VigenFlow: FLUX.1-schnell, FLUX.2-klein-4B and Z-Image-Turbo running locally on the AMD Ryzen AI NPU, no discrete GPU needed (Windows + Ubuntu)

Hi all, I'm the developer of VigenFlow, a local image generation and editing server that runs diffusion models on the AMD Ryzen AI NPU (XDNA 2) + CPU. If you have a Ryzen AI laptop or mini PC without a discrete GPU, you can generate images entirely on your own machine. Supported models Text-to-image: FLUX.1-schnell, FLUX.2-klein-4B, Z-Image-Turbo, Krea2-Turbo Image editing: FLUX.2-klein-4B Speed (on XNDA2 NPU for 1024×1024) FLUX.1-schnell, 4 steps: ~20 s/image FLUX.2-klein-4B, 4 steps: ~9 s/image Z-Image-Turbo, 4 steps: ~17 s/image Krea2-Turbo, 8 steps: ~50 s/image Getting started Windows and Ubuntu packages: https://github.com/jia1217/vigenflow/releases/tag/v0.2.0-beta.2 Works as a local server you can connect to Open WebUI Linux users: make sure your memlock limit is unlimited (ulimit -l should print unlimited), otherwise the NPU can't allocate its buffers What's open The server and model launchers are open source. The NPU kernels and core inference libraries currently ship precompiled; I plan to open-source them later. Repo: https://github.com/jia1217/vigenflow Demo video: https://www.youtube.com/watch?v=2HPm3gc4pdA The project is still early, so bug reports and suggestions are very welcome. Feel free to open an issue on GitHub! submitted by /u/Kelsey_test [link] [comments]

Source: r/StableDiffusion | 2026-10-13