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© 2026 AISOLO Technologies Pvt Ltd

On this page

  • The Problem with Current AI Video Generation
  • What is ViMax?
  • Key Features
  • Technical Architecture
  • Why ViMax?
  • Quick Start
  • Solving Production Challenges
  • Demo Examples
  • Coming Soon
  • Repository Stats
  • Getting Started Resources
  • Related Posts
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explainx / blog

ViMax: Agentic Video Generation - Director, Screenwriter & Producer All-in-One (2026)

Discover ViMax, the multi-agent AI framework that transforms ideas into complete videos. From script to storyboard to final cut - all automated with character consistency.

May 20, 2026·5 min read·Yash Thakker
AI VideoAgentic AIVideo GenerationMulti-Agent SystemsOpen Source
go deep
ViMax: Agentic Video Generation - Director, Screenwriter & Producer All-in-One (2026)

TL;DR: ViMax is an open-source agentic video generation framework that acts as director, screenwriter, producer, and video generator all-in-one. Input your concept, and it orchestrates scriptwriting, storyboarding, character creation, and final video generation—all end-to-end.


The Problem with Current AI Video Generation

ViMax agentic video generation — a script flowing through clapperboard, storyboard, and reel stages into a finished video frame

Current AI video generation tools face significant limitations:

table · 2 cols
ChallengeDescription
Limited to Short ClipsMost AI tools generate only seconds of footage
Consistency ChaosCharacters and scenes change unpredictably across frames
Visual-Only FocusMissing scripts, audio, narrative structure, and storytelling depth
Manual Reference ManagementTime-consuming acquisition and alignment of reference frames
No Production PipelineEach step requires separate tools and manual intervention

ViMax solves all of these by automating the entire video creation pipeline from narrative input to final video output.

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What is ViMax?

ViMax is a multi-agent video framework that enables automated multi-shot video generation while ensuring character and scene consistency. The system seamlessly translates your ideas into corresponding videos, allowing you to focus on storytelling rather than technical implementation.

With 5.6k GitHub stars and growing, it represents one of the most comprehensive open-source approaches to agentic video generation.


Key Features

Idea2Video

From Spark to Screen

Transform raw ideas into complete video stories through intelligent multi-agent workflows automating storytelling, character design, and production.

python
idea = """
If a cat and a dog are best friends, what would happen when they meet a new cat?
"""
user_requirement = """
For children, do not exceed 3 scenes.
"""
style = "Cartoon"

That's all you need to generate a complete video.

Novel2Video

Smart Literary Adaptation Engine

Transform complete novels into episodic video content with:

  • Intelligent narrative compression
  • Character tracking across chapters
  • Scene-by-scene visual adaptation
  • Retention of key plot developments and dialogues

Script2Video

Unlimited Screenplay Video Creation

Write any screenplay from personal stories to epic adventures, giving you complete control over every aspect of your visual storytelling.

python
script = """
EXT. SCHOOL GYM - DAY
A group of students are practicing basketball in the gym.
John (18, male, tall, athletic) is the star player...
John: (dribbling the ball) I'm going to score a basket!
Jane: (smiling) Good job, John!
"""
user_requirement = """
Fast-paced with no more than 20 shots.
"""
style = "Animate Style"

AutoCameo

Generate Video from Your Photo

Create your own cameo video—become the star who appears across limitless creative scripts, cinematic sequences, and interactive storylines by uploading your photo.


Technical Architecture

Multi-Agent Pipeline

ViMax operates through a sophisticated multi-agent system:

snippet
🧠 INPUT LAYER
├── Ideas & Scripts & Novels
├── Natural Language Prompts
├── Reference Images
├── Style Directives
└── Configs

🧭 CENTRAL ORCHESTRATION
├── Agent Scheduling
├── Stage Transitions
├── Resource Management
└── Retry/Fallback Logic

🧾 SCRIPT UNDERSTANDING
├── Character/Environment Extraction
├── Scene Boundaries
└── Style Intent

🎥 SCENE & SHOT PLANNING
├── Storyboard Steps
├── Shot List
└── Key Frames & Beats

🧪 VISUAL ASSET PLANNING
├── Reference Image Selection
├── Look/Style Guidance
└── Prompt Conditioning

♻️ CONSISTENCY & CONTINUITY
├── Character/Environment Tracking
├── Ref Matching
└── Temporal Coherence

✂️ VISUAL SYNTHESIS & ASSEMBLY
├── Image Generation
├── Best-Frame Selection
├── First/Last-Frame→Video
└── Cut & Timeline Assembly

