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losewayy/README.md

Hi, I'm losewayy

I build small tools and occasionally send patches upstream.

Merged upstream

Project PR
stable-diffusion.cpp #2047 β€” PixArt-Ξ±/Ξ£ model family support
stable-diffusion.cpp #2062 β€” GGUF metadata parsing fix for >4-dim tensors + Wan2.2 VACE support
exllamav3 #406 β€” large-page memory for CPU MoE on Windows (+3~10% decode)

Open

Project PR
llama.cpp #29533 β€” split Vulkan matmul dispatch when it would exceed maxComputeWorkGroupCount
sglang #41391 β€” MiniCPMV wrapper chaining fix
sherpa-onnx #3984 β€” Qwen3 forced aligner with word-level timestamps
sherpa-onnx #3985 β€” CUDA provider options passthrough
sherpa-onnx #3986 β€” Dolphin attention decoder + language/region selection

Things I've built

  • spawnfate β€” predicts Windows process-spawn failures before they happen (argv/PATH/PATHEXT/cmd.exe simulator, MCP-ready)
  • compose-mica β€” wallpaper-aware window backdrop for Compose Desktop
  • bililens β€” browser extension that turns Bilibili videos into long-form notes
  • flutter_liquid_glasses β€” liquid glass material for Flutter
  • uniwill-ec-charge-limit β€” battery charge-limit fix for Uniwill laptops

Pinned Loading

  1. compose-mica compose-mica Public

    Wallpaper-aware window backdrop (pure-Compose Mica-style) + adaptive dimming, wallpaper-driven theming, and liquid-glass recipes for Compose Desktop

    Kotlin

  2. flutter_liquid_glasses flutter_liquid_glasses Public

    Kyant-faithful liquid glass material for Flutter on Impeller β€” SDF refraction, chromatic dispersion, pointer glow, spring interactions

    Dart

  3. spawnfate spawnfate Public

    Predict the fate of a Windows command line before you spawn it β€” layered simulation of name resolution, argv serialization, cmd.exe re-parse, and target argv parsing. Ships a conformance corpus + s…

    Rust

  4. nano-hybrid nano-hybrid Public

    Paired 15M experiment: full-attention vs 3:1 GatedDeltaNet hybrid, trained from scratch on Windows β€” hybrid wins quality, 4x smaller decode cache, no speed win at this scale

    Python