windy-video
Deep royYou are an expert UI/UX designer and full-stack software engineer. Create a comprehensive product specification and functional prototype architecture for an advanced AI Video Generation Web Application named "VividForge AI". The application must support four core creative modalities with a modern, dark-themed, high-productivity interface. ### 1. CORE FUNCTIONAL MODALITIES #### A. Text-to-Video (T2V) - Input: Text prompt field (with negative prompt support), aspect ratio selector (16:9, 9:16, 1:1), and duration control (4s, 8s, 16s). - Style Presets: Cinematic, Anime, 3D Render, Photorealistic, Oil Painting. #### B. Image-to-Video (I2V) - Input: Image upload zone (drag-and-drop) + optional text guidance prompt. - Controls: Motion strength slider (1-10) and camera movement controls (Pan, Tilt, Zoom, Roll). #### C. Frame-to-Video (Interpolation/Keyframing) - Input: Multiple image upload slots (First Frame, Middle Frame, Last Frame) to define key milestones. - Feature: AI generates smooth interpolation transitions between the uploaded static frames. #### D. Motion Control & Character Preservation (Advanced Video-to-Video) - Input 1: "Source Character Image" (Target identity, face structure, and wardrobe style). - Input 2: "Driving Motion Video" (The reference video providing the skeletal movement, expressions, and environment tracking). - Core Processing Logic: * Extract spatial motion vectors and facial landmarks from the Driving Video using optical flow and pose estimation (e.g., ControlNet/AnimateDiff pipelines). * Map the Source Character Image onto the moving actor. * CRITICAL RESTRAINT: Implement strict face-shape, structural geometry, and identity preservation matrixing. The final video character must perfectly maintain the bone structure, eye shape, and proportions of the Source Image character, mapping them precisely onto the expressions and movements of the Driving Video without warping or identity drifting. ### 2. UI/UX ARCHITECTURE & DESIGN SYSTEMS - Theme: Ultra-modern Dark Mode (deep charcoals, slate grays, with vibrant neon purple/indigo accents for active states). - Layout: 3-Column Studio Layout: * Left Sidebar: Navigation between the 4 generation modes (T2V, I2V, Frame, Motion). * Center Canvas: Media workspace. Displays prompt inputs/upload zones when empty, and a robust video player with a timeline grid, play/pause, loop toggle, and high-res download buttons when a video is generated. * Right Panel: Advanced settings contextual to the active mode (Seed control, Frame Rate [24/30/60fps], Guidance Scale, Character Weight slider for Motion Control mode). ### 3. TECHNICAL & CODE REQUIREMENTS Provide a robust blueprint for this app. Include: 1. Complete Tailwind CSS color palette and structural layout configuration. 2. A responsive, fully functional front-end component layout using modern UI best practices. 3. Explicit state management logic handles user uploads, loading/generation placeholder states with micro-animations, and successful video playback. 4. Mock or simulate the backend API response objects for the Character Motion Control pipeline to demonstrate how the image features map onto the video arrays.
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System Requirements
windy-video
Introduction
The "windy-video" project is an advanced AI Video Generation Web Application designed specifically for content creators. This document outlines the system requirements to ensure the application meets the needs of its users by providing a seamless and intuitive experience for generating high-quality videos using AI.
System Overview
The windy-video application will support four core creative modalities: Text-to-Video (T2V), Image-to-Video (I2V), Frame-to-Video, and Motion Control & Character Preservation. The application will feature a modern, dark-themed interface optimized for high productivity, catering to content creators who require efficient and powerful video generation tools.
Functional Requirements
- As a User, I should be able to generate videos from text prompts with style presets and duration controls.
- As a User, I should be able to upload images and generate videos with motion and camera controls.
- As a User, I should be able to upload multiple images to create smooth transitions between frames.
- As a User, I should be able to map a source character image onto a driving motion video while preserving identity.
User Personas
- Content Creator: Primary user who utilizes the application to create engaging video content using AI tools.
- Casual User: Secondary user who may explore video generation for personal projects or learning purposes.
Visuals Colors and Theme
- primary: #1A1A2E (Deep Indigo)
- primary_light: #2E2E4E (Lighter Indigo)
- secondary: #FF6F61 (Coral)
- accent: #FFD700 (Gold)
- highlight: #FF4500 (Orange Red)
- bg: #0D0D0D (Dark Charcoal)
- surface: rgba(29, 29, 39, 0.8)
- text: #FFFFFF (White)
- text_muted: #B0B0B0 (Muted Gray)
- border: rgba(255, 255, 255, 0.1)
Signature Design Concept
The homepage of windy-video will feature an interactive galaxy map where each star represents a different feature or section of the application. Users can click on a star to open a task card, drag to rotate the cluster, and hover to highlight connections between features. This concept will be brought to life using @react-three/fiber and @react-three/drei for 3D interactions, creating an engaging and memorable first impression.
Interaction Model & Motion Direction
The landing page will utilize a "parallax" interaction model, providing a layered depth experience as users scroll. Decorative elements will move at different speeds, creating a dynamic and visually rich first impression. Internal pages will adopt a "static" model to prioritize layout clarity and reading speed.
Non-Functional Requirements
- The application must be responsive and perform optimally across various devices, including desktops and mobile.
- Video processing should be efficient, minimizing wait times for users.
- The interface should be intuitive, allowing users to navigate and utilize features with ease.
Tech Stack
- Frontend: React for Web
- Backend: Python, FastAPI
- Database: MySQL or MariaDB
- AI Models: ControlNet/AnimateDiff pipelines for motion control
- Local Orchestration: Docker, docker-compose
Assumptions and Constraints
- The application is designed primarily for content creators.
- No specific performance benchmarks are set, but efficiency is a priority.
- The application will be compatible across various platforms and devices.
Glossary
- T2V: Text-to-Video
- I2V: Image-to-Video
- AI: Artificial Intelligence
- UI/UX: User Interface/User Experience
This document provides a comprehensive overview of the system requirements for the windy-video project, ensuring a robust foundation for development and design.
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