Wan3.0 – Alibaba's WanXiang Latest Video Generation Large Model

1. What is Wan3.0

Wan3.0 is the latest video generation large model launched by Alibaba Cloud's WanXiang team, achieving comprehensive upgrades in generation duration, multimodal input, consistency maintenance, and realism. This model can generate 30-second videos in a single run and for the first time supports input from document formats such as doc, xls, ppt, pdf, and md, directly transforming static office documents into dynamic video content. It excels in character portrayal, scene reconstruction, and cross-modal integration, making it applicable across a wide range of scenarios including film production, advertising, design creativity, and cultural tourism dissemination.

Image source: Official article

Technical Positioning and Domain: Wan3.0 belongs to the field of computer vision and multimodal generation, focusing specifically on video content generation tasks. Compared to current mainstream video generation models, Wan3.0 sets new benchmarks in long video generation (30 seconds), multimodal input integration (especially document formats), and character consistency. It is positioned as a production-grade video generation tool, aiming to lower the barrier to video creation and meet the high-quality video needs of both professional creators and general users.

Development Background: Developed by Alibaba Cloud's WanXiang team, which has deep technical expertise in the video generation domain. From Wan1.0 to Wan3.0, the model has undergone eight iterations, continuously optimizing generation quality, duration, and consistency. Alibaba Cloud's strengths in cloud computing and large model infrastructure provide Wan3.0 with robust computational power and ecosystem integration capabilities, enabling rapid iteration and market deployment.

Core Value: Wan3.0 addresses the core pain points of traditional video generation models, such as short generation duration (typically 5–10 seconds), limited input modalities (only text or images), and poor character consistency. By supporting 30-second long videos and document inputs, it significantly reduces the threshold for video production, allowing non-professional users to quickly generate high-quality video content. At the same time, it offers more flexible control options for professional creators. Its per-second billing model also reduces the cost of commercial use.

2. Key Features

• 30-Second Long Video Generation: Generate a 30-second video in one go, with support for intelligent duration recommendation and video extension. Users no longer need to manually calculate the length; the system automatically recommends the optimal length based on the input content and allows for further extension to meet full narrative requirements, suitable for short films, advertisements, and educational content.

• Multimodal Universal Input: Supports text, images, audio, video, and document formats such as doc/xls/ppt/pdf/md as references for generation. This is the first time that office documents can be directly converted into videos. Users can upload a PPT or PDF and automatically transform it into a dynamic presentation or educational video, greatly expanding the source of materials for video creation.

• Real-World Reconstruction: Characters are portrayed with unique appearances, with natural coordination between facial features, skin, micro-expressions, and body movements. In group scene scenarios, different characters express emotions subtly and realistically. The model simulates real-world rules in terms of lighting, materials, and physical motion, resulting in videos with high visual realism.

• Universal Reference Consistency: Accurately replicates key dimensions such as facial features, hairstyle, clothing, props, spatial relationships, and style. During multi-shot generation or video extension, the appearance of the same character or scene remains consistent, avoiding issues like "face switching" or style drift, which are key technical challenges in the video generation field.

• Video Editing Capabilities: Supports modification of visuals, plot, and dialogue to enable fine-tuned adjustments to video content. Users do not need to regenerate the entire video to make localized changes to specific parts, improving creation efficiency. This feature allows for secondary editing of already generated videos, similar to the "replace" function in video post-production software.

• Multiresolution Output: Supports three resolution options: 480P, 720P, and 1080P, to meet quality requirements for different application scenarios. 480P is suitable for quick previews and low-cost generation, 720P balances quality and cost, and 1080P meets the requirements for professional-grade video production. Users can flexibly choose based on the target platform (e.g., social media, TV advertisements).

• Intelligent Duration Recommendation: Automatically recommends the optimal video length based on the complexity and style of the input content, simplifying the parameter setup process. For example, inputting a product description text will result in a recommended 15–30 second product showcase video; inputting a complete story script will recommend a 30-second narrative video.

3. How to Use

1. Access the official platform: Open your browser and visit official entry points such as the Alibaba Cloud BaiLian platform (bailian.aliyun.com), WanXiang official website, or the Qwen APP. First-time users need to register an Alibaba Cloud account and complete real-name authentication. Some platforms may offer free trial quotas.

2. Select input modality: Choose the input type in the creation interface. Wan3.0 supports text, images, audio, video, and documents (doc/xls/ppt/pdf/md). Users can upload a single file or a combination of multiple files. For example, upload a PPT file as the content framework and add a descriptive text as the style guidance.

