Wan 3.0 AIビデオジェネレーター

Wan 3.0は、一貫性のあるモーション、リアルな物理演算、ネイティブな30秒動画、より高速なレンダリング、そしてキーフレームや動画の続きに対するマルチモーダル制御を実現します。今すぐPollo AIでWan 3.0動画を無制限に作成しよう!

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テキストから動画へ
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Pollo AIでWan 3.0を使って作成する理由:

  • より強力な時間的一貫性:長尺の動画シーケンス全体で、キャラクター、オブジェクト、視覚的ディテールを安定して維持。
  • よりリアルな物理シミュレーション:液体、布地、衝突、複数オブジェクトの動きを、より説得力のある物理表現で描画。
  • ネイティブ30秒動画生成:より豊かなストーリーテリングと高い創造性で、30秒動画を生成。
  • より高速な動画生成:同等のハードウェアで約40%高速に動画を作成。
  • 柔軟なマルチモーダル生成:柔軟なシーケンス制御で、テキスト、画像、音声、動画から生成。
  • 音声駆動のモーションとリップシンク:指定した音声トラックに合わせて、キャラクターの動きと口の動きを同期。

より強力な時間的一貫性

Wan 3.0は、長いシーケンスでもキャラクター、オブジェクト、視覚的ディテールをより安定して保ち、フレーム間の歪み、ずれ、溶けるような崩れを抑えます。被写体が途中で破綻しないまま、連続したキャラクターシーン、動きのある商品ショット、長回しのカメラテイクを作れます。

今すぐWan 3.0動画を無制限に作成

一貫した動き、リアルな物理表現、そして最大30秒の創作自由度を備えたPollo AIのWan 3.0動画作成で、ストーリーを生き生きと表現しよう。

Wan 3.0を無制限で利用

よりリアルな物理シミュレーション

Wan 3.0は、AI動画内で液体をより自然に流し、布地をより説得力ある反応にし、複数オブジェクトの相互作用をより明確な重さと勢いで表現します。アクションシーケンス、ファッションビジュアル、水しぶき効果、複雑な動きを、不自然なアニメーションではなく現実感のある仕上がりで作成できます。

入力動画
ピンクの背景にある白い箱の上に置かれた、ピンクのNikeサッカースパイク1足。

プロンプト

15秒、16:9。くせ毛の少年がピンクのNikeスパイクを開封し、その後試合で活躍する。最後にNike Swoosh。VO:「いつでも準備できている君へ。」テキスト:「Just do it.」

出力動画

洗練された商品広告を作りたい、または他のタイプのWan 3.0動画を試したい?Wan 3.0プロンプトを見て、各アイデアを形にするための詳細なプロンプト例を確認しよう。

ネイティブ30秒動画生成

Wan 3.0は最長30秒の動画をネイティブで生成できるため、各作品により多くの情報を盛り込み、ストーリーの流れをしっかり展開し、より豊かな映像表現を構築できます。短編映画、商品ストーリー、ブランドコンテンツ、映画的シーケンスを、より高い創作自由度と少ない断片クリップで作成できます。

より高速な動画生成

アテンション最適化により、Wan 3.0は同等ハードウェアで約40%高速化し、プロンプトから結果までの待ち時間を短縮します。より多くのクリエイティブ方向性を試し、シーンを素早く洗練し、大量コンテンツの制作フローを止めずに進められます。

入力動画
白いフタとミニマルなデザインの、宙に浮かぶ緑色のクリームジャー。

プロンプト

15秒のスキンケアUGC動画、手持ちスマホ風、日中光。@image1に完全一致。使用シーンのクローズアップ:くすみ・脂性肌から、クリアで明るくなめらかでガラスのような肌へ。

出力動画

柔軟なマルチモーダル生成

Wan 3.0は、先頭フレームアニメーション、開始/終了フレーム生成、動画継続のために、テキスト、画像、音声、動画入力をサポートします。静止画を動きに変えたり、2つの重要な瞬間の遷移を誘導したり、既存クリップをより充実したシーケンスに拡張したりできます。これにより、ミュージックビデオの制作や、つながりのある視覚的一貫性を持つシーケンスから長尺プロジェクトを構築するのに特に役立ちます。

