1. Pick Text to Video or Image to Video
Open the generator and choose the Wan 3.0 AI mode that matches what you already have. Text to video starts from a written scene. Image to video animates a still you upload as the opening frame.
Four steps take you from a rough idea to a finished Wan 3.0 video, with no timeline editing in between.
Open the generator and choose the Wan 3.0 AI mode that matches what you already have. Text to video starts from a written scene. Image to video animates a still you upload as the opening frame.
Describe subject, action, setting, light, and camera move, one line per shot. Wan 3.0 cinematic direction responds to concrete terms like slow push in or handheld follow far better than mood words on their own.
Choose any whole length from 2 to 30 seconds and render at 480p, 720p, or 1080p. Leave audio on and Wan 3.0 AI scores the clip while it renders, timed to what happens on screen.
Watch the result and change one variable at a time before regenerating. When the Wan 3.0 video looks right, download the MP4 and drop it straight into your edit or post it as it is.
Wan 3.0 AI is the third generation of Alibaba's Wan video model, built to hold a scene together far longer than earlier releases. Where previous versions traded length for stability, Wan 3.0 keeps faces, wardrobe, and lighting consistent across a full thirty-second take, and it writes the sound while it renders rather than afterwards.
Type what should happen and Wan 3.0 AI builds the frame, the motion, and the ambience around it. Prompt expansion fills in what you leave out, so a short brief still returns a complete shot.
Upload a start image and the model moves it. Add an end frame and Wan 3.0 AI plans the journey between the two, which is the fastest way to turn a product photo into a moving shot.
Length is a setting, not a stitch. A single generation can run the full thirty seconds without cutting between separate generations, so motion and audio stay continuous.
Multi-subject consistency keeps the same person recognizable from the first frame to the last. That stability is what makes Wan 3.0 cinematic sequences usable in a real edit instead of only as a demo.
One Wan 3.0 AI generation replaces a chain of tools. The same model handles the footage, the camera move, and the sound, so a usable clip lands in minutes instead of an afternoon.

These are the controls that decide how your footage actually looks, and the ones worth learning first.
The model widens a thin prompt into a fuller scene description before rendering, which lifts the quality of quick briefs without you writing a paragraph every time.
Image to video takes a start frame on its own, or a start and end pair. Give it both and the model plans the motion that connects them.
Ambience, footsteps, and room tone are generated with the picture rather than dubbed over it, so a Wan 3.0 cinematic take arrives already in sync.
Set any whole number of seconds from 2 to 30. Short social loops and full thirty-second scenes come from the same Wan 3.0 AI model.
Faces, clothing, and props stay stable as the shot moves, which is what lets two Wan 3.0 video clips sit side by side in one sequence.
Draft cheap and finish sharp. Resolution is a per-render choice, so cinematic tests cost a fraction of the final 1080p export.
Browse selected public X posts about Wan 3.0 from Alibaba accounts, evaluators, and creators, covering the launch and generated video examples.
Watch a selected Wan 3.0 video overview and review the model before configuring your own text-to-video or image-to-video request.
Short answers to what people ask before their first Wan 3.0 AI render.
Looking for more related tutorials? Read the Model AI blog.