🚀 OUTPUT LAYER
└── Final Video

Technical Capabilities

table · 2 cols
CapabilityDescription
Intelligent Long Script GenerationRAG-based engine that analyzes lengthy stories and segments them into multi-scene script format
Expressive Storyboard DesignShot-level storyboard design using cinematography language based on user requirements
Multi-camera Filming SimulationDelivers immersive viewing while maintaining character positioning and backgrounds
Intelligent Reference SelectionAutomatically selects reference images from previous timeline to ensure consistency
Automated Image GenerationGenerates prompts to arrange spatial interaction between characters and environment
Consistency CheckUses MLLM/VLM to select best consistent image from parallel generations
Parallel Shot GenerationEnables highly efficient video production across multiple shots

Why ViMax?

table · 2 cols
BenefitDescription
Effortless ProductionOne-prompt to finished video—skip the technical complexity
Complete Creative FreedomNo limits—trailers, short stories, novel chapters, or original concepts
Audio and Video BindingSeamlessly integrate character voice and sound effects
Professional QualityAutomated quality control ensures consistency across every frame
Interactive VideoMake your own cameo—interact in your own short stories

Quick Start

Prerequisites

  • OS: Linux, Windows
  • Python with uv package manager

Installation

bash
git clone https://github.com/HKUDS/ViMax.git
cd ViMax
uv sync

Configuration

Configure your models in configs/idea2video.yaml:

yaml
chat_model:
  init_args:
    model: google/gemini-2.5-flash-lite-preview-09-2025
    model_provider: openai
    api_key: <YOUR_API_KEY>
    base_url: https://openrouter.ai/api/v1

image_generator:
  class_path: tools.ImageGeneratorNanobananaGoogleAPI
  init_args:
    api_key: <YOUR_API_KEY>

video_generator:
  class_path: tools.VideoGeneratorVeoGoogleAPI
  init_args:
    api_key: <YOUR_API_KEY>

working_dir: .working_dir/idea2video

Using MiniMax as Chat Model Provider

MiniMax offers OpenAI-compatible API access to models with up to 1M token context:

yaml
chat_model:
  init_args:
    model: MiniMax-M2.7
    model_provider: minimax
    api_key: <YOUR_MINIMAX_API_KEY>
table · 3 cols
ModelContextNote
MiniMax-M2.71M tokensLatest, recommended
MiniMax-M2.7-highspeed1M tokensFast variant
MiniMax-M2.5204K tokensStable
MiniMax-M2.5-highspeed204K tokensFast variant

Solving Production Challenges

ViMax addresses the core challenges of AI video production:

Reference Images

Problem: Time-consuming acquisition, organization, and alignment of reference frames. Solution: Intelligent reference image selection from previous timeline ensures accuracy of characters and environments.

Consistency Check

Problem: Image generators may produce unusable images even with correct references. Solution: Parallel image generation with MLLM/VLM-based selection of best consistent image.

Scripts Generation

Problem: Professional videos need rich information density and structured design. Solution: RAG-based long script design engine that preserves key plot developments and dialogues.

Storyboard Design

Problem: Converting stories into visual narratives requires cinematography expertise. Solution: Automated shot-level storyboard design using cinematography language.

Shot Design

Problem: Creating coherent camera work with proper angles and transitions. Solution: Multi-camera filming simulation with consistent character positioning.

Development Delays

Problem: Ensuring consistency across hundreds of shots in long-form content. Solution: Character/environment tracking with temporal coherence across all frames.

Production Efficiency

Problem: Traditional video creation involves multiple specialists and lengthy workflows. Solution: One-prompt to finished video with automated quality control.

Scaling AI Video

Problem: AI videos are usually only seconds long; long videos require complex continuity. Solution: Multi-storyboard design with cross-scene continuity processing.


Demo Examples

ViMax can generate complete videos from scratch including:

  • Cat and dog friendship stories
  • Underwater exploration scenes
  • Otter adventures
  • Aircraft carrier sequences
  • Vampire narratives
  • Skydiving action
  • Tree growth timelapses
  • AutoCameo sky castle scenes
  • AutoCameo pet interactions

Coming Soon

  • Google AI Studio API config ✅
  • Dev mode branch
  • AutoCameo integration
  • Enhanced shot planning
  • New features

Repository Stats

  • Stars: 5.6k
  • Forks: 943
  • Contributors: 9
  • License: MIT
  • Language: Python 100%

Getting Started Resources

  • GitHub: github.com/HKUDS/ViMax
  • Documentation: README and Communication.md in repository
  • Example Configs: configs/idea2video.yaml, configs/script2video.yaml

Related Posts

  • MiniMax H3: open-weight video model — and its license fine print
  • Goal Mode AI Agents Complete Guide 2026
  • What is MCP Model Context Protocol Guide
  • Agency Agents AI Specialists Complete Guide 2026

This post covers ViMax as of May 2026. The project is actively developed with new features being added. Visit the GitHub repository for the latest updates.

Spotted something out of date? Let us know.
Yash Thakker

Written by

Yash Thakker

Yash is an AI expert with over 300K learners. Join his workshops →

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