nihui/qwenimage-ncnn-vulkan
ncnn implementation of Qwen-Image-2.1, with text-to-image, image editing, multi-reference image input and transparent RGBA output
About the project
Portable ncnn/Vulkan implementation of Qwen-Image-2.1 for text-to-image generation and image editing without Python, PyTorch or CUDA. Runs on Intel, AMD, NVIDIA and Apple Silicon GPUs.
Useful for
- Generate an image from a text prompt on a machine without CUDA or PyTorch
- Edit a photo by instruction, e.g. change clothes to a blue jacket
- Combine several reference images (subject, clothing, background) into one
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 25 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 3 days old and already has 95 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #175.
- Recent forks include notable developers: @0xSojalSec (999 followers), @vic4key (338 followers).
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 95
- Today
- 0 · ≈ 25 by evening
- Forks
- 5
- Issues and pull requests
- 3
- Watchers
- 0
- Language
- C++
- License
- Apache-2.0
- Latest release
- 20260923 · September 23, 2026
- Created
- September 21, 2026
- Last push
- September 23, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 24, 2026Top new repositories this week: #172
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