Website profiles · Technology insights · Alternatives

wan3.dev Paid content Multilingual

Categories: Artificial Intelligence

Turn text, a photo, or a clip into video with Wan 3.0. Create up to 1080p and 30 seconds in your browser, and direct the action and camera in plain words.

Visit website

Updated: 2026-09-23 05:42 Language: English (default) Access: Normal

Profile views 4 Outbound visits 1
Wan 3.0 AI Video Generator Full homepage screenshot
Editorial Review

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

  1. Open the generator: Wan 3.0
  2. Set duration to 30s and resolution to 1080p.
  3. Read the credit figure shown next to the Generate button — that is your cost for that exact configuration.
  4. Toggle audio or thinking mode on and off to see how much each adds.
  5. 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

  1. Shot and subject — who or what is on screen, and how much of them we see (close-up, medium shot, wide shot).
  2. Action — one clear, continuous movement with a direction and a speed: "she turns slowly toward the window," not "she is emotional."
  3. Camera — name one movement and its pace: slow push-in, lateral tracking shot, static tripod, handheld follow, gentle orbit.
  4. Setting and lighting — time of day, light source, colour temperature.
  5. Mood — two or three words that colour the whole shot: calm, tense, nostalgic, playful.
  6. 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:

  1. Draft at 480p and a short duration to check the prompt, motion and framing.
  2. Once the idea works, regenerate the keeper at the resolution and length the destination actually needs.
  3. 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:

  1. 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.
  2. 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.
  3. 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.

Related questions

More questions →
How to Create Your First Wan 3.0 Video: Text, Image, or Video Input

Wan 3.0 is a browser-based AI video generator that turns text, a photo, or an existing clip into a video of up to 1080p and 30 seconds. To make your first clip, pick the starting mode that matches the material you already have, write a prompt that names the subject, style, lighting, mood, and composition, then set resolution, duration, and audio before you generate. Expect a credit cost somewhere in the 98–5880 range, since the price scales with length and resolution.

Pick your starting mode

The generator offers four entry points. Choose based on what you have on hand, not on which sounds most advanced.

Mode Use it when What you provide
Text to video You have an idea but no footage or image A written prompt
Image to video You have a still you want to animate A photo plus a prompt for motion
Video to video You have a clip you want restyled or transformed A reference video plus direction
Video editing You want to adjust an existing clip Your video plus edit instructions

If you are starting from nothing, text to video is the fastest path to a finished result. If you already have a strong image, image to video usually gives you more control over the opening frame, because the model starts from your composition rather than inventing one.

Write a prompt that actually guides the model

The prompt field accepts up to 2000 characters, and the site's own tip is to be detailed and specific. A useful prompt covers five things:

  • Subject — who or what is on screen
  • Style — realistic, animated, cinematic, and so on
  • Lighting — soft daylight, neon, backlit, overcast
  • Mood — calm, tense, playful
  • Composition — wide shot, close-up, centered subject

For example, instead of "a dog running," try "a golden retriever sprinting across a wet beach at sunrise, low camera angle, warm backlight, energetic mood, shallow depth of field."

If your idea is thin, use the Expand option next to the prompt field. It fills out a short idea into a fuller description, which is useful when you know the vibe but not the wording.

Set resolution, duration, and audio

Before generating, you choose:

  • Resolution — 480p, 720p, or 1080p
  • Duration — anywhere from 2 to 30 seconds
  • Audio — whether to generate sound with the video
  • Thinking mode — an option available in the generator panel

Higher resolution and longer clips both push the credit cost up. The full range runs from 98 to 5880 credits, so a short 480p test costs far less than a 30-second 1080p render. The generate button shows the credit price for your current settings (the example on the page reads 455 credits), so you can check the number before committing.

A practical approach: render a short, low-resolution version first to confirm the motion and framing, then re-run at higher settings once you like the direction.

Check your credits before you generate

Because cost scales with length and resolution, the same prompt can be cheap or expensive depending on settings. The generator displays the credit total on the generate button, so read it before you click. If you are experimenting with prompt wording, keep duration short and resolution low until the content is right — then spend the credits on a final high-quality pass.

