
PEP-484 stubs for Django
Versatile ASCII and ANSI Art text editor for drawing in the Linux/Unix/macOS terminal, with animation, 256 and 16 colors, Unicode and CP437, and customizable themes
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
PTQ-Level Efficiency, QAT-Level Accuracy|训练后量化的效率,量化感知训练的精度
P4 language tutorials
Automatically convert video files to a standardized format with metadata tagging to create a beautiful and uniform media library
漫剧老李 AIGC 创作全流程 Skill · V7.4.26 多技能套装版(Short-Drama Director Suite):1 总控 + 12 子技能 · 四层纵深——赛道分流 / 素材采风 / 剧本 / 资产 / 分镜 / 三大打戏引擎 / 投喂 / 质检全链路。六道前置锁 + I 画风锁 · 50 份规则库 · 机检 C1~C33 | H1~H12 + 六道投喂闸门 + P4.5 故事板机检(P450~P458)· 素材形态 M0/M1/M2(本包不持有图)· 产出可直接投喂 Seedance 2.5 / 2.0 / MiniMax H3 的七段式提示词组。测试版,二次修改整合开源内容。
Downloader for Movie, Series, Anime, Album, Song + DASH/HLS/ISM/MP4.
Bootstrap 4 integration with Django.
将文件隐写进MP4/MKV文件中 (Embed files into MP4/MKV files.)
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
An example of Django project with basic user functionality.
Tessera: beautiful, easy touch screens for Home Assistant on affordable ESP32 panels, 2.8 to 10.1 inch (CYD, Guition, Waveshare). Drag-and-drop editor, no YAML, no MQTT.
A lightweight container-based network emulation system.
Simple. Fast. Powerful YouTube Downloader For Mac, Windows & Linux.
PEP-484 stubs for django-rest-framework
Rebuild a reference video as an editable HyperFrames project, compare the match against the original, and export an MP4.
Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64.
GLM-5.3-Flash (NVFP4) on 2x NVIDIA DGX Spark - vLLM TP2, 262K context, MTP. World-first deploy recipe: 7 day-0 bugs found and fixed, patched sm121 image, probes and full report.
One command turns a DGX Spark or ASUS Ascent GX10 into a private AI server: seven measured, pinned AI lanes (text up to 1M tokens, images, video with sound), run from a local cockpit on a laptop or a phone. Nothing leaves the box.
把一个主题做成有配音、字幕、封面的讲解分析类视频 —— 全本地、用 HTML 写画面,稳定音画同步。 面向 AI 编程智能体的确定性 HTML → MP4 渲染流水线。
The fastest vLLM build for AMD R9700's. For the latest updates join the Launch80 discord server. I am on X now also https://x.com/bkuyper
Hand-written NVFP4 W4A16 CUDA kernels for Volta
Optimized SGLang runtime for Qwen3.8-27B FP8 with DFlash2 and Qwen3.8 Flash-Next NVFP4 with FR-Spec on one NVIDIA RTX PRO 6000 Blackwell 96 GB GPU (SM120): 524K context, HiCache and NIXL.
Pinned one-DGX-Spark Docker recipe for DeepSeek V4 Flash with EXL3, SparkInfer, and 262K NVFP4 MLA KV cache
DeepSeek-V4.1-Flash (552B MoE, MXFP4 experts, 1M ctx) on four NVIDIA DGX Sparks with vLLM TP4: Engram-on-disk patch, sm121 kernel build, launchers, measured numbers
Qwen3.8-Flash-Next (NVFP4) on DGX Spark in vLLM: one Spark 43.9 tok/s with our disk-backed n-gram table patch, staged gather and reduced-vocab MTP draft; TP2 SPEED 53.7; TP4 CONTEXT 9M KV pool. Launchers, patch, 40-prompt harness, KV ledger, credits. SGLang TP2 day-0 lane kept.
日本語の台本を貼るだけでスライド・VOICEVOX音声・焼き込み字幕入りのMP4を出力するローカルWebアプリ
Claude Code plugin: turn one still image into a ~5 s seamless looping animation (MP4, GIF, WebP, Live Photo). · 把一张图做成约 5 秒的无缝循环动图。
High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.
GLM-5.3-Flash (NVFP4) at TP=4 across 4x ASUS GX10 / GB10 - vLLM + mentat instead of Ray, 524k context, DFlash2. Minimal working recipe.
Run original DeepSeek V4.1 Flash FP4/FP8 weights on a 16 GB M1 Mac mini with bounded SSD streaming in MLX. Recipe, benchmarks, and demo.
