Wan 3.0 Video

Wan 3.0 Video — All-in-One AI Video Generation Model

What is Wan 3.0 Video?

Wan 3.0 Video is Alibaba's all-in-one video generation model, the newest release in the Wan family from Tongyi Lab. Where earlier versions split the work across separate models, Wan 3.0 folds text-to-video, image-to-video, reference-to-video, and video editing into a single endpoint. You give it a prompt, a first and last frame, reference images, reference clips, reference audio, or even a document, and the model infers what you are asking for and renders it.

The headline change is length: Wan 3.0 generates up to 30 seconds of video in a single pass at 30fps, double its predecessor. That is long enough for continuous camera moves and one-take shot language instead of the short fragments most models cap out at. It also generates a native audio track alongside the video, in the same pass, with multilingual voice output.

Key Features

• •One model, four modes: text-to-video, image-to-video, reference-to-video, and video editing, selected automatically from the media you attach.
• •Up to 30-second single-pass generation, or -1 for smart duration that matches your prompt and source.
• •Native audio generated with the video, not dubbed on afterward.
• •480P, 720P, and 1080P output across six aspect ratios plus an adaptive mode.
• •Rich inputs: first frame, last frame, up to 10 reference images, reference video or audio clips, and document references (PPT, PDF, DOC, XLS, and more).
• •First-and-last-frame control for precise shot framing.

Best Use Cases

Wan 3.0 fits filmmaking and short drama, social media and advertising, e-commerce product demos, character animation, and document-to-video workflows. The 30-second window lets a single generation hold a complete exchange, camera move, or transition without stitching. Reference-to-video keeps characters, props, spaces, and style consistent across shots, which suits branded content and recurring characters. Document input turns a slide deck, spreadsheet, or PDF into an explainer or promo in one upload, making it a practical tool for marketing and educational video.

Prompt Tips and Output Quality

Write cinematic, specific prompts: name the subject, the motion, the camera move, the lighting, and the ambient sound you want in the audio track. Keep prompt_extend on for short prompts so the model enriches detail automatically. Use first-and-last-frame control when you need an exact start and finish, and reference images for consistent identity. Output realism is strong on faces, micro-expressions, and reference fidelity; audio texture and on-screen text rendering are the areas Alibaba flags as still improving, so verify any in-frame typography.

How to Use Wan 3.0 Video

Wan 3.0 Video is a single model that handles text-to-video, image-to-video, reference-to-video, and video editing. You pick the mode simply by what you attach: a prompt alone runs text-to-video, a first frame runs image-to-video, adding a last frame gives first-and-last-frame control, and reference images, clips, or documents run reference-to-video.

Choosing the right inputs

• •Text-to-video: write a detailed prompt and set aspect_ratio for framing. Keep prompt_extend on for short prompts.
• •Image-to-video: supply image as the first frame, and optionally last_frame to lock the ending of the shot.
• •Reference-to-video: add up to 10 reference_images for consistent subjects, reference_videos for motion or style, and audio_url for lip-sync.
• •Editing: pass a clip via reference_videos and describe the change; use duration -1 to match the source length.

Getting quality output

Write cinematic prompts that name the subject, motion, camera move, lighting, and the ambient sound you want in the native audio track. Use negative_prompt to remove unwanted objects or artifacts. Set resolution to 480P for fast previews and iteration, then 1080P for final delivery. Set a fixed seed when you need reproducible results.

Recommended Settings

• •Quick preview: resolution 480P, duration 5, prompt_extend true, audio on.
• •Social clip: resolution 720P, aspect_ratio 9:16, duration 8 to 15.
• •Cinematic final: resolution 1080P, aspect_ratio 16:9, duration up to 30.
• •Consistent character: add reference_images, keep seed fixed, verify frame one against the final frame.
• •Document-to-video: attach a deck or PDF as a reference, write a prompt describing the desired narrative, and let smart duration size the clip.

Keep audio enabled for finished videos since it costs nothing extra, and add watermark when you need an AI-generated disclosure.

Can Wan 3.0 make videos longer than 30 seconds?

A single pass tops out at 30 seconds. Longer narratives are built with the video extension capability rather than one call.

Does Wan 3.0 generate audio?

Yes. Audio is on by default and produced in the same pass as the video, with multilingual voice output. Toggling audio does not change pricing.

What resolutions and aspect ratios are supported?

480P, 720P, and 1080P, with 16:9, 4:3, 1:1, 3:4, 9:16, and an adaptive ratio that follows your input.

What inputs can it take?

Text, images (first frame, last frame, up to 10 reference images), reference video and audio clips, and documents such as PPT, PDF, DOC, and XLS.

Is there a 4K tier or open weights?

No. Output caps at 1080P, and Alibaba has not published open weights for Wan 3.0; earlier Wan releases were the open ones.

How do I keep a character consistent across a shot?

Supply reference images and, where possible, first-and-last-frame control, then check frame one against the final frame for identity drift.