プロンプト入力画像と動画出力動画
@video1のカラーグレーディングとカメラのリズムのみを使用。9:16、24fps、15秒。ヴィンテージのコンバーチブルがフレンチ・リビエラを疾走し、スカーフを巻いた女性がDior Book Toteとともに隣に乗る。海辺のヴィラ、氷入りレモンウォーター、夕暮れのテラス、中央のDIORロゴへカット。ぼかし、ウォーターマーク、乱雑なテキストは避ける。黒い背景にスタイライズされた文字で構成されたDiorロゴ。

音声駆動のモーションとリップシンク

Wan 3.0は指定した音声トラックを使ってキャラクターの動きを誘導し、口の動きを音声に同期させます。セリフ付きクリップ、音楽パフォーマンス、ダンス動画、その他の音声主導シーンを、より正確なタイミングで作成できます。

入力動画
薄い青色の背景に置かれた、SPF 50+のSkin Pure UVクリームのチューブ。

プロンプト

12秒のバスルームUGC、柔らかな日中光、手持ち風。女性が日焼け止めを紹介して塗り、軽い使用感で白浮きしない仕上がりを称賛。ジェスチャーと口の動きをセリフに自然に同期。

出力動画

Wan 3.0の実際の活用例

  • 短編映画とキャラクターストーリー:顔や服装が不自然に変わることなく、セリフシーン、歩行ショット、長い物語シーケンスでも同じキャラクターを認識可能なまま維持。
  • ファッションと飲料のキャンペーン:ドレスのなびき、布の動き、飲み物を注ぐ表現、水しぶき、商品との相互作用を、広告やSNSキャンペーン向けにより説得力ある動きで作成。
  • 商品ローンチ動画:1080Pの鮮明なクローズアップ、360°商品紹介動画、パッケージ公開、映画的なブランドビジュアルを、ECページ、プレゼン、ローンチイベント向けに生成。
  • SNS広告の反復制作:TikTok向け短尺広告、Instagram、YouTubeのテスト時に、複数のフック、カメラ動作、シーンバリエーションをより高速に制作・比較。
  • 写真アニメーションと動画延長:ポートレートや商品画像をアニメーション化し、計画した2つのキーフレームをつなぎ、既存クリップを予告編、トランジション、キャンペーン編集向けに延長。

比較:Wan 3.0 vs Kling 3.0 vs Sora 2

機能Wan 3.0Kling 3.0Sora 2
対応入力テキスト、画像、音声、動画テキスト、画像、開始/終了フレーム、画像または動画リファレンステキストと画像入力
動画の長さ30秒15秒25秒
時間的一貫性長いシーケンス全体でキャラクターとオブジェクトを安定維持ショット間で妥当な一貫性を維持一貫性のあるマルチシーン生成をサポート
物理シミュレーション液体、布の動き、複数オブジェクト相互作用を改善一般的な動きとシーン相互作用に対応リアルな動きと環境のシミュレーション向けに設計
生成制御先頭フレームアニメーション、開始/終了フレーム制御、動画継続要素リファレンス付き自動またはカスタムのマルチショット絵コンテマルチショットプロンプト、キャラクターリファレンス、動画編集、延長

Pollo AIでWAN 3.0を使用する方法

01

WAN 3.0を選択

画像から動画ページを開き、Wan 3.0モデルを選択します。

02

プロンプトまたは画像を入力

動画を作成するには、プロンプトを入力するか、参考画像をアップロードします。

03

動画を生成

お好みの設定を選択し、「生成」をクリックしてWan 3.0で動画を作成します。

Wan 3.0 プロンプト

Four-Way Gun Standoff
Four-Way Gun Standoff
V著者VictorInFocusAUG 13, 2026

All four men are armed. Performances are restrained, dry and quietly tense, with subtle micro-expressions. BEAT 1 Quick individual shots of each man holding his gun and staring at someone just outside frame. Small eye movements, tightened jaws, slow blinks, controlled breathing. Each man is trying to look completely unfazed. Cut between them, gradually suggesting they are all aiming at one another. BEAT 2 Cut wide to reveal all four men several metres apart in a loose circle, each pointing his gun at another man in a four-way standoff. Hold the wide shot. Wind lightly moves their suits. Nobody lowers their weapon. The man in the cream suit glances around the circle. CREAM SUIT, completely calm in a British accent: “Anyone care to explain how we got here?” A brief silence. The older man in pink barely shifts his expression. OLDER MAN IN PINK, dry in an American accent: “Bad manners, mostly.” BEAT 3 Hold on the group. A tiny smirk. A raised eyebrow. Eyes flick between faces and guns. One man subtly adjusts his grip. Slow, almost imperceptible push toward the group as the silence becomes uncomfortable. Nobody fires. Cut just as it feels like someone is about to.