The site lists a pricing page, so credit costs and any current offers are worth checking there rather than assuming a fixed rate.

Review and iterate

After the clip renders, judge it against what you asked for. If the motion is wrong, adjust the action wording in the prompt. If the framing is off, change the composition terms or switch to image to video and supply a starting frame that already has the composition you want. If the style is wrong, name the style more explicitly.

Switching input mode is often faster than rewriting a prompt repeatedly. A still image locks in the look; a reference video locks in the motion. Use whichever constraint your problem actually is.

What to know about the service

This is an independent, browser-based AI creation service. Its footer states that references to Wan 3.0 describe the creative product on the site and do not imply ownership, partnership, or endorsement by a model provider. All gallery videos and images are AI-generated synthetic content and do not depict real people or events unless explicitly stated.

How to Turn an Image into a Video with Wan 3.0

Wan 3.0 on wan3.dev can animate a still image into a clip of up to 1080p and 30 seconds. Switch the generator to Image to video, upload your photo, then write a prompt that describes the motion and camera move rather than re-describing the picture. Expect a single run to cost hundreds of credits — the site's own example shows a 455-credit generate button — so decide your duration and resolution before you click.

Before you start

  • Source image: a clear, well-lit still. The model animates what it sees, so a blurry or cluttered photo gives it little to work with.
  • Prompt: up to 2000 characters. The site's own tip is to describe subject, style, lighting, mood, and composition — for image-to-video, add motion and camera direction on top of that.
  • Credits: check your balance before generating. The interface shows "Available Credits" next to the generate button, and the example run is priced at 455 credits.
  • Settings you'll choose: resolution (480p / 720p / 1080p), aspect ratio, duration (2–30s), and whether to generate audio.

Step-by-step: image to video

1. Open the generator and pick Image to video

The site lists four starting points: Text to video, Image to video, Video to video, and Video editing. Choose Image to video so the generator treats your upload as the first frame rather than as a loose reference.

2. Upload your image

Select the photo you want to animate. This becomes the visual anchor — the subject, framing, and lighting of the output should stay recognisable to it.

3. Write a motion prompt

This is where most first attempts go wrong. Don't describe what's already in the photo; describe what should change.

Weak prompt: "A woman standing in a field."

Useful prompt: "The woman turns her head slowly toward the camera, hair moving in a light breeze; slow push-in, warm late-afternoon light, calm mood."

Cover four things:

  • Subject motion — what moves, and how fast
  • Camera move — push in, pull out, pan, orbit, or hold still
  • Lighting and mood — keeps the clip consistent with the source image
  • Style — only if you want the output to shift away from the photo's look

4. Set resolution, ratio, and duration

Duration runs from 2 to 30 seconds and resolution from 480p to 1080p. Longer and higher-resolution clips are the expensive end of that range, so a first test at a short duration and lower resolution is the cheaper way to check whether your prompt produces the motion you want.

5. Decide on audio

The generator has a Generate audio toggle. If you don't need sound, leaving it off keeps the run simpler; if you do, the site advertises audio generation from text descriptions.

6. Check the credit cost, then generate

The generate button displays its price before you commit — the on-page example is 455 credits. Credit cost scales with the settings you chose, so if the number is higher than you expected, shorten the clip or drop the resolution and check again.

7. Review and adjust

Watch the result against your source image. Two common failure modes:

What you see What to change
Motion is wrong or the subject does something unexpected Rewrite the motion sentence to name one clear action instead of several
The clip drifts away from the original image Remove style words from the prompt and lean on lighting/mood language that matches the photo
Too little happens Add an explicit camera move, or lengthen the duration slightly

What it costs and what you get

  • Output: up to 1080p, up to 30 seconds, from text, image, or video input.
  • Model options: the generator lists Wan 3.0 with a 2–30s range at 480p/720p/1080p and a credit band of 98–5880 credits depending on settings.
  • Pricing page: wan3.dev/pricing is linked from the main navigation and currently shows a 50% OFF label. Check it for current credit packs rather than assuming a price.

