What are Open Source Models for Storyboarding?
Open source models for storyboarding are specialized AI systems designed to create dynamic video sequences from text descriptions or static images, enabling creators to visualize narrative concepts in motion. These models utilize advanced architectures like Mixture-of-Experts (MoE) and diffusion transformers to generate smooth, natural video sequences that help filmmakers, animators, and content creators rapidly prototype visual narratives. They democratize access to professional-grade storyboarding tools, accelerate the pre-production process, and enable creators to experiment with visual storytelling concepts before committing to expensive production workflows.
Wan-AI/Wan2.2-T2V-A14B
Wan2.2-T2V-A14B is the industry's first open-source video generation model with a Mixture-of-Experts (MoE) architecture, released by Alibaba. This model focuses on text-to-video (T2V) generation, capable of producing 5-second videos at both 480P and 720P resolutions. It features a high-noise expert for early layout stages and a low-noise expert for detail refinement, incorporating meticulously curated aesthetic data with detailed labels for lighting, composition, and color—perfect for precise cinematic storyboarding.
Wan-AI/Wan2.2-T2V-A14B: Cinematic Text-to-Video Pioneer
Wan2.2-T2V-A14B is the industry's first open-source video generation model with a Mixture-of-Experts (MoE) architecture, released by Alibaba. This model focuses on text-to-video (T2V) generation, capable of producing 5-second videos at both 480P and 720P resolutions. By introducing an MoE architecture, it expands the total model capacity while keeping inference costs nearly unchanged; it features a high-noise expert for the early stages to handle the overall layout and a low-noise expert for later stages to refine video details. Furthermore, Wan2.2 incorporates meticulously curated aesthetic data with detailed labels for lighting, composition, and color, allowing for more precise and controllable generation of cinematic styles.
Pros
- Industry's first open-source MoE video generation model.
- Produces videos at both 480P and 720P resolutions.
- Precise cinematic control with aesthetic data labels.
Cons
- Limited to 5-second video sequences.
- Requires understanding of MoE architecture for optimal use.
Why We Love It
- It revolutionizes text-to-video storyboarding with its groundbreaking MoE architecture and precise cinematic control capabilities.
Wan-AI/Wan2.2-I2V-A14B
Wan2.2-I2V-A14B is one of the industry's first open-source image-to-video generation models featuring a Mixture-of-Experts (MoE) architecture, released by Alibaba's AI initiative, Wan-AI. The model specializes in transforming static storyboard images into smooth, natural video sequences based on text prompts, with innovative MoE architecture that employs separate experts for initial layout and detail refinement.
Wan-AI/Wan2.2-I2V-A14B: Advanced Image-to-Video Storyboarding
Wan2.2-I2V-A14B is one of the industry's first open-source image-to-video generation models featuring a Mixture-of-Experts (MoE) architecture, released by Alibaba's AI initiative, Wan-AI. The model specializes in transforming a static image into a smooth, natural video sequence based on a text prompt. Its key innovation is the MoE architecture, which employs a high-noise expert for the initial video layout and a low-noise expert to refine details in later stages, enhancing model performance without increasing inference costs. Compared to its predecessors, Wan2.2 was trained on a significantly larger dataset, which notably improves its ability to handle complex motion, aesthetics, and semantics, resulting in more stable videos with reduced unrealistic camera movements.
Pros
- Industry-first open-source I2V model with MoE architecture.
- Transforms static storyboard images into dynamic videos.
- Significantly improved motion stability and realism.
Cons
- Requires high-quality input images for best results.
- MoE architecture may need technical expertise to optimize.
Why We Love It
- It bridges the gap between static storyboards and dynamic video sequences with cutting-edge MoE technology and exceptional motion handling.
Wan-AI/Wan2.1-I2V-14B-720P-Turbo
Wan2.1-I2V-14B-720P-Turbo is the TeaCache accelerated version of the Wan2.1-I2V-14B-720P model, reducing single video generation time by 30%. This open-source advanced image-to-video generation model can generate 720P high-definition videos and has reached state-of-the-art performance levels through thousands of rounds of human evaluation—ideal for rapid storyboard prototyping.
Wan-AI/Wan2.1-I2V-14B-720P-Turbo: High-Speed HD Storyboarding
Wan2.1-I2V-14B-720P-Turbo is the TeaCache accelerated version of the Wan2.1-I2V-14B-720P model, reducing single video generation time by 30%. Wan2.1-I2V-14B-720P is an open-source advanced image-to-video generation model, part of the Wan2.1 video foundation model suite. This 14B model can generate 720P high-definition videos. And after thousands of rounds of human evaluation, this model is reaching state-of-the-art performance levels. It utilizes a diffusion transformer architecture and enhances generation capabilities through innovative spatiotemporal variational autoencoders (VAE), scalable training strategies, and large-scale data construction. The model also understands and processes both Chinese and English text, providing powerful support for video generation tasks.
Pros
- 30% faster generation time with TeaCache acceleration.
- Generates 720P high-definition video output.
- State-of-the-art performance validated by human evaluation.
Cons
- Slightly higher cost compared to standard version on SiliconFlow.
- Requires quality input images for optimal HD output.
Why We Love It
- It delivers the perfect balance of speed and quality for professional storyboarding workflows, with 720P output and 30% faster generation.
AI Model Comparison
In this table, we compare 2025's leading open source models for storyboarding, each with unique strengths. For text-to-video concept creation, Wan2.2-T2V-A14B offers cinematic precision. For image-to-video storyboard animation, Wan2.2-I2V-A14B provides cutting-edge MoE architecture. For rapid HD prototyping, Wan2.1-I2V-14B-720P-Turbo delivers speed and quality. This comparison helps you choose the right tool for your storyboarding workflow.
| Number | Model | Developer | Subtype | SiliconFlow Pricing | Core Strength |
|---|---|---|---|---|---|
| 1 | Wan-AI/Wan2.2-T2V-A14B | Wan | Text-to-Video | $0.29/Video | Cinematic text-to-video with MoE |
| 2 | Wan-AI/Wan2.2-I2V-A14B | Wan | Image-to-Video | $0.29/Video | Advanced I2V with MoE architecture |
| 3 | Wan-AI/Wan2.1-I2V-14B-720P-Turbo | Wan | Image-to-Video | $0.21/Video | 30% faster HD video generation |
Frequently Asked Questions
Our top three picks for 2025 storyboarding are Wan-AI/Wan2.2-T2V-A14B, Wan-AI/Wan2.2-I2V-A14B, and Wan-AI/Wan2.1-I2V-14B-720P-Turbo. Each of these models stood out for their innovation in video generation, performance in transforming concepts to motion, and unique approach to solving storyboarding challenges.
Our analysis shows different leaders for various needs. Wan2.2-T2V-A14B excels at creating initial video concepts from text descriptions with cinematic control. Wan2.2-I2V-A14B is ideal for animating existing storyboard images with advanced MoE technology. For rapid prototyping with high-quality results, Wan2.1-I2V-14B-720P-Turbo offers the best speed-to-quality ratio.