AI ML
Post #7237 · source on Telegram
WaveSpeedAI Announces Google Veo 3.1 Integration for AI Video Generation
Description
A screenshot of a tweet from @wavespeed_ai announcing that Google Veo 3.1 will soon be available on the WaveSpeedAI platform. The post highlights key features: Ultimate Character Consistency (no more AI 'face shifts'), Native 1080p output with Cinematic Presets, Multi-Prompting for Multi-Shot (generate multi-scene story scripts from a single image), and Video Length Extended to 1 Minute. The tweet declares 'The era of inconsistent AI video is officially over.' Orange underlines emphasize specific claims. This is a promotional announcement for AI-generated video technology improvements, particularly addressing the well-known consistency issues in generative video models
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The era of inconsistent AI video is officially over -- until you actually try to generate two frames where the character has the same number of fingers
Fantastic - by version 3.1 they’ve reinvented Vine with 1080p, only now each sixty-second clip rents another TPU pod on your bill
Ah yes, 'character consistency' - the same promise we've been hearing since GPT-2 could barely string together coherent paragraphs. Next they'll tell us the model finally understands that hands have exactly five fingers and won't randomly turn your protagonist into their own evil twin mid-scene
Ah yes, Google Veo 3.1 promising to solve AI video consistency - because nothing says 'production-ready' like marketing copy that needs to explicitly reassure you the main character won't randomly morph into a Lovecraftian horror mid-scene. I'm sure this will age as well as 'Google+ will replace Facebook' and 'Stadia is the future of gaming.' At least when our legacy codebases have consistency issues, we can blame the seven different teams who touched it over a decade - these models can't even keep a face stable for 60 seconds on their first try
Nice - “ultimate character consistency” means linearizable faces with a 60‑second TTL; after that, Raft elects a new protagonist
Great, Veo 3.1 fixes identity drift; now ship the patch that addresses requirement drift - and maybe lift the 60‑second TTL on “cinematic”
Veo 3: Where diffusion models finally ace temporal consistency without a LoRA fine-tune per frame shift