Practical notes

  • Test cheap, finish expensive. Run a short, low-resolution version to validate the prompt, then re-run at your target settings once the motion looks right.
  • One action per clip. A single clear movement reads better than a list of instructions, and it's easier to debug when the output is wrong.
  • The site is independent. Its footer states that references to Wan 3.0 describe the creative product on the website and don't imply ownership, partnership, or endorsement by a model provider. Treat it as a browser-based creation service, not the model's official home.
  • Gallery as reference. The workflow showcase on the homepage demonstrates subject action, camera direction, image-led motion, and visual transformation — useful for calibrating how much motion a prompt should ask for.
How to Write Wan 3.0 Video Prompts That Get the Clip You Want

Wan 3.0's prompt box accepts up to 2,000 characters and its own tip tells you to describe the subject, style, lighting, mood, and composition. That is the whole method: name what is on screen, say what it does, say how the camera behaves, then set the light and the look. Prompts written this way work for all three starting points — text, a photo, or a reference clip — and you can adjust one element at a time when a result misses instead of rewriting from scratch.

The prompt pattern

Build every prompt in this order. Later elements matter less if the earlier ones are vague, so fix the top of the list first.

  1. Subject — who or what is on screen, with enough detail to be specific ("a woman in a yellow raincoat," not "a person").
  2. Action — the single main thing that happens during the clip.
  3. Camera — how the shot moves or holds (static, slow push in, tracking alongside).
  4. Lighting — time of day and light quality (overcast morning, warm lamp light, hard midday sun).
  5. Mood and style — the feeling and the visual treatment (documentary, soft and quiet, high contrast).
  6. Composition — framing and where the subject sits in frame (wide shot, centered, subject on the left third).

A working example:

A woman in a yellow raincoat walks toward the camera along a wet pier, slow push in, overcast morning light, calm and slightly melancholic, wide shot with the subject centered, muted color palette.

Compare that to "a woman walking on a pier, cinematic, 4K, beautiful." The second prompt gives the model nothing to act on — no direction of movement, no camera instruction, no light. Vague quality adjectives are the most common reason a clip comes back looking like a generic stock shot.

Adapting the pattern to each input type

The same six elements apply, but what you should spend characters on changes with how you start.

Start What the model already has What your prompt should carry most
Text to video Nothing All six elements — this is the only case where you describe the subject from zero
Image to video Subject, framing, and look from the photo Action, camera direction, and how much the scene should change
Video to video Existing motion and structure What to keep, what to transform, and the target style

For image-to-video, don't re-describe the photo. If the image already shows a person at a desk, write the motion: "she turns her head toward the window, camera slowly drifts right, late afternoon light." Describing the subject again wastes characters and can push the model away from the source image.

For video-to-video, be explicit about the transformation. "Keep the camera movement and timing; change the setting to a snowy street at night, cool blue tones" tells the model what is fixed and what is not.

How much to write

The box holds 2,000 characters, but length is not the goal — coverage is. A prompt that names all six elements usually lands between 40 and 90 words. Below that, you are probably missing camera or lighting. Far above it, you risk contradicting yourself, which is worse than saying less.

Two habits that keep prompts tight:

  • One main action per clip. If you want a character to walk in, sit down, and open a laptop, that is three beats competing for a clip that may run as short as a few seconds. Pick the beat you actually need.
  • Cut adjectives that don't change pixels. "Stunning," "amazing," and "masterpiece" don't tell the model what to render. "Backlit," "shallow depth of field," and "handheld" do.

Matching prompt detail to your settings

Your prompt and your settings have to agree, or the result will feel wrong even when the model did what you asked.

  • Duration. A prompt describing a slow, multi-stage action needs room to play out. On a short clip, describe a single moment instead of a sequence.
  • Resolution. Fine detail you ask for — text on a sign, small objects, intricate patterns — is more likely to survive at higher resolution. At lower settings, favor larger shapes and simpler compositions.
  • Audio. If you enable audio, say what should be heard. Ambient sound, dialogue, or music are different requests, and silence is a valid one to state.
  • Aspect ratio. Write the composition to match the frame. A "wide establishing shot" fights a vertical frame; "centered subject with headroom" suits it.

