LTX-2 is quickly becoming one of the most talked-about open video models in the ComfyUI ecosystem. As a major update over the original LTX release, it brings noticeable improvements in motion coherence, prompt responsiveness, and overall visual stability—especially for text-to-video and image-to-video workflows. Naturally, this has sparked a wave of experimentation, custom nodes, and community-shared ComfyUI workflows.
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This article is not a step-by-step guide on how to run LTX-2. Instead, it serves as a curated collection of useful resources: official references, community workflows, prompting guides, and practical links that help you understand what LTX-2 can do and how others are already using it inside ComfyUI. If you’re evaluating LTX-2, building your own workflows, or deciding whether it’s worth integrating into your existing pipeline, these resources should save you time and give you a clearer picture of the current state of the model.
Models
- Official Models: Lighttricks
- GGUF Models:
Workflows
- Official workflows: Lighttricks
- ComfyUI native workflows: Update your ComfyUI to the latest version and click on Templates. Search for ltx-2.
- GGUF workflows:
General Tips and Troubleshooting
- Prompting Guide: Lightricks
- Required Models and Nodes: “Link to the models to download (thanks to the excellent work by Kijai): https://huggingface.co/Kijai/LTXV2_comfy/tree/main”
- Updating Custom Nodes: “Download or update the node: ComfyUI-KJNodes”
- Optimizing for Low VRAM: “I’m able to run distilled Q6_K.gguf from kijai on 3060ti – 8gb VRAM and 16gb RAM.”
- Fixing OOM Issues: “Changing the memory_usage_factor to 0.2 resolved the issues with my second sampler, but I still ran into errors at the VAE Video Decode step.”
Conclusion
LTX-2 is still evolving, but the pace of development around it—especially within the ComfyUI community—is a strong signal of its potential. From improved motion quality to more predictable prompting behavior, it already offers meaningful advantages over earlier versions, even as tooling and workflows continue to mature.
Rather than relying on a single “best” workflow, the most effective way to work with LTX-2 today is to study multiple approaches, understand their trade-offs, and adapt them to your own hardware and creative goals. The resources collected in this article should give you a solid starting point, whether you’re experimenting with short clips, stylized videos, or influencer-style content.
As the ecosystem grows, expect more optimized nodes, better memory handling, and clearer best practices to emerge. Until then, staying connected to official updates and community-shared workflows is the fastest way to get real value out of LTX-2 in ComfyUI.
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