Introducing LTX-2.5, the world model the world builds on.
One of the biggest upgrades yet to the model already powering film, robotics, and real-time workflows. Higher pixel fidelity, multishot scenes that hold together across cuts, and a pretrained foundation built to be finetuned across domains.
Plus: Diffusion Fidelity Rendering, a new rendering approach built for pixel quality that holds up frame by frame, even on a cinema screen.
This isn't a tool you rent. It's a foundation you build on, open and yours.
Meet "Tawan" (ตะวัน means “The sun” 🌞)
20-min Demo
AI Animated Film experiment (full feature is 90 mins)
With a $500 budget and 1.5 months of work, this story is based on my original idea from 2010... and today, the technology is finally ready to bring it to life.
AI showed me that solo creators can now manage an entire animation workflow. No need to pitch to big studios—you can fund yourself and bring your own stories to life. Without AI, this would still be stuck in my head.
(Of course, the quality is still far from high-budget films from big studios that have 300-600 people behind them, but I think the gap will close step by step in the future.)
This animated created by Seedance 2.0 on @dreamina_ai and @kinovi_ai and opening scene by @midjourney - thank you for watching.
“未来的世界属于懂 Token 的人。” —— 出自一位10岁博主之口。
刚换了 Mac Studio 的他,不是为了打游戏,而是为了“养龙虾”(跑多个 AI Agent 协同工作)。他把复杂的 AI 产业链比作一个大蛋糕,从能源层到应用层,层层剖析。
别觉得小孩在过家家,他讲的“Token 是 AI 时代的硬通货”这个观点,可能比很多专家的报告都接近本质。
这届小孩的 AI 认知已经 Next Level 了,建议大人们反复观看,治治我们的“算力焦虑”。👇