Flux real-time pipeline adds int8 mode, Lora, and LivePortrait
New updates bring real-time AI video streaming to 24GB GPUs with facial animation.
A week after its initial release, the Flux Real-Time streaming pipeline from TensorForger has received major updates driven by community contributions. Based on the Flux.2-Klein model, the open-source project now includes an int8 mode that enables smooth real-time performance on 24GB GPUs like the RTX 4090 and 3090. Other additions include Lora support, automated installation scripts for Windows and Linux, and a GUI application that accepts webcam or Spout input and outputs to Spout or a virtual webcam. This allows seamless integration with TouchDesigner, OBS, and browsers.
Contributor u/BuffMcBigHuge added a Daydream Scope plugin, while m-bo-one implemented LivePortrait for precise lip motion and facial expression transfer with low latency. No further major features are planned, and support for cards with 16GB or less is ruled out due to insufficient speed. The 9B Flux.2-Klein variant is also not targeted. The repository remains free and open-source on GitHub, inviting bug reports and smaller enhancements.
- int8 mode enables real-time AI video on 24GB cards (RTX 4090/3090).
- New GUI app streams from webcam/Spout to virtual webcam or OBS.
- LivePortrait integration adds accurate lip-sync and facial expression transfer.
Why It Matters
Real-time AI video generation is now accessible on consumer GPUs, enabling live streaming and interactive applications.