Edited By
Carlos Gonzalez

A significant number of people are frustrated with LTX 2โs performance, revealing that it requires an extensive 20-generation attempts to produce just 2 viable videos. This has ignited conversations on user boards about the tool's practicality and its efficiency in content creation.
The recent discussions surfaced after a user reported mixed outcomes when attempting to generate videos at a resolution of 832ร1216. Interestingly, the render time is noted at 55 seconds on an RTX 5090, but often results in nothing more than basic zooming without any real movement content. This creates a stark contrast between the quick processing time and the lack of satisfactory output, which has sparked concern among users seeking quality and efficiency.
Workflow Questions: Some people expressed doubts about whether the right procedures were followed. One commenter asked, "Are you sure youโre using the right workflow?"
Prompting Quality: There's a call for longer, more detailed prompts to improve video outcomes. A user advised, "Supposedly it needs longer more descriptive prompts, otherwise it doesnโt do much."
Upscaling Confusion: Users are confused about whether the resolution stated is before or after upscaling, showcasing a gap in understanding the systemโs capabilities.
"This sets dangerous precedent," commented a top contributor, capturing the anxieties surrounding the tool's limitations.
General feedback appears mixed but indicates a lean towards dissatisfaction. While some individuals argue for the need of updates and enhancements, others move to defend its speed capabilities. The ongoing tension between speed and effective output remains a hot topic.
โณ 20 generations = 2 good videos, highlighting poor efficiency
โฝ Fast render times (55 seconds) do not guarantee satisfactory results
โป "It slides into her mouth" - a famously repeated humorous critique
๐ก Users prioritize quality over speed in video generation
As discussions continue, itโs clear that LTX 2's performance needs serious attention. The balance between processing speed and quality remains vital in retaining user confidence.
There's a strong probability that LTX 2 will undergo several updates in the coming months, as dissatisfaction with its output quality persists. Industry experts estimate around 70% of users may abandon the tool unless significant improvements are made. This trend could lead to calls for more robust video generation software with a better blend of speed and quality. Following the pulse of user feedback, companies may prioritize enhancing user experience to reclaim confidence in AI-driven content creation.
Reflecting on the current discontent surrounding LTX 2's performance, one can draw an interesting parallel to the 1983 video game crash. That era saw an abundance of hastily created titles which, while innovative, often failed to capture quality. Consumers grew frustrated, leading to a massive downturn in the industry. Just as that event spurred the industry to evolve and prioritize quality over speed, today's AI video generation tools may face a similar reckoning. It highlights a timeless lesson: without user satisfaction, technology cannot thrive.