Wan 3.0
Up to 30 seconds, 1080p, native audio and multimodal references.
Explore Wan 3.0Create 30-second 1080p cinematic videos with native audio, consistent characters and precise camera control from text, images and references.
No subscription required. Purchased credits never expire.
Explore detailed motion, coherent subjects and synchronized sound across different visual directions.
Use the newest Wan 3.0 model or continue with earlier versions for familiar short-video workflows.
Up to 30 seconds, 1080p, native audio and multimodal references.
Explore Wan 3.0Fast cinematic motion with strong prompt following and smooth output.
Explore Wan 2.7Reliable image-to-video creation with consistent subjects and scenes.
Explore Wan 2.6A proven workflow for short-form AI video generation and iteration.
Explore Wan 2.5Wan 3.0 brings text, image and multimodal reference generation into one browser-based workflow. Instead of treating motion, composition and sound as separate tasks, you can describe the scene, select the visual format, set the duration and generate native audio with the video. The result is a more direct path from a creative brief to a reviewable shot.
The model is most useful when the request reads like a compact production plan. State the subject and action first, then describe the environment, framing, camera path, lighting, visual treatment and sound. For longer scenes, divide the action into clear beats so the model can understand what should change and what must remain consistent.
Choose the input mode based on the material you already trust. Start from text for a new concept, use a first frame when composition or identity matters, and use references when motion, style, audio or narrative context must come from existing material. The Wan 3.0 guide library explains each workflow in more detail.
For product and advertising work, define the object, surface, logo placement and required final framing before adding visual style. For character-led scenes, keep identity details and wardrobe consistent across every reference. Social clips benefit from a clear aspect ratio and a single attention-driving action, while film previsualization benefits from explicit lens language, blocking and camera movement.
Teams can also use the generator as a structured review tool. Save the prompt, input references, settings and output together, then change one variable per iteration. This makes feedback more specific and helps separate model limitations from unclear direction. When a shot is ready for production settings, compare available credit packs and confirm commercial usage requirements on the pricing page.
Starting with the right source material gives the model clearer direction and makes each test more informative.
Use a written shot brief when you know the subject, action, setting, camera movement and sound you want. This is the fastest way to explore a new concept without preparing source media.
Explore text to videoBegin from a first frame when composition, product appearance or character identity matters. Add an optional last frame when the shot needs to arrive at a specific ending.
Explore image to videoCombine images, video, audio, a document or a public link when the scene needs richer direction for identity, motion, rhythm, style or narrative context.
Explore reference videoWan 3.0 produces clean, high-resolution frames with coherent textures, lighting and motion across longer sequences.
Use reference images and clear prompts to preserve appearance, wardrobe, proportions and visual identity while the scene evolves.
Direct push-ins, tracking shots, pans, close-ups and wide establishing views using natural language.
Add ambient sound, effects, dialogue cues and music direction directly to the prompt for synchronized audiovisual output.
| Capability | Wan 3.0 | Wan 2.7 | Typical AI video |
|---|---|---|---|
| Maximum duration | 30 seconds | Short clips | 5-10 seconds |
| Resolution | Up to 1080P | Up to 1080P | Varies |
| Native audio | Yes | Limited | Often separate |
| Reference inputs | Image, video, audio, files, links | Image | Text and image |
| Character consistency | Advanced | Strong | Model dependent |
AI video usually improves through focused iteration. Keep the first test simple, inspect what changed, and only add complexity after the core shot works.
Decide whether the test is proving a character, a camera move, a product shot or an audio idea. A focused goal makes the result easier to judge.
Describe what happens before adding visual style. This prevents important actions and composition instructions from getting lost among aesthetic terms.
Assign each reference a job: identity, opening composition, motion, pacing, sound or written context. Avoid inputs that point in conflicting directions.
Test a short Standard generation first. Increase duration, resolution or priority only after the subject, motion and camera behavior are working.
For a complete prompt structure, read the Wan 3.0 prompt guide. To see how prompts translate into finished clips, review the video showcase.
Turn product concepts into polished social ads and launch videos without a production crew.
Explore shots, movement, lighting and atmosphere before committing to production.
Show products in motion with controlled scenes, camera language and synchronized sound.
Prototype characters, environments and cinematic moments for interactive projects.
Explain difficult ideas through memorable visual demonstrations and narrated scenes.
Create attention-grabbing vertical and horizontal clips for every major platform.
No model wins every project. Use the same prompt, source media and review criteria to compare subject stability, motion, camera behavior, audio and total workflow cost.
Compare longer multimodal creation with a model commonly evaluated for directed motion and polished short-form video.
Read comparisonCompare Wan 3.0 with a newer Seedance workflow across scene direction, consistency, sound and practical control.
Read comparisonCompare character-led generation, motion, prompt interpretation and production workflow with Wan 3.0.
Read comparisonCompare audiovisual generation, film language, reference handling and access workflow with Wan 3.0.
Read comparisonCompare dynamic movement, character consistency, camera direction and creator workflow with Wan 3.0.
Read comparisonCompare broad scene generation and cinematic interpretation with Wan 3.0 reference and audio controls.
Read comparisonBrowse the complete model comparison library for selection criteria and repeatable test scenarios.
Wan 3.0 is a multimodal AI video model that creates videos from text, images and reference media. It supports native audio, longer clips and precise control over visual composition.
Turn your idea into a cinematic video with synchronized native audio in minutes.