3. Enter prompts: Describe the desired video content, style, and cinematography in the prompt box. Prompts should include elements such as subject, action, environment, emotion, and camera movement. The model will automatically schedule and fuse multi-modal input information. It is recommended that prompts be clear and specific, such as "city night scene, drone aerial shot, traffic lights and car lights, cyberpunk style."

4. Set generation parameters: Choose the video resolution (480P/720P/1080P), use the intelligent duration recommendation feature, or manually set the video length (maximum 30 seconds). You can also choose to enable the video extension feature. Note: The higher the resolution, the longer the generation time and the higher the API quota or cost consumption.

5. Generate and preview: Click the generate button to start processing. Generation time depends on input complexity, resolution, and duration, and typically completes within a few minutes. After generation, you can view the results in the preview window, which supports frame-by-frame inspection.

6. Edit and download: If you are not satisfied with the generated result, you can use the video editing feature to modify the visuals, storyline, or dialogue. After editing, you can regenerate only the affected parts without starting over. Once confirmed, click the download button to save the video file (usually in MP4 format). After downloading, you can perform further post-processing as needed.

Notes: The document input feature currently supports common office formats. For documents containing complex charts, animations, or embedded media, parsing performance may be limited. It is recommended to simplify the document structure first. Avoid including sensitive or non-compliant content in the prompts, as generation may be blocked. Under the per-second billing model, generating longer videos incurs higher costs. It is recommended to first use 480P for previewing, and then upgrade the resolution once the effect is confirmed.

4. Pros and Cons Analysis

5. Comparative Analysis with Similar Tools

Selection Recommendations: For creators requiring long-form video storytelling (such as short films, advertisements, or educational videos) and prioritizing character consistency, Wan3.0's 30-second generation capability and document input function offer unique advantages, especially for quickly converting office materials like PPTs and PDFs into videos. If budget is a concern and longer durations are not required, Kuaishou Keling 3.0's subscription-based pricing model may be more cost-effective. For high-end film projects emphasizing realism and physical simulation, keep an eye on OpenAI Sora (though its availability is limited). Runway Gen-3 is well-suited for creative short videos and stylized content, with a more mature editing workflow.

Scenario-Based Recommendations: In advertising and film production, Wan3.0's document input and long video generation capabilities can significantly improve efficiency. In the realm of social media short videos, Keling 3.0 and Runway offer faster generation speeds and stronger community ecosystems. For enterprise users requiring local deployment or customization, none of the mainstream models are currently open-sourced, so reliance on cloud-based APIs is necessary.

6. Editor's Summary

Wan3.0 demonstrates a clear direction of technological innovation in the field of video generation. Its ability to generate 30-second long videos addresses the common duration limitations of current models, making it possible for AI video to transition from "fragmented" to "narrative" formats. The support for multimodal inputs, especially document formats, breaks down the barriers between office software and video creation, offering practical application value. In terms of character depiction and consistency, Wan3.0 achieves a high level of visual realism and coherence through its prompt engineering hub and unified multimodal understanding architecture, placing it ahead of similar products in the market.

From a practical standpoint, Wan3.0's per-second billing model lowers the barrier to commercial use, allowing users to flexibly choose resolutions based on their needs and manage costs effectively. For industries such as film production, advertising, marketing, and education, Wan3.0 can significantly shorten video production cycles and reduce reliance on live-action filming and post-production teams. However, the current model is not open-sourced and is entirely dependent on the Alibaba Cloud platform, which limits its applicability in privacy-sensitive scenarios and offline environments. While the document input feature is innovative, its ability to parse complex documents still requires improvement.

Wan3.0 is suitable for a wide range of users, including advertising professionals who need to quickly generate promotional videos, educators who wish to animate their course materials, film enthusiasts seeking low-cost short video production, and corporate teams looking to convert product documentation into presentation videos. For professional video creators, Wan3.0 can serve as a tool for generating ideas and creating rapid prototypes, which can then be refined using traditional post-production software.

Looking ahead, with further iterations of Wan3.0, we anticipate developments in the following areas: open-sourcing model weights to foster community innovation, improving the precision of document parsing, expanding the depth of video editing capabilities, and reducing the cost of generating long-form videos. The continued investment by the Alibaba Cloud Wanxiang team in the video generation domain is expected to position Wan3.0 as a key component of the video generation infrastructure.

7. Application Scenarios

• Film and Video Production: Leverage the model's ability to generate 30-second long videos and realistically reconstruct real-world scenes to produce AI-driven short films, music videos, and vlogs at a low cost. Creators can input scripts or storyboard descriptions, and the model can generate coherent multi-shot videos, ensuring character consistency for smooth storytelling. Ideal for independent filmmakers, short video teams, and content creators.