Ultra-Realistic Candid Korean Woman Bedroom Video
Ultra-Realistic Candid Korean Woman Bedroom Video
N著者Naiknelofar788AUG 09, 2026

Create a 30-second ultra-realistic multi-shot candid observational video of a young Korean woman relaxing naturally in her bedroom. Use multiple distinct shots and camera angles, not a single continuous take. The footage should feel like an accidentally captured real-life moment. STYLE: Handheld documentary realism, imperfect framing, subtle camera shake, gentle exposure breathing, autofocus settling slightly late, realistic skin texture, soft natural indoor light and shallow depth of field. Natural blinking, breathing, body movement and restrained authentic expressions. No posing, glossy commercial look or cinematic perfection. SUBJECT: A naturally beautiful young Korean woman in her early 20s with long dark hair. She wears a matching cotton pajama set: scoop-neck sleeveless top and loose shorts. Barefoot, minimal makeup, realistic skin texture. SETTING: A lived-in, slightly messy bedroom with an unmade bed, soft bedding and everyday personal belongings. She relaxes on her stomach across the bed while browsing a shopping page on a black smartphone. A house cat interacts naturally with her. SHOT 1 — 0–4s: She lies on her stomach, casually scrolling through a shopping page. She frowns slightly, then mutters in Korean: "아, 뭐 살랬더라..." ("Ah... what was I going to buy again?"). Natural Korean lip sync. Her bare feet gently sway behind her. A low handheld camera glides beside the mattress. SHOT 2 — 4–8s: A house cat jumps onto the bed, compressing the blanket and walking toward her arm. It gives one natural meow. The camera reacts with a tiny jolt, then reframes toward her face, hands and cat. SHOT 3 — 8–12s: She turns toward the cat and gently strokes it from forehead to shoulders. She affectionately says: "우리 애기 왔어?" ("Did my baby come?"). Accurate lip sync. The camera pushes closer through the cat's softly blurred foreground. SHOT 4 — 12–16s: Her friend's ringtone sounds. She looks down, checks the caller, swipes to answer and brings the phone to her ear. The camera makes a loose semicircular movement from a slightly tilted overhead angle. SHOT 5 — 16–21s: Her friend talks. She listens with a confused expression, then reacts: "어, 왜? 진짜 거짓말!" ("Huh? Why? No way, you're kidding."). She immediately bursts into genuine laughter. The cat kneads the blanket beside her. A close handheld side angle captures her profile and phone. SHOT 6 — 21–25s: A clear doorbell interrupts her laughter. She and the cat turn toward the bedroom door. She pauses, realizing her food has arrived, braces one hand on the mattress and begins getting up. The camera reacts slightly late before correcting back to her movement. SHOT 7 — 25–30s: Still holding the phone, she says in Korean: "어, 나 밥 왔다. 끊어." ("Oh, my food's here. I'll hang up."). She ends the call, gets off the bed and walks toward the door. The cat follows across the blankets. The camera tilts upward as she stands, ending with a natural handheld follow toward the doorway. AUDIO: No music. Raw realistic production sound: quiet breathing, bedding rustling, finger taps, cat movement, meow, faint purring, ringtone, call connection tone, muffled friend voice, accurate Korean dialogue and lip sync, genuine laughter, doorbell and call-ending tap. IMPORTANT: No subtitles, captions, logos, watermark or on-screen text. No duplicated subjects, slow motion, exaggerated acting or perfect stabilization. Keep movements spontaneous and observational. Maintain the same woman, outfit, hairstyle, bedroom and cat throughout. DURATION: 30 SECONDS ASPECT RATIO: 16:9 TOTAL SHOTS: 7

