Prompting LTX 2.3: The Techniques That Actually Work
LTX 2.3 is capable of producing impressive videos locally, but it is also far more demanding than most image generation…
Author: GeeKanJi
Software development specialist with over 20 years of experience and an active contributor to various open-source projects. Today, my work is primarily focused on artificial intelligence. Every breakthrough in AI brings new opportunities, along with challenges and risks that must be carefully understood and addressed.
Find me on X or GitHub.
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How to link and manage Markdown files in VS Code without breaking them
With the massive integration of AI agents, local Large Language Models (LLMs), and automated workflows into developer environments, Markdown has…
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Speedrunning speech synthesis: dockerized faster-qwen3-tts deployment on Blackwell architecture
The open-source speech synthesis landscape changed significantly with the release of the Qwen3-TTS family. However, running these highly expressive models…
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OmniNFT for LTX-2.3: Alignment via reinforcement learning
The LTX-2.3-OmniNFT-RL-Lora_bf16.safetensors file, hosted on Kijai’s ComfyUI repository, is drawing significant curiosity from the open-source AI video community. Far from being a standard…
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Why Your Video Player is Sabotaging Your Production (And What to Choose in 2026)
I. The Video Playback Paradox: Fidelity vs. Complacency In the world of broadcasting, a good player is one that manages…
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LTX-2.3 vs Wan-2.2: Which Open-Source AI Video Model Should You Run Locally in 2026?
The 2026 Sora shutdown was a wake-up call: depending on a single giant for video creation is a strategic risk. As proprietary…
