Swayingleaves/novanova-studio

NovaNova Studio 是一个 Agent 驱动的 AI 创作工作台,集图片生成、视频生成、无限画布与多模型 API 、漫剧短剧生成于一体,为独立创作者和视觉团队打造更智能、更高效的创作体验。

What it solves

Novanova Studio provides a unified visual creation workbench for independent creators and visual teams. It eliminates the need to switch between fragmented tools for image and video generation, prompt engineering, and asset management by integrating them into a single space with a persistent creative context.

How it works

The system uses an infinite canvas as the primary workspace and an AI Agent as the central hub for understanding intent and executing tasks. The workflow follows a structured pipeline:

  1. Intent Understanding: An Agent identifies the user's goal from natural language or reference materials.
  2. Tool Selection: The Agent selects appropriate tools for image/video generation, editing, or canvas manipulation.
  3. Asynchronous Execution: Tasks are queued via Redis Stream and processed by consumers who call various AI providers (OpenAI, Gemini, MiniMax, etc.).
  4. Real-time Feedback: Results and status updates are pushed back to the frontend via Server-Sent Events (SSE).
  5. Context Preservation: All results, prompts, and nodes are saved to a PostgreSQL database, allowing them to be referenced in subsequent iterations.

Who it’s for

  • Independent Creators: Those who need a streamlined workflow for AI-driven visual storytelling.
  • Visual Teams: Teams requiring a centralized, manageable platform for AI asset generation and orchestration.
  • Developers: Those looking to deploy a private AI creation studio with custom model integrations.

Highlights

  • Infinite Canvas: A spatial environment to organize text, reference materials, and AI-generated results in a one place.
  • Agent-Driven Workflow: Agents handle the entire lifecycle from prompt optimization to task orchestration.
  • Multi-Channel Model Support: Flexible integration with providers like OpenAI, Gemini, Anthropic, and custom APIs via request/response templates.
  • Reliable Long-Running Tasks: Uses Redis Stream and task locks to ensure stable execution of time-intensive video generation.
  • Skill-Based Workflows: Supports guided, multi-step creation processes, such as a "first-last-frame-to-video" workflow.
  • Enterprise-Ready: Includes user management, credit systems, object storage integration (COS/OSS/Kodo), and a comprehensive admin backend.

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