Doorway to a Magic Street
A著者Alibaba_WanAUG 07, 2026

分段1[0-5秒]:一个连续的、照片级写实的电影镜头。在 图2的现代公寓玄关内, 图1的儿童以斜侧身位站在画面中央,面对镜头微笑并做出自然的招手动作,示意观众跟上,右脸颊浮现浅浅的酒窝。随后他放下手臂,身体流畅地向左后方转身<脚步踩在木地板上的两声轻响>,他背对镜头走向前方的木纹入户门,伸出左手握住黑色电子锁把手转动<咔哒机械解锁声>,缓慢地将门向内打开。在这段前半部分摄影机保持完全静止,角色的外貌和服装保持一致,动作自然流畅,门的结构和材质呈现真实质感。柔和的室内顶光均匀照亮米色墙壁和浅棕色木地板,无硬切或突兀的场景转换。分段2[5-10秒]:从上一分段的最后一帧无缝衔接,角色、服装、公寓玄关和机位保持完全一致。角色将门完全打开,一股暖黄色的、夹带着潮湿气息的光线从门外涌入。门外是 图3 的魔法街巷世界——一条湿漉漉的鹅卵石窄巷向纵深延伸,两侧是高耸的哥特式尖顶建筑,锻铁招牌从墙面伸出,暖橙色的煤气灯笼照亮每一扇橱窗,远处一座尖塔在灰蓝色暮云中若隐若现,屋顶烟囱冒着白烟<远处隐约的钟声>。构图设计、摄影机角度、空间距离以及玄关与街巷两个空间层次之间的关系保持一致,门外的所有环境都是魔法街巷世界。他在门口稍作停顿,回头越过左肩再次看向镜头,脸上的微笑从轻松转为带着好奇的兴奋。当镜头越过门槛时光线和氛围从室内明亮暖木色调变化为街巷湿冷的暖橙灯光与灰蓝暮色交织,但空间和照明在物理上保持自然且连续(低沉的大提琴旋律缓缓响起,间杂竖琴拨弦)。无硬切或突兀的场景转换。分段3[10-15秒]:从上一分段的最后一帧无缝衔接,镜头此刻已穿过门框进入魔法街巷世界。他转身迈步踏上湿漉漉的鹅卵石路面<皮鞋踩在湿石板上的清脆回响>,镜头以稳定的跟拍轨迹从身后平滑跟随,持续穿过门洞进入窄巷深处。他的身影在两侧高耸建筑之间缓步前行,他的灰色毛衣和深色长裤被两侧橱窗透出的暖光交替照亮,路面积水倒映着头顶灯笼和建筑轮廓,远处尖塔越来越清晰。最终镜头落幅于一个纵深全景画面,将他行走在灯火通明的魔法窄巷中的背影置于湿漉石路与哥特尖塔的正中心(大提琴与竖琴在此交织达到沉稳而神秘的高点)。全程无硬切或突兀的场景转换。写实与暗黑奇幻无缝过渡质感,高清锐利画面,玄关暖木低饱和色调渐变为街巷暖橙灯光与灰蓝暮色交织的高对比暗调。

Authentic Cycling Vlog: Post-rain Mountain Road
Authentic Cycling Vlog: Post-rain Mountain Road
J著者johnAGI168AUG 08, 2026