When the result is wrong, change one thing

Rewriting the whole prompt after a bad clip makes it impossible to know what fixed it. Instead, diagnose by category:

  • Wrong subject or wrong action → the top of your prompt is too vague. Add one concrete detail.
  • Right subject, wrong feeling → lighting and mood are underspecified. Name the light source and time of day.
  • Static or awkward motion → you described a scene but not a camera. Add an explicit camera instruction.
  • Composition is off → state the framing and where the subject sits in frame.
  • It ignored part of the prompt → you likely have two competing actions. Cut to one.

Change one element, regenerate, and compare. Two or three passes usually get you to a prompt worth saving and reusing with a different subject.

A reusable template

Fill this in and you have a complete prompt:

[Subject with one distinguishing detail] [does one action], [camera instruction], [lighting and time of day], [mood], [framing and subject placement], [style or color treatment].

Keep your best prompts in a note. Because the pattern is modular, you can swap the subject and keep the camera, lighting, and style — which is the fastest way to get a consistent look across several clips.

How Wan 3.0 Video Credits Work: What Determines the Cost of a Clip

Wan 3.0 charges credits per generation, and the price of a clip is quoted on the Generate button before you confirm. On the site's generator page, the model selection line lists a range of 98–5880 credits for Wan 3.0, alongside settings of 2–30 seconds and 480p/720p/1080p. Your live "Available Credits" balance sits next to that quoted cost, so you can compare the two before spending anything. The practical rule: the longer the clip and the higher the resolution, the closer you land to the top of that range.

Where the credit cost comes from

Credits are the in-app currency for this independent browser-based service. You don't buy a fixed number of videos — you spend credits per generation, and the amount depends on the settings you choose at that moment.

The generator page shows three things side by side:

Element What it tells you
Available Credits Your current balance
Generate (455 credits) The cost of the clip with your current settings
Model Selection line The full settings range: 2–30s, 480p/720p/1080p, 98–5880 credits

The 455-credit figure in the page evidence is the quoted cost for one specific configuration — not a fixed price for every clip. Change the duration or resolution and that number moves.

What pushes a clip toward 5880 credits

Two settings dominate the cost:

  • Duration (2–30 seconds). A 30-second clip is roughly fifteen times the length of a 2-second one, and the top of the credit range reflects that.
  • Resolution (480p/720p/1080p). Higher resolution means more frames to render at greater detail, so 1080p sits well above 480p.

Optional features can also change the total:

  • Generate audio — the text-to-video panel includes an audio toggle, and the site describes generating "videos with audio."
  • Thinking mode — listed as an available option on the generator panel.

Because these are optional, the safest habit is to read the credit figure on the Generate button after you've set duration, resolution, audio, and thinking mode — not before.

A workflow that keeps credit spend predictable

  1. Write your prompt first. The prompt field allows up to 2000 characters, and the site advises describing subject, style, lighting, mood, and composition. A vague prompt that produces the wrong clip costs you credits twice.
  2. Set duration and resolution before anything else. These two drive most of the cost.
  3. Decide on audio and thinking mode. Toggle them on or off and watch the quoted figure update.
  4. Read the Generate button. That number is your actual cost for this render.
  5. Compare against Available Credits. If the balance is short, the Pricing page is the top-up route.
  6. Test cheap, then commit. Draft an idea at a short duration and lower resolution, confirm the motion and framing work, then re-run at 1080p or a longer length.

Step 6 is the single biggest lever on total spend. A 1080p, 30-second render with audio is the most expensive configuration the page describes; the same idea validated first at low settings costs a fraction of that.

Common questions about the credit range

Why does the site list a range instead of one price? Because cost is a function of your settings, not a flat fee. 98 credits represents the cheapest combination the page supports; 5880 represents the most expensive.

Is the 455-credit figure the standard price? No. It's the quote shown for one configuration on the page at the time it was captured. Your own quote depends on your settings.

Do failed or abandoned generations cost credits? The available page evidence doesn't state a refund or failure policy, so treat the quoted cost as what you commit when you press Generate.

Does the balance carry over or expire? Not addressed in the available material.

Is there a free tier? The page shows an Available Credits balance and a Pricing page with a 50% OFF signal, but the evidence doesn't state whether any credits are granted free or whether login is required to generate. Don't assume either.

