AI Video Generation is live on Venice: A Complete Guide
Blog post from Venice
Venice has launched a new video generation feature for all users, allowing them to create videos using both text-to-video and image-to-video models, including advanced options like OpenAI's Sora 2 and Google's Veo 3.1. These models offer varying levels of privacy, with private models ensuring end-to-end privacy and anonymized models providing high-quality results while protecting user identity through anonymity. Users can create videos by describing scenes in text or animating existing images, with customizable settings for video length, aspect ratio, and resolution. The platform operates on a credit system called Venice Credits, which can be replenished through daily DIEM stakes, direct purchases, or USD balance, and credits are only charged for successful video generations. Venice also provides detailed tips for users to craft effective prompts that result in high-quality, compelling videos, encouraging a balance between detailed direction and creative freedom for the AI models.
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