Create AI videos from text or images with Wan 3.0 Video. Review the selected model, output settings, and estimated credit cost before you generate.
Prompt a low follow camera, one downhill carve, wind-reactive clothing, and a stable ocean horizon for a readable vertical action beat.
Use this promptKeep the package readable while condensation, a controlled splash, and moving highlights create a short seamless product loop.
Use this promptSeparate foreground leaves, falling water, drifting mist, and a slow camera rise so every layer moves at a believable speed.
Use this promptBegin from a branded still and specify the opening action, product hold, lighting sweep, and final social-ready composition.
Use this promptDirect a restrained camera arc, natural glass movement, wind, and changing sunset reflections in one continuous lifestyle shot.
Use this promptIndependent Wan 3.0 Video platform
Start with a prompt or reference image, choose the available settings, and test the shot before increasing duration or quality.
Create AI videos from text or images with Wan 3.0 Video. Review the selected model, output settings, and estimated credit cost before you generate.
Describe the video you want to create
Wan 3.0
Kling 3
Wan 2.7Model release guide
Use one Wan 3.0 Video guide for release details, naming variations, text-to-video, image-to-video, GitHub, download, and local-use questions.
Searchers may type Wan 3.0, Wan3, Wan 3, Alibaba Wan or Tongyi Wanxiang. This site consolidates those names instead of publishing duplicate pages.
The model entered public beta on August 6, 2026. Open-source, weights and license claims remain separate and are only confirmed from an official Alibaba or Wan source.
Start with the online text-to-video or image-to-video workflow, then review the actual model label, controls, and credit estimate shown before each generation.
Begin from a written scene when composition is open, or upload an image when identity, layout, or product details should stay recognizable.
Describe the subject, action, shot order, camera movement, lighting, timing, and sound. Explain what each reference should control.
Confirm the selected model, duration, ratio, resolution, audio option, and credit estimate before submitting the job.
Video creation workflows
Choose text-to-video or image-to-video, direct the motion, and review the settings that are actually available before generating.
Write one clear text-to-video shot with a subject, visible action, camera path, lighting, and pace.
Use image to video when a face, product, illustration, or composition should anchor the generated motion.
Separate subject action, camera movement, environmental behavior, and fixed constraints so the prompt has clear priorities.
Use the model label and controls displayed in the generator—not an assumed specification—to review ratio, duration, resolution, and credits.
Examples and prompts
These reusable ideas focus on subject motion, camera direction, lighting, and pacing. They are workflow examples, not claims about unreleased model specifications.
Structure a text-to-video prompt as three visible beats: celebration in motion, a sudden suspended moment, then one signal that releases the scene.
Anchor the product with a source image, then assign separate instructions to the camera push, moving highlights, surface reflections, and end frame.
Design one readable pursuit for a vertical frame, using foreground passes and a short camera move instead of stacking multiple action scenes.
Define which traffic, people, particles, and camera elements stop or reverse so the transition has a clear visual hierarchy.
Use architecture and water as scale references while one surreal subject changes size during a controlled aerial camera move.
Plan an establishing frame, an emotional close-up, and one reaction shot, with rain direction and lighting continuity written into the prompt.
FAQs
Practical answers about Wan 3.0 Video text-to-video, image-to-video, prompting, starter credits, pricing, generation time, and independent access.
Use the online generator for short AI video concepts, social clips, product motion, ads, and story shots. Start from text when the scene is open, or from an image when the subject and composition should guide the motion.
Choose text-to-video or image-to-video, add a prompt and any supported source image, then review the actual model label, output settings, and credit estimate before generating.
Choose text to video when you want the model to compose the scene from a written idea. Choose image to video when a portrait, product, character, or existing composition should anchor the result.
Describe one filmable scene with a clear subject, action, environment, camera movement, lighting, and pace. Add only the constraints that matter, then refine one detail at a time after reviewing the first result.
New accounts can use any starter credits currently offered for supported workflows. Starter access is limited, and the displayed cost depends on the selected model and settings.
No. WAN-30.video is an independent AI video creation and information service and is not operated by or affiliated with Alibaba or Wan AI.
The displayed credit estimate depends on the actual model, duration, quality, and generation mode selected. Review that estimate before submitting; platform credits are separate from any official API or local-compute cost.
Generation time changes with the selected model, settings, queue, and provider load. Keep the task page open or return to creation history to check progress instead of submitting the same job again.
Start from a prompt or image, review the available model and credit estimate, then generate in one focused workspace.