What to check before you generate

  • The Generate button figure — this is the only number that matters for your next clip.
  • Duration and resolution — the two settings that move cost the most.
  • Audio and thinking mode toggles — optional add-ons that can raise the total.
  • Available Credits — if it's below the quoted cost, top up via Pricing first.

If you're new to the tool, start with the shortest duration and lowest resolution that still tests your idea. Once the motion, camera direction, and subject look right, re-run at the quality you actually need. That sequence keeps you near the bottom of the 98–5880 range while you iterate, and reserves the expensive end for clips you already know work.

How to Use Reference to Video in Wan 3.0

Reference to video in Wan 3.0 means starting from a clip instead of text or a still image: you upload a reference video, then describe what the new clip should inherit (subject action, camera movement, style) and what it should change (scene, wardrobe, lighting). On wan3.dev this sits under the Video to video start option, alongside Text to video, Image to video, and Video editing. It fits you best when you already have footage whose motion or look you want to reuse but whose content you want to replace. If you only have a written idea or a single photo, text-to-video or image-to-video is the cheaper, simpler path.

What the reference actually controls

Wan 3.0's generator lists three ways to start — Text / Image / Video — and the site describes the workflow showcase as covering "subject action, camera direction, image-led motion, and visual transformation." In practice, a reference clip is your strongest lever on:

  • Motion — how the subject moves and how fast the action reads
  • Camera language — pans, pushes, handheld feel, framing changes
  • Style and grade — color, contrast, texture, overall look
  • Transformation direction — what the clip turns into over its duration

What it does not reliably lock down is identity and exact detail. A clean reference gives the model a clear motion signal; a busy or low-quality one gives it noise, and the output drifts.

Preparing the reference clip

The site's stated output ceiling is up to 1080p and up to 30 seconds, so treat that as the target range for what you feed in.

Reference quality Effect on the result
Single clear subject, simple background Motion and camera transfer most faithfully
Multiple subjects or fast cuts Model averages the motion; output looks muddled
Heavy motion blur or low resolution Weak motion signal, softer output
Long clip with several distinct shots Only part of the motion is reflected; trim to one shot

Practical prep: trim to one continuous shot, keep the subject large enough in frame to read, and avoid clips where the camera and the subject both move hard at once. If your reference is longer than the clip you want, cut it to roughly the length you plan to generate.

Writing the prompt: separate "keep" from "change"

The prompt field on the generator accepts up to 2000 characters, with a tip to describe subject, style, lighting, mood, and composition. For reference-to-video, split your prompt into two explicit halves:

  1. Inherit — name the motion and camera you want carried over: "keep the slow push-in and the walking pace of the reference."
  2. Replace — name everything else: new setting, wardrobe, time of day, color palette.

Example prompt structure:

Keep the reference's forward tracking shot and the subject's steady walking rhythm. Change the setting to a rain-soaked night market, swap the outfit to a red jacket, shift the grade to cool blue with warm practical lights, keep the framing centered.

Vague prompts like "make it like the reference but different" give the model nothing to hold onto; the output tends to copy the reference too literally or ignore it entirely.

Settings and cost before you generate

The generator exposes model selection (Wan 3.0), resolution ratio, duration, a generate-audio toggle, and a thinking mode. The listed range is 2–30 seconds at 480p / 720p / 1080p, costing 98–5880 credits depending on those choices — so both length and resolution move the price, and the low end of that range is a short low-resolution clip while the high end is a long 1080p one. The interface shows a live credit figure next to the Generate button (the page displays an example of 455 credits for one configuration), so set duration and resolution first and read the number before committing.

For a first reference-to-video attempt, generate short and at a lower resolution to confirm the motion transfers the way you expect, then re-run at 1080p once the prompt is right. That keeps failed attempts cheap. Note that pricing and any discounts are shown on the site's own Pricing page — check there rather than assuming a rate.

When the output drifts from your reference

Most failures fall into three buckets:

  • Motion ignored — the clip looks static or generic. Your reference likely had weak or ambiguous motion. Swap in a clip with one obvious, sustained movement.
  • Reference copied too literally — you get the same scene with minor changes. Your "replace" instructions were too soft. State the new scene, wardrobe, and lighting as explicit changes.
  • Muddy result — usually a busy reference or too many simultaneous changes. Simplify to one inherited motion plus one or two replacements, then build up.

