Website Review
What is Wan 3.0 AI Video Generator?
Wan 3.0 AI Video Generator is a browser-based tool on Wan 3.0 for turning a written idea, a still photo, or an existing clip into a short AI-generated video. It presents itself as an independent creation service, not the maker of the underlying Wan model, so treat it as a hosted front end for AI video generation rather than an official model release.
What you can do with it
- Text to video: describe subject, style, lighting, mood and composition in a prompt (the page allows prompts up to 2,000 characters), then generate.
- Image to video: start from a photo and let the tool animate it.
- Video to video: use an existing clip as the starting point and transform it.
- Video editing and reference-led work: the page lists video editing and reference-to-video among the ways to start, useful when you want to match a camera move or action rather than describe it from scratch.
- Audio: there is a generate-audio option alongside the video, so you can get a clip with sound rather than adding it later.
Output and controls
The page advertises clips up to 1080p and up to 30 seconds, with 480p, 720p and 1080p options and durations from roughly 2 to 30 seconds. You choose resolution, aspect ratio and duration, and a "thinking mode" is offered. Generation is credit-based; the interface shows example costs in the hundreds of credits depending on settings, so longer or higher-resolution clips consume more.
Who it suits
It fits short-form workflows: social clips, concept pitches, storyboards, and quick visual tests where a 30-second ceiling is not a limitation. A concrete scenario: a solo marketer with one product photo and a paragraph of copy can produce a moving teaser without filming anything. If you need long-form footage, precise frame-level control, or consistent characters across many shots, a 30-second clip length is the real constraint to weigh.
Practical next step
Decide which input matches what you already have — a script, a photo, or a clip — then open the generator and start with one short, low-cost test at a lower resolution before committing credits to a full 1080p, 30-second run. Compare the result against your intended use; if it holds up, scale up duration and resolution from there.
How do Wan 3.0 video credits work and how many credits does a 1080p 30-second clip cost?
Wan 3.0 video credits are the site's internal currency for generation. The page shows a per-generation cost next to the Generate button, and that cost changes with the settings you choose — the listed model range is 98–5880 credits depending on duration and resolution, and the on-page example shows 455 credits for one configuration. Credits are spent when you generate, not when you preview settings.
What the page actually states
| Item | What the page shows |
|---|---|
| Credit range | 98–5880 credits per generation |
| Settings that move the number | Duration (2–30s) and resolution (480p/720p/1080p), plus options like audio and thinking mode |
| Example on page | 455 credits shown for one setup |
| Clip ceiling | Up to 1080p and 30 seconds |
| Ways to start | Text to video, image to video, video to video, video editing |
Does a 1080p 30-second clip cost a fixed number?
The page does not publish a single fixed price for 1080p at 30 seconds. It gives a range and shows one working example, so the honest answer is: expect the top of that range for the longest, highest-resolution output, but confirm the exact figure in the generator before you commit. The number displayed beside Generate is the authoritative one for your chosen settings.
Practical way to check before spending
- Open the generator: Wan 3.0
- Set duration to 30s and resolution to 1080p.
- Read the credit figure shown next to the Generate button — that is your cost for that exact configuration.
- Toggle audio or thinking mode on and off to see how much each adds.
- Compare against the 455-credit example: if your setup is much higher, try 720p or a shorter duration first to test the prompt.
Who should care about the distinction
If you are storyboarding, run short 480p or 720p tests to validate a prompt, then spend the larger credit amount on the final 1080p pass. If you need a 30-second deliverable, budget for repeated attempts, since regeneration after a weak result costs the same again. Check the pricing page for how credits are purchased or bundled before planning a batch.
Can I start from a reference video or existing clip instead of text or a single image?
Yes. Wan 3.0 lists video-to-video and video editing as starting points, alongside text-to-video and image-to-video. So an existing clip can serve as the source material rather than a written prompt or a single still.
H3 Practical ways to use a reference clip
- Restyle or transform: feed an existing shot and describe the new look (lighting, palette, mood) while keeping the original motion.
