Pinned Tweet
ncnn telegram chat group 技术交流电报组
ncnn community
t.me/ncnnyes
nikki and momoten project logo
github.com/nihui/nikki
github.com/nihui/momoten
momoten: Vulkan compute on top of OpenCL
Bring Vulkan compute to older GPUs
Bypass missing, outdated, or buggy Vulkan drivers
Potentially faster than native Vulkan
Run ncnn Vulkan workloads without shader changes
github.com/nihui/momoten
zhuanlan.zhihu.com/p/2096952…
🤖 Made with AI
Vulkan 1.4.366 已经收录 nikki 和 momoten 的 driver ID
VK_DRIVER_ID_NIKKI = 33
VK_DRIVER_ID_MOMOTEN = 34
nikki 和 momoten 两个驱动 id 已经正式合并到 vulkan-docs
github.com/KhronosGroup/Vulk…
nikki 和 momoten 两个驱动 id 已经正式合并到 vulkan-docs
github.com/KhronosGroup/Vulk…
qwenimage-ncnn-vulkan 已支持 qwen-image-2.1-turbo
8步出图
github.com/nihui/qwenimage-n…
预告:4G内存 + 2G显存 跑BF16精度 qwen-image-2.1 1024x1024 出图并且速度不变慢
用 ncnn 跑 Qwen-Image-2.1:完整 BF16、2GB 显存和全平台 Vulkan
zhuanlan.zhihu.com/p/2088230…
github.com/nihui/qwenimage-n…
用 ncnn 跑 Qwen-Image-2.1:完整 BF16、2GB 显存和全平台 Vulkan
zhuanlan.zhihu.com/p/2088230…
github.com/nihui/qwenimage-n…
🤖 Made with AI
Visualizing to learn model internals in the agentic era can be surprisingly low-friction.
I had Codex one-shot architecture notes earlier for several recent OSS models—DeepSeek V4/V4.1, GLM 5.3, and Kimi K3—specifically from a kernel-development perspective: tensor contracts, exact shapes/layouts, attention variants, KV-cache representation, precision choices, dataflow, and operator boundaries.
Sharing in case they’re useful to others:
lei.chat/models/
好耶,libwaifu支持Qwen-Image-2.1成功🎉
github.com/ling0322/libwaifu
文生图性能优化 10%~20% (cooperative matrix)
图编辑性能优化 40%~85% (prefix cache)
调整低显存的 tile 策略,KV cache host swap,进一步降低显存占用,防止多图输入的显存溢出
github.com/nihui/qwenimage-n…
Qwen-Image-2.1 full BF16 running with 2GB VRAM
ncnn/Vulkan for NVIDIA/AMD/Intel/Apple
No CUDA/PyTorch/Python
Portable executable
Text-to-image & Image editing
Up to 10 reference images
Transparent RGBA generation
Dynamic output resolution
Batch generation
huggingface.co/Qwen/Qwen-Ima…



