Change one variable per retry: fix the reference first, then the prompt, then the settings. Changing all three at once tells you nothing about which one caused the improvement.

A quick decision check

Use reference-to-video when you have a clip whose movement or look is the point and you want new content in that mold. Use image-to-video when a single frame defines the shot and you only need it to move. Use text-to-video when you have no source material and want the model to invent the motion. And if your goal is to rework an existing clip rather than generate a new one from it, the Video editing option is the closer match.

Website Overview

An active inbound-mail setup with incomplete authentication may leave the domain more open to impersonation. Provider hosting alone does not close that gap.

Domain and Registration

The domain was registered less than a year ago and has limited historical evidence to assess. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain uses the common .dev extension, which is not an independent safety signal.

DNS and Email

The observed email authentication setup is incomplete: DMARC is missing. Nameservers are provided by Cloudflare, indicating managed DNS hosting. MX records point to the Zoho Mail email service. No CNAME was found; the observed records resolve directly to addresses. TXT records include verification markers for Google. Such markers may also remain after a service stops being used.

TLS and Certificates

The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.

HTTP and Browser Security

X-Powered-By exposes backend information: Next.js. The response lacks these common security headers: CSP, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, clickjacking protection. No obvious internal addresses or debug information were found in the headers. The Server header contains the custom value Vercel. Cookie security attributes are unknown.

Technology Stack Analysis

The public page identifies Next.js, Google Analytics, Vercel without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

No Open Graph metadata was detected, so social previews may depend on platform inference. The page declares 7 language or regional alternatives using hreflang. The title has 56 characters, within a common display range. A meta description is present, with 154 characters. The observed directives allow indexing and link following.

Hosting and Email

DNSCloudflare
HostingVercel
EmailZoho Mail
Location United States flagUnited States 216.150.1.193

User reviews (0)

  • No reviews yet.

Pages, Search and Sharing

Meta descriptionTurn text, a photo, or a clip into video with Wan 3.0. Create up to 1080p and 30 seconds in your browser, and direct the action and camera in plain words.
Canonical URLhttps://wan3.dev
LanguageEnglish (default) · Multilingual
Twitter CardNot detected

Unknown

All bots 1 allowed · 8 disallowed
  • Allow/
  • Disallow/api/*
  • Disallow/settings/*
  • Disallow/dashboard/*
  • Disallow/*/auth/*
  • Disallow/*/contact
  • Disallow/*/privacy
  • Disallow/*/terms
  • Disallow/*/cookie

Registration details RDAP / WHOIS

RegistrarSpaceship, Inc.
Registered2026-08-04
Expires2027-08-04
Domain statusclient transfer prohibited
Nameserverscloe.ns.cloudflare.com、joaquin.ns.cloudflare.com
DNSSECunsigned

DNS records

TypeNameValueTTLPriority
Awan3.dev216.150.1.193292
Awan3.dev216.150.16.193292
MXwan3.devmx.zoho.com60010
MXwan3.devmx2.zoho.com60020
MXwan3.devmx3.zoho.com60050
NSwan3.devcloe.ns.cloudflare.com86400
NSwan3.devjoaquin.ns.cloudflare.com86400
TXTwan3.devgoogle-site-verification=Km3Ke4MF29qb5ZwE8qLUq7wECgxNWcg49jC6_t2Gh7Y600
TXTwan3.devv=spf1 include:zohomail.com ~all600
TXTwan3.devzoho-verification=zb41556027.zmverify.zoho.com600

TLS and certificates

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectwan3.dev
IssuerLet's Encrypt
Valid until2026-11-07T07:09 · Remaining when checked: 45 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HeaderValue
content-typetext/html; charset=utf-8
cache-controlprivate, no-cache, no-store, max-age=0, must-revalidate
serverVercel
strict-transport-securitymax-age=63072000
set-cookieRedacted

Identified technologies

Next.jsGoogle AnalyticsVercel

Recent Updates

  • Screenshots