LTX-2.5 22B FLF2V Video Generation Runs on 8GB VRAM, Workflow Open-Sourced
Ecstatic-Use-1353 · reddit · 2026-09-06
A developer got LTX-2.5 22B Distilled first-and-last-frame-to-video running on an 8GB RTX 4060 Laptop GPU, open-sourcing the full ComfyUI workflow. Key details:
- Stack: W4A8 ConvRot quantized transformer + Gemma 12B W4A8 text encoder, official BF16 video VAE and latent upscaler, with DynamicVRAM, async weight offloading, and pinned memory
- Resolutions: stable at 576×1024; 720×1280 is the best quality/time tradeoff on 8GB; 1080p works but can take 15+ minutes per clip
- Generates motion between frames with surprisingly coherent people, equipment and environment
- Repo includes workflow JSON, model list, install and troubleshooting notes; author is experimenting with 6 keyframes + 5 prompts for longer directed sequences
Related event: LTX-2.5 22B Runs on 8GB VRAM with Open-Sourced Workflow(2 posts)→
More from Infra
- Kazakhstan expands NVIDIA-powered compute as Firebird plans local AI lab — nvidia · 2026-10-23
- Jensen Huang visits Astana, joins Kazakhstan's AI minister to discuss nation's AI future — nvidia · 2026-10-23
- FP16 vs FP32 matmul on RTX 4060: 3.5x speedup at large sizes, slower at 128x128 — cneuralnetwork · 2026-10-23
- BaseQuant V1 quants for agentic Qwen3.8-27B hit 17-34% lower KL than Unsloth — nightowlsleeping · 2026-10-23
- PhD students in some countries get B200s on demand, unlike their US peers — HildeKuehne · 2026-10-23
- Nvidia's Berlin GTC spotlights humanoid robots and Vera Rubin AI supercomputing — emmanuelvivier · 2026-10-23