LiteUI-Studio: Run Multiple Video/Image LLMs on 6GB VRAM
res4rrect10n · reddit · 2026-07-05
A developer has released the open-source WebUI tool LiteUI-Studio. Based on a ComfyUI backend, it supports running LTX2.3, Wan2.2-A14B, and Flux.2-Klein-9B (all in Q4KM GGUF quantized versions) on 6G/8G VRAM. The tool features a lightweight interface requiring no manual node wiring, allows for freely loading fine-tuned models and LoRA, and is completely open-source and free.
Benchmarked typical generation times (8G/6G VRAM): Flux2 text-to-image takes about 30s/240s, while LTX2.3 text-to-video takes about 300s/3800s.
More from Infra
- AI Infra Meme: While Countries Need TW-Scale Power for Datacenters, People Argue About Lightbulbs — mgostIH · 2026-10-27
- Legora runs 2,000 parallel agent evals on Modal Sandboxes for legal AI — blelbach · 2026-10-27
- Cloud release velocity scores: AWS 95, Azure 90, Google Cloud 82 — DavidLinthicum · 2026-10-27
- Selling a 5090 to scale local inference: one business weighs 5 hardware paths — Anarchaotic · 2026-10-27
- AWS tutorial: fleet-wide edge CV model lifecycle with SageMaker SDK v3, ~$0.07 per run — AWS ML Blog · 2026-10-27
- Qwen3.8-27B hits 40 tok/s on Jetson Thor with INT4 + MTP, accuracy beats FP16 — No-Dragonfly6246 · 2026-10-27