Shortify Ads: Practice of a Multi-Model Collaborative AI Video Generation Platform

Shortify Ads is a web-based AI video generation platform. By integrating multiple large models such as Kimi, NVIDIA Nemotron, and PixVerse, it enables functions like text-to-video generation, long video clip extraction, and multi-modal guided content creation. It aims to lower the video production threshold for small and medium-sized enterprises and individual creators, and uses a multi-model collaborative architecture to improve overall performance.

Video is the core carrier for digital marketing and social media communication, but the threshold for high-quality production is high. AI video generation faces four major challenges: text understanding, visual generation quality, long video processing, and multi-modal fusion. Shortify Ads was developed to address these challenges, using a multi-model collaborative architecture to achieve comprehensive video creation functions.

The core concept is "Let professional models do what they're good at":

• Kimi is responsible for prompt optimization, converting users' vague inputs into professional prompts;
• NVIDIA Nemotron handles multi-modal analysis, extracting visual features and themes from reference materials;
• PixVerse 5.6 serves as the video generation engine, outputting high-quality and smooth videos. Architecture advantages: Each module can be independently optimized and upgraded, and flexibly replaced.

1. Text-to-Video Generation: Users input text descriptions, which are optimized into prompts by Kimi before being sent to PixVerse for video generation. This is suitable for creating promotional short films from scratch;
2. Long Video Clip Extraction: Intelligently identifies key scenes to generate condensed short videos, facilitating content reuse;
3. Multi-Modal Guided Creation: Combines inputs like text, images, and videos, which are analyzed by Nemotron to guide PixVerse in generating videos that meet requirements.

Applicable scenarios:

• Social media ads: Quickly generate multiple versions of materials for A/B testing;
• Product display videos: 360-degree display of e-commerce products to improve conversion rates;
• Content creator assistance: Generate drafts or materials to save time;
• Enterprise marketing materials: Small and medium-sized enterprises can produce professional promotional videos without a professional team.

• Model Coordination Delay: Optimize the calling process and process independent tasks in parallel;
• Cost Control: Intelligent caching, request merging, and usage control;
• Generation Quality Control: Provide preview, editing, and re-generation functions;
• Video Format Compatibility: Support multiple output formats and parameter configurations.

Limitations: Video length, character consistency, etc., still need improvement, and generated content may require manual editing. Future trends: Longer videos, better consistency, more precise motion control, richer style options, and enhanced multi-modal capabilities. Conclusion: Shortify Ads demonstrates the potential of multi-model collaboration in AI video generation, providing references for developers and marketers, and promoting simpler and more efficient video creation.