GLM-5.3-Flash on 4× NVIDIA CMP 170HX with vLLM: up to 482.6 tok/s single-user, up to 943.7 tok/s at 8 users, 262K context, TP4 or PP4, one-command container install
把一张插图渲染为连续落笔、逐步上色、最后停留展示的流式笔迹白板手绘动画,并导出 H.264 MP4。支持单图与批量队列渲染。
Fast, capable GLM-5.3-Flash FP4-Local on two DGX Sparks: opinionated Atlas serving and reproducible inference research.
Tuned TP4 serving profile for DeepSeek-V4.1-Flash on 4x NVIDIA DGX Spark (SGLang, DSpark), built on the MiaAI-Lab recipe
An environment where open models work as agents: a first-level harness with routing, skills, memory and sandboxed tools, on an engine that drafts and verifies its own tokens.
GLM-5.3-Flash (320B MoE) at TP4 across four DGX Sparks, same day as the model drop: 36 tok/s, 1.26M-token FP8 KV pool, 262K context, MTP spec decode. First TP4 glm5_next outside B200 hardware. Full patched-image recipe + the GB10 memory study.
Agent skill: research a topic and render a hand-drawn + 8-bit promo video (MP4)
Serving 4-bit Qwen3.8-27B on a single DGX Spark (GB10): 75 tok/s single-stream, 246 tok/s aggregate at 8-way concurrency. NVFP4 vs MixedInt4-AutoRound vs the FP8 baseline, measured on one harness — including why the quantization advantage collapses to +0.2% by c16.
影藏 PolyFlix:把秘密文件藏进可正常播放的 MP4 视频
SGLang for GLM-5.3-Flash on two or four RTX PRO 6000 Blackwell GPUs (SM120), with TP2 W4A16 and TP4 NVIDIA NVFP4 profiles.
📦 论文分享技能包:PDF 论文 → SUSTech Beamer 幻灯片 → 配音讲解视频 → B 站投稿(Claude Code / Codex / OMP 三端通用)| Paper-to-Bilibili skill suite: arXiv PDF → slides → narrated MP4 → Bilibili upload
Reproducible Qwen3.8-27B GPTQ INT4 + MTP4 inference on Intel Arc Pro B70 using vLLM XPU — 84.65 tok/s median.
All-NVFP4 vLLM + DFlash2 K7 for Blackwell (SM120/SM121): NVFP4 target/draft/KV, 262K context, optional CPU vision sidecar.
GLM-5.3-Flash NVFP4 on 4x NVIDIA DGX Spark: vLLM TP4, DFlash2 adaptive draft, measured FP8 vs NVFP4 vs EXL3 vs SGLang
Reverse engineering the Samsung Odyssey G5 (LS32CG552) firmware: signature check bypass, modified firmware flashed over USB, and hidden factory menus.
AI API gateway / relay: 307 models behind one OpenAI-compatible key. image2.5 $0.0085/image, Seedance 2.0 Mini $0.01056/sec, LLM from $0.0228/M tokens. USD settlement, pay-as-you-go, $1 minimum top-up.
Serve Ornith-1.5-35B-A3B (NVFP4 + in-checkpoint MTP, 256k ctx) on one DGX Spark — vLLM b12x recipe plus CUDA-graph fixes.
Qwen3.8-27B INT8/W8A8 optimization for Hygon K100AI: SGLang, TP1/TP4, DFlash2 and long-context Agent workloads
math-concept-film · 数学概念短片生成器 你说一个概念,AI 还你一部带旁白的数学动画短片。 这是一个给 AI 编程助手(Claude Code /codex/ Workbuddy 等)用的技能(skill)。 装好之后,你只需要对你的 AI 说一句: “帮我用视频讲清楚傅里叶级数” 几分钟后,你会得到一部 2~4 分钟、纸墨手账质感、中文配音、带字幕 的 final.mp4。基于Manim技术
Agentic-coding oriented inference engine for N x V100-SXM2, based on SGLang: GLM-5.3-Flash, Qwen3.8-Flash-Next, DeepSeek-V4.1-Flash, MiniMax-H3.
DeepSeek-V4-Flash-DSpark optimized vLLM 0.26.0 SM121 dual-GB10 evidence (NVFP4 KV, B12X, DSpark K6)
Claude skill that turns a single request into a narrated mythic short film in a layered cut-paper diorama style — three-colour cardstock worlds, paper wipes, Unsora MCP + local ffmpeg, one assembled MP4.
Give DeepSeek V4 Flash eyes. OpenAI-compatible shim + tiny local VLM. Point any harness at one URL and your text-only model accepts images. Zero dependencies.