【Style】Authentic Cycling Vlog, action cam + phone front camera + tracking shots, 4K Photorealistic, overcast soft light, sweaty skin with real pores, no beauty filters, vertical 9:16. 【Duration】30 seconds 【Scene】Winding mountain road after rain, wet asphalt with a shiny sheen, metal guardrails on the side, moving clouds and mist over distant mountains, water droplets on roadside plants. 【Character】Female cyclist, white road helmet, blue mirrored cycling glasses, dark grey short-sleeve cycling jersey (cityscape print on chest, full zipper, black action cam remote clipped below collar), burgundy cycling shorts (two white stitches on side seams), pink sports watch, black carbon fiber road bike, black deep-rim wheels. 【Glasses Rule】Glasses are worn only during full-speed riding shots (Shot 2, Shot 5, Shot 6); for parking and selfie shots (Shot 1, Shot 3, Shot 4, Shot 7, Shot 8), glasses must be perched on the helmet forehead, leaving the face and eyes fully exposed. 【Global Constraints】Same cycling kit and helmet throughout, no outfit changes; sweat volume increases over time, no regression; hands must always be on the handlebars or phone while moving, no 'third hand'; no other cyclists in the frame. [00:00-00:04] Shot 1: Ground-level Low Angle Start Extremely low angle near the ground, wet asphalt at the bottom edge. She is stopped by the roadside with one foot down, glasses on her helmet, face fully visible, looking down at the camera with a smile. Action: She raises both hands to pull the glasses down over her eyes, then hands return to the bars, foot clips into the pedal with a 'click', crank turns, chain engages, front wheel rolls through a small puddle, splashing water to the sides. The camera follows the wheel slightly. SFX: Pedal clipping, chain engaging, tire splashing. [00:04-00:08] Shot 2: Car-to-car Side Tracking Side tracking shot moving at the same speed, full body in frame. She lowers her torso, hands on the drops, back flat, knees pumping, blue mirrored glasses on. Background guardrails and misty mountains blur past. Detail: First layer of sweat on temples, a small dark sweat patch appearing on the back seam of the jersey. [00:08-00:12] Shot 3: Roadside Selfie (Front Camera Selfie POV) Phone front camera perspective, slight wide-angle distortion. She is stopped, one foot down, pushes glasses back to the helmet first, then holds the phone. Action: She grins at the camera, panting, says something, shoulders rising with breath. She turns the phone to show the curve and misty mountains, then back to her face. Detail: Sweat sheen on forehead and nose, eyes clearly visible, hair stuck to face by sweat. Realistic handheld shake and wind noise. [00:12-00:16] Shot 4: 360 Action Cam / Invisible Selfie Stick 360 action cam effect, slight fisheye, selfie stick invisible. She is still stopped, glasses on helmet. Camera orbits her and the bike 360 degrees. Visuals: Face/helmet top -> wet road/guardrail -> bike rear -> misty valley -> back to face. Action: She looks at the camera and makes a 'let's go' gesture. Detail: Fine sweat beads on arms, sweat stain inside the watch strap. [00:16-00:20] Shot 5: Uphill Breathing Close-up (Handheld Close-up / Uphill) Side close-up of face and shoulders. Steep incline, glasses back on, pedaling slow and heavy. Action: She stands up to climb (dancing on pedals), gripping bars tight, torso swaying, mouth open for air, neck veins visible. A drop of sweat slides from temple to jaw and is blown away. Detail: Jersey front and back soaked dark, helmet straps wet, slight fogging on the lower edge of the glasses. [00:20-00:23] Shot 6: Downhill POV (Handlebar POV / First-person) Handlebar-mounted camera. Shows black bars, tape, computer screen, and her hands. Action: Descending fast into a curve, leaning left, guardrails and trees flying by, splashing through a puddle. Fingers pull the brake levers, then release. SFX: Loud wind noise, high-speed vibration. [00:23-00:27] Shot 7: Wiping Sweat at Finish (Static Medium Shot) Static medium shot. She leans the bike on the guardrail, dismounts, takes off the helmet (glasses attached), and wipes her sweaty bangs back. Action: She drinks deeply from a water bottle, water spills from the corner of her mouth, she wipes her chin with the back of her hand and exhales deeply. Detail: Helmet hair, flushed face, pressure marks from glasses around eyes, sweat lines on neck and collarbone. [00:27-00:30] Shot 8: Ending Peace Sign (Low Angle Pull-back) Low angle looking up, helmet back on, glasses on forehead. She stands by the bike, one hand on the saddle, the other giving a peace sign, smiling while still panting. Misty valley behind her. Action: Camera slowly pulls back and down, she and the bike shrink into the lower third of the frame as mist rises behind her. SFX: Chain sounds, heavy breathing, wind noise, no music, ending with just wind and breath.

