My experience testing LTX-2.3 in ComfyUI (on an RTX 5070 Ti)

After intensive runs with LTX-2.3 (using the distilled GGUF Q4_0 version) in ComfyUI, I wanted to share my technical impressions, initial failures, and a surprising breakthrough that originated from an AI glitch. 1. Performance & VRAM (SageAttention is a must!) Running a 22B parameters model is intimidating, but with the SageAttention patch and GGUF nodes, memory management is an absolute gem. On my RTX 5070 Ti, VRAM usage locked in at a super stable 12.3 GB. The first run took about 220 seconds (compiling Triton kernels), but subsequent runs dropped significantly in time thanks to caching.