Stivio — Image to Video AI Generator | Photos to HD Video

What

Stivio is a browser-based image-to-video AI generator designed to convert static images into 3- to 30-second HD MP4 video clips using natural language text prompts. Targeted at e-commerce merchants, content marketers, and individual creators, it eliminates the need for video editing skills or reshoots by animating product catalog shots, portraits, and historical photos. The platform positions itself as a streamlined production tool that aggregates multiple third-party video models under a unified, credit-based pricing structure.

Features

• Multi-Model Engine Selection: Grants access to six AI video models—including Kling, Wan, MiniMax, and Seedance—allowing users to balance generation cost, optional audio, and motion complexity depending on the model chosen.
• Prompt-Driven Motion Control: Directs camera movement and subject animation via plain-English descriptions, removing the need for manual keyframing or timeline editing software.
• Flexible Durations and Aspect Ratio Preservation: Renders clips from 3 to 30 seconds that match the source image's original aspect ratio, supporting file uploads in PNG, JPEG, and WebP formats up to 10 MB.
• Commercial-Ready HD Exports: Delivers downloadable HD MP4 files with no watermarks on paid tiers, accompanied by stable CDN-hosted share links valid for one year.

Helpful Tips

• Align Engine Choice with Project Budgets: Standard engines such as Kling, Wan, and MiniMax cost 2 credits per second (10 credits for 5 seconds), making them the most cost-effective choices for straightforward social B-roll compared to premium Seedance options.
• Assess Plan Expiration Rules: Evaluate whether your production volume is steady or intermittent; one-time credit packs and yearly allocations never expire, whereas standard monthly subscription credits reset at each billing cycle.
• Leverage Native Fail-Safes: Keep your browser tab open during the 1-to-5-minute generation window to monitor the output, noting that failed rendering attempts are automatically refunded in credits.

OpenClaw Skills

The source documentation does not mention any native integrations, webhooks, or public APIs for Stivio. In a hypothetical implementation within the OpenClaw ecosystem, an agent could monitor an e-commerce catalog or cloud storage folder for newly uploaded product photography, generate optimized motion prompts based on metadata, and trigger video generations for multi-channel marketing campaigns. If connectivity were made available, this automated pipeline would enable merchants to produce dynamic video ad creatives from static inventory assets at scale.