Ultra-Realistic Bigfoot Found Footage Sighting
Ultra-Realistic Bigfoot Found Footage Sighting
C著者Crypto_QianXunAUG 10, 2026

Ultra-realistic amateur forest creature sighting footage. Cheap handheld camera effect, low-quality visuals, unstable zoom, autofocus failure, heavy digital noise, compression artifacts, shaky framing, heavy breathing captured by the microphone, accidental overexposure between trees, raw mockumentary style. No polished cinematic quality. Only one invisible cameraman, a terrified hiker breathing heavily behind the lens. A massive Bigfoot-style woodland creature: tall and burly, covered in dark hair, human-like posture, heavy natural movements, never cartoonish. Dense forest daytime scene, uneven ground, wet fallen leaves, tree trunks, misty depth, broken branches, natural deep shadows. Authentic low-end camera texture, believable forest sound effects, realistic creature anatomy, limited but clear exposure, unstable autofocus, strong viral effect, natural motion, horror realism, no comedy, no digital polish. 0-5s: Shaky handheld POV - camera moves through the forest, loud breathing, branches hitting the lens. The cameraman whispers in French: "Attends… attends… c'est quoi ça là-bas?" The image struggles to focus between trees. 5-10s: Chaotic zoom - through the trees, a massive hairy creature looms in the distance, half-hidden behind a trunk. The cameraman mutters: "Non… non… c'est pas possible…" The creature slowly steps into a small patch of light. 10-15s: Unstable advance and panicked reframing - the Bigfoot creature turns toward the camera. Only one second of clear footage: massive shoulders, long arms, wet dark fur, heavy breathing. The cameraman gasps: "Oh mon Dieu…" 15-20s: Violent shaking, partial frame loss - the creature suddenly lets out a deep roar and takes two quick steps toward the camera. The cameraman panics, stumbles backward, and the camera falls toward the ground. The final frame captures the creature rushing through the woods before cutting to black.

UGC Luxury Sunglasses Review
UGC Luxury Sunglasses Review
A著者AIwithSynthiaAUG 09, 2026

Use the uploaded reference image as the exact character reference. Preserve her facial identity, hairstyle, eye color, makeup, skin tone, body proportions, white sleeveless fitted top, light blue wide-leg jeans, pearl choker, rings, and bracelets consistently throughout the video. Use the uploaded sunglasses, retail box, and leather carrying case as locked product references. Maintain perfect product consistency, including the frame shape, lenses, hinges, colors, materials, and proportions. Create an ultra-realistic UGC luxury creator review filmed inside a modern luxury bedroom with warm golden-hour sunlight, soft natural shadows, and a premium lifestyle aesthetic. The camera feels like a handheld smartphone with subtle natural movement while maintaining cinematic commercial quality. The video begins with the woman sitting on the bed beside the retail box and leather case. Smiling at the camera, she says, "I genuinely wasn't expecting to love these this much." She picks up the box, opens it naturally, reveals the leather case, then slowly removes the sunglasses while continuing, "The packaging already feels incredibly premium." She rotates the sunglasses slowly in front of the camera, showing the frame, hinges, and lenses as natural reflections glide across the surface. She smiles and says, "The finish feels amazing, and they're incredibly lightweight." She puts on the sunglasses, stands up, and walks toward a large full-length mirror. Looking at her reflection, she adjusts the frame naturally and says, "Honestly... they look so good, and they're really comfortable on the eyes, even in bright sunlight." She turns slightly left and right so the sunglasses catch the sunlight from different angles before removing them with a smile. Walking back to the bed, she places the sunglasses beside the leather case and retail box, then picks them up one last time and holds them beside her face. Looking directly into the camera, she smiles warmly and says, "Definitely one of my favorite accessories this year." The camera slowly pushes in on the sunglasses before fading out. Ultra-realistic UGC fashion content, authentic creator review, cinematic handheld smartphone movement, luxury bedroom, macro product cinematography, realistic reflections, detailed frame textures, expressive facial animation, perfect lip sync, shallow depth of field, premium color grading, 4K HDR, 16:9, no subtitles, no logos, no watermarks, no on-screen text on it

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Liz Cassidy photoRichard Quick photoarmourdude photo5000件以上のレビュー信頼度スコア 4.4

1,000万人以上のクリエイターとマーケターが利用

何千人もの満足したユーザーがTrustpilotでPollo AIの体験を共有し、「素晴らしい」と評価しています。彼らが当プラットフォームのどんな点を気に入っているか、ぜひご覧ください。