- Change action or camera: use the clip as the base, then direct the subject's movement or camera behavior in words.
- Extend or rework a sequence: treat a finished shot as raw material for a longer or alternate version.
- Combine inputs: start from a clip and add a photo or text guidance, since the generator accepts text, image and video inputs.
H3 Trade-offs to weigh
| Starting point | Best when | Watch out for |
|---|---|---|
| Text | You have an idea but no footage | Least control over exact motion |
| Single image | You want a specific look or subject | Motion is inferred, not supplied |
| Reference video | You need existing motion, framing or continuity | Output quality depends on source clarity and length |
H3 A concrete scenario A small brand has a 10-second product clip but wants a different visual style for a campaign. Instead of reshooting, they upload the clip, describe the new lighting and color treatment, and generate variants. The original camera movement and timing carry over; only the described attributes change. This is faster than rebuilding the shot from a text prompt, but it also means flaws in the source clip can persist.
H3 Decision criterion Choose video-to-video when motion, framing or continuity already exist and you mainly want to change appearance, action or camera direction. Choose text-to-video when you are starting from nothing, and image-to-video when you have a strong still but no usable footage.
Next step: open the generator at Wan 3.0 AI Video Generator, select the video-to-video or video editing option, and upload your clip before writing your direction. Note that clips are listed up to 1080p and 30 seconds, so trim longer source footage to fit that range.
What should I include in a Wan 3.0 video prompt to control action, camera movement, and mood?
To control action, camera movement and mood in Wan 3.0, write the prompt as a short shot description rather than a list of keywords. The generator's own guidance on the page is to describe subject, style, lighting, mood and composition, and its prompt field accepts up to 2,000 characters — so you have room for a few precise sentences, not a paragraph of vague adjectives.
A reliable prompt structure
- Shot and subject — who or what is on screen, and how much of them we see (close-up, medium shot, wide shot).
- Action — one clear, continuous movement with a direction and a speed: "she turns slowly toward the window," not "she is emotional."
- Camera — name one movement and its pace: slow push-in, lateral tracking shot, static tripod, handheld follow, gentle orbit.
- Setting and lighting — time of day, light source, colour temperature.
- Mood — two or three words that colour the whole shot: calm, tense, nostalgic, playful.
- Style — realistic, documentary, anime, film grain, and so on.
Example prompt
Medium close-up of a cyclist pausing at a rain-slicked crossing at dusk. She wipes water from her face and looks up as the light changes. Camera: slow push-in, slight handheld sway. Lighting: cool blue streetlight with warm shopfront glow behind her. Mood: quiet, reflective, cinematic. Realistic photographic style.
What to avoid
- Stacking several camera moves in one line ("dolly in while panning and zooming") — pick the one that matters most.
- Contradictory mood words such as "serene" and "chaotic" in the same sentence.
- Abstract states ("she feels free") instead of visible behaviour ("she spreads her arms and laughs").
Matching the prompt to your starting point
| Start mode | What the prompt should carry most |
|---|---|
| Text to video | Everything: subject, action, camera, lighting, mood |
| Image to video | Motion and camera; the still already fixes subject and look |
| Video to video | The change you want — restyle, speed, or new camera path |
| Reference to video | How closely to follow the reference's action and framing |
For image-led work, spend your words on movement and camera, since composition is already set. For reference-led work, state explicitly whether you want the same motion or just the same visual feel.
Practical next step
Write your first prompt, then change only one variable per attempt — camera, then action, then mood. That way you learn which phrasing this generator responds to, rather than guessing from a single all-changes-at-once result. Longer clips of up to 30 seconds also benefit from describing a small arc (start state, one action, end state) so the motion has somewhere to go, and credits vary with duration and resolution, so test ideas at a shorter length before committing to a full-length render. The site's gallery is a useful reference for how action and camera direction read on screen: Wan 3.0 AI Video Generator.
How do 480p, 720p, and 1080p resolutions and 2–30 second durations affect output quality and credit usage?