• Advertising and Marketing: Break through the limitations of text and images by generating product showcase and brand narrative videos for industries such as home appliances, automobiles, 3C electronics, and fashion. Upload product images and selling point documents, and the model will automatically generate visually striking ad clips, supporting multi-resolution outputs to adapt to various distribution channels.

• Design and Creativity: Convert UI interaction demonstrations, software feature animations, and data visualizations directly into dynamic works. Designers can upload design drafts or prototype documents and input action descriptions to generate dynamic demonstration videos, eliminating the tedious process of animation creation and improving the efficiency of design proposals.

• Culture and Tourism Promotion: Achieve digital representation of city image films, natural landscapes, and cultural attractions without the need for large-scale on-site filming, at a low cost. Upload scenic area images or introduction documents, and the model will generate cinematic promotional videos, supporting style adjustments (such as ancient style, cyberpunk, etc.), aiding in the digital marketing of culture and tourism.

• Office and Education: Upload documents such as PPT, PDF, and Word to automatically generate teaching materials, business reports, and product demonstration videos. Teachers can convert lesson plans into video courses, and companies can transform product manuals into training videos, enhancing the efficiency and appeal of information delivery.

• Social Media Content Creation: Quickly generate short videos suitable for platforms like Douyin, Xiaohongshu, and YouTube Shorts. Users can input trending topics or creative scripts, and the model will generate visually appealing content, supporting intelligent duration recommendations to meet the time requirements of different platforms.

8. FAQ

Q: Is Wan3.0 free to use?
A: Wan3.0 offers commercial services through platforms such as Alibaba Cloud's BaiLian. It typically provides a free trial quota (subject to platform promotions). For official use, a per-second billing model is applied: 480P at 0.3 RMB per second, 720P at 0.6 RMB per second, and 1080P at 1.2 RMB per second. The cost to generate a 30-second 1080P video is 36 RMB.

Q: How to generate a video using a document?
A: Upload document files such as doc, xls, ppt, pdf, or md in the creation interface. The system will automatically parse the document content (text, tables, images, etc.). Then input prompt words to describe the video style and cinematography. The model will convert the document content into a video. It is recommended to use clear document structures and simple layouts for better generation results.

Q: What video resolutions does Wan3.0 support?
A: Wan3.0 supports three resolutions: 480P, 720P, and 1080P. Higher resolutions result in better video clarity, but also longer generation times and higher costs. It is recommended to first preview with 480P and then upgrade to a higher resolution once the effect is confirmed.

Q: What can the video editing features modify specifically?
A: The features support modifying visual elements (such as replacing the background or adjusting the color tone), plot content (such as changing character actions or event order), and dialogue (such as adjusting the text of conversations). After modification, the model will regenerate the corresponding segments while maintaining consistency with the rest of the video. Currently, frame-by-frame fine-tuning is not supported, and complex modifications are recommended to be done using professional video editing software.

Q: Does Wan3.0 support API calls?
A: Yes, Wan3.0 provides API interfaces through the Alibaba Cloud BaiLian platform, allowing developers to integrate it into their own applications or workflows. API calls are also billed on a per-second basis, and SDKs and documentation are available for support. For specific integration methods, please refer to the official Alibaba Cloud BaiLian documentation.

Q: How is role consistency performed in multi-person scenarios?
A: In the all-inclusive reference consistency feature, the model locks in the characteristics of the main character, such as facial features, hairstyle, clothing, and props, and maintains these features across multiple shots and extended video sequences. In multi-person group scenes, each character can maintain their own individual consistency to avoid confusion. The actual effect depends on the quality of the input reference materials and the clarity of the prompt words.

Q: What is the generation speed of Wan3.0?
A: Generation speed is affected by factors such as input complexity, resolution, and duration. Typically, generating a 30-second 1080P video takes 5–15 minutes, while 480P videos are faster. Alibaba Cloud platform dynamically adjusts computing resources based on current load, and there may be slight delays during peak hours.

9. Project Links

• Wanxiang Official Website (Wanxiang Product Page on Alibaba Cloud): https://wanxiang.aliyun.com/
• Bailian Platform (Official Experience Entry): https://bailian.aliyun.com/
• GitHub Organization (Wan-Video, currently only open-sourcing Wan2.1, Wan3.0 open-source version not yet released): https://github.com/Wan-Video
• Hugging Face Organization (Wan-AI, currently only hosting Wan2.1 weights): https://huggingface.co/Wan-AI