Liz Cassidy photoLiz Cassidy
TrustpilotのレビューDec 15, 2025
Easy to use, great results for short videos
I’ve been using Pollo AI mainly for short videos and quick image-to-video tests. The interface is straightforward and it works well even with simple prompts, which is a big plus compared to tools that need long, complicated instructions. The results can be really impressive, and it’s honestly been fun to experiment with. I’d love a bit more consistency on faces when there’s movement, but overall it’s been a solid experience for what I needed.
Richard Quick photoRichard Quick
TrustpilotのレビューOct 15, 2025
Awesome website
Awesome website. loads of options and a great way to learn how to work with 'AI' my reasoning for 5 stars is based upon price, versatility and ease of use. Also I would like to add, Pollo AI runs a lot of promos on different AI products as well. I rate their customer service at 5 stars, when I purchased my first subscription my computer crashed the following weekend and I lost all my data and info passwords you name it I lost it, contacted pollo by email they responded quickly and found my info/username and account, and I was able to restore my account.
armourdude photoarmourdude
TrustpilotのレビューNov 19, 2025
I have been using Pollo AI for short…
I have been using Pollo AI for short videos. It is easy to use and works well with simple prompts. Other generators seem to need long drawn out complicated explanations to get even close to what I want.
Dudu photoDudu
TrustpilotのレビューJan 14, 2026
I'm just amazed by the level of quality…
I'm just amazed by the level of quality output that Pollo AI can produce from a simple image. The motion, the realism, It's too good!!
Ray Warnes photoRay Warnes
TrustpilotのレビューDec 30, 2025
A fabulous journey
I find Pollo easy to use, it gives me great results and I'd recommend it to anyone. It has been a wonderful experience for me.
lawless clan photolawless clan
TrustpilotのレビューNov 22, 2025
i tried 220 online img to vid in 2…
i tried 220 online img to vid in 2 months, and this is the best online video.I will subscribe for a year; there are many reasons. But freedom is the most important.

よくある質問

WAN 3.0とは何ですか?

Wan 3.0は、テキスト、画像、音声、既存の映像から動画を生成するマルチモーダルAI動画モデルです。より強力な時間的整合性、リアルな物理演算、ネイティブ1080P出力、そしてより柔軟な動画制御に重点を置いています。

Wan 3.0はどのような種類の動画を作成できますか?

Wan 3.0は、キャラクターストーリー、製品ビデオ、ファッションキャンペーン、アクションシーン、トークビデオ、映画のようなソーシャルコンテンツを作成できます。また、マルチモーダルな入力に対応しているため、新世代のワークフローにも既存のワークフローにも適しています。

Wan 3.0は、長尺動画でもキャラクターの一貫性を維持できるのか?

Wan 3.0は、より長いシーケンスにおいてもキャラクターやオブジェクトの同一性をより確実に維持するように設計されています。これにより、顔のずれ、衣服の細部の変化、撮影途中で被写体が変形するなどの現象を軽減できます。

Wan 3.0の動画におけるキャラクターの一貫性を向上させるにはどうすれば良いですか?

明確な参考画像を使用し、指示ごとにキャラクターの説明を変えないようにし、服装、髪型、カメラの向きを一定に保つようにしてください。シンプルなシーン切り替えも、キャラクターの個性の乖離を抑えるのに役立ちます。

Wan 3.0は既存の動画を拡張できますか?

はい。動画の連続再生機能により、元の被写体、設定、動きの方向を維持したまま既存の映像を延長できるため、長尺の編集、トランジション、キャンペーンのバリエーション制作に役立ちます。

Pollo AIでWAN 3.0を無料で利用できますか?

はい。Pollo AIでは無料クレジットを使ってWan 3.0 AIビデオジェネレーターをお試しいただけます。より多くのデータを使用したり、処理速度を向上させたり、ウォーターマークなしの結果を得るには、有料プランが必要になる場合があります。

今すぐWan 3.0で作成を始めよう

Wan 3.0で、リアルな物理演算、マルチモーダル入力、音声と同期した動きによる30秒の動画を作成できます。