Resolution and duration are the two dials that most directly control what you get and what you spend. On Wan 3.0 AI Video Generator, both are chosen before you generate, and both scale the credit cost.
How each setting affects the result
Resolution (480p / 720p / 1080p) — this is about how much detail survives in each frame. 480p is fine for quick motion tests, animatics and previewing a camera move; it looks soft on a large screen and small text or fine textures will smear. 720p is the practical middle ground for social posts and web embeds. 1080p is where faces, product surfaces, foliage and type hold up well enough for client review or a final cut. Higher resolution does not fix a weak prompt — it just makes the flaws sharper.
Duration (2–30 seconds) — this is about how much action you can fit. Short clips (roughly 2–5s) suit loops, cutaways, reaction shots and testing whether a prompt behaves. Mid-length clips cover a single beat: a turn, a reveal, a short camera push. The full 30 seconds is for sequences with a beginning and end — a walk-through, a transformation, a multi-stage camera move. Longer clips give the model more room to drift, so subject consistency and background stability need more attention in the prompt.
Credit usage
Credits scale with both settings together, not separately. The generator lists a range of 98–5880 credits for Wan 3.0, with 480p/720p/1080p and 2–30s as the variables, and shows a live cost next to the Generate button — the page's own example reads 455 credits for one configuration. Treat any single figure as one data point, not a price list: the number you see depends on the resolution and duration you have selected at that moment. Longer and higher-resolution combinations sit at the top of that range; short, low-resolution tests sit near the bottom.
A practical way to decide
Work outward from the final use, then test cheaply before committing:
- Draft at 480p and a short duration to check the prompt, motion and framing.
- Once the idea works, regenerate the keeper at the resolution and length the destination actually needs.
- Only go to 1080p at 30 seconds when the clip is the deliverable — not while you are still exploring.
That order matters because a 30-second 1080p attempt that drifts off-brief is the most expensive way to learn a prompt is wrong.
Is Wan 3.0 an official model provider tool or an independent service, and what are the usage rights for generated clips?
Wan 3.0 here is an independent, browser-based creation service, not a tool published by the model provider. The site's own footer states that it is "an independent AI creation service," that references to Wan 3.0 describe the creative product on this website, and that these references do not imply ownership, partnership or endorsement by a model provider. Wan and related marks belong to their respective owners. In practice, that means you are using a third-party front end built around a Wan-branded model rather than a first-party studio product.
What that means for you
- Model vs. service. The underlying video model and the website you generate on are separate things. Expect the interface, credit system, queue and output settings to be defined by this service, not by the model owner.
- No implied backing. The disclaimer rules out any suggestion that the model provider reviews, sponsors or guarantees what this site produces.
- Practical check. If a client or publisher asks whether the tool is "official," the accurate answer is no — it is an independent service that names the model descriptively.
Usage rights for generated clips
The supplied page evidence does not include a licence, ownership or commercial-use clause, so treat the rights position as unconfirmed from this material alone. The footer disclaimer covers branding and affiliation; it does not grant or restrict rights in your output.
A sensible workflow:
- Open the site's terms of service, acceptable use policy and any content or copyright page and read the clauses on ownership of outputs, commercial use and prohibited content.
- Keep a record of the prompt, settings and date for each clip you intend to publish, along with the terms as they read on that date.
- If you need commercial clearance for a paid campaign, get the terms reviewed before you rely on the clip — especially for anything depicting identifiable people, brands or news-like events.
The page also notes that all shown videos and images are AI-generated synthetic content and do not depict real people or events unless stated otherwise. That is a content statement, not a rights grant, so it does not settle whether you may use a clip commercially.
For comparison, first-party tools such as OpenAI or Runway publish their own usage terms alongside the model, which can make rights easier to trace. Here, the terms are the deciding document.
Next step: read the service's terms and pricing pages before generating at scale, and check whether generated audio, reference-video inputs and image-to-video outputs are covered by the same clause.
User reviews (0)