Struggling to Set Up LTX2.3 ComfyUI for Media Generation
Follow a step‑by‑step setup guide for LTX2.3 on multi‑GPU hardware to reduce complexity.
Start with a minimal LTX2.3 workflow and incrementally add GPU‑specific optimizations.
Summary
The user has 40 GB VRAM across three GPUs (two RTX 5060 Ti 16 GB and one RTX 2060 Super 8 GB) and 256 GB RAM, and wants to load a workflow from civitai, adjust it for their hardware, generate media, and measure speed/quality. They face challenges with video generation, including Kijai, multi‑GPU, GGUF, VAE, high/low settings, and overall setup complexity.
Despite experience with local LLMs via llama.cpp, the user finds video generation more complicated and is seeking community advice for a fresh setup and incremental adjustments. They want to avoid spinning wheels and achieve production‑ready generation.
The post highlights the need for best practices to streamline workflow configuration and reduce setup friction.
Key changes
- Hardware: 3 GPUs (2x RTX 5060 Ti 16GB, 1x RTX 2060 Super 8GB) totaling 40GB VRAM, 256GB RAM.
- Goal: load a workflow from civitai, adjust for hardware, generate media, measure speed/quality.
- Facing challenges with video generation: Kijai, multi‑GPU, GGUF, VAE, high/low settings.
- Setup complexity perceived as high; many variables to consider.
- User has experience with LLMs locally via llama.cpp but not with video generation.
- Seeking community advice for a fresh setup and incremental adjustments.
- Wants to avoid spinning wheels and get production‑ready generation.
- Looking for best practices to streamline workflow configuration.