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Kyeo AI
AI動画モデル
Alibaba
Wan 2.5

Wan 2.5 Video

Kyeo AIのWan 2.5 Videoで使えるテキスト生成と画像1枚からの動画生成、5／10秒、720p／1080p、プロンプトの違い、60～200クレジットの料金を確認できます。 Kyeoでは解像度と長さに応じて正確に課金します。720p・5秒は60クレジット、720p・10秒は120クレジット、1080p・5秒は100クレジット、1080p・10秒は200クレジットです。デフォルトは720p・5秒の60クレジットです。Wan 2.5の60/100/120/200クレジットの計算方法 — Kyeo AIのWan 2.5 Videoで使えるテキスト生成と画像1枚からの動画生成、5／10秒、720p／1080p、プロンプトの違い、60～200クレジットの料金を確認できます。

このモデルを使うクレジット料金を見るモデル一覧に戻る
タスクルート
テキストから動画、または画像1枚から動画
現在のクレジット
60/100/120/200クレジット
出力設定
720p/1080p；5/10秒
`prompt` / `safety`
メインプロンプトは最大800文字、ネガティブプロンプトは最大500文字。安全確認はタスクに適用されます。
30秒でわかる
  • Wan 2.5の60/100/120/200クレジットの計算方法 — Kyeo AIのWan 2.5 Videoで使えるテキスト生成と画像1枚からの動画生成、5／10秒、720p／1080p、プロンプトの違い、60～200クレジットの料金を確認できます。
  • 720p・5/10秒は60/120クレジット、1080p・5/10秒は100/200クレジット
  • 画像生成の画像素材はJPG/PNG/WebPを1枚まで、最大10MB
  • 送信前にメインプロンプトの上限800文字とネガティブプロンプトの上限500文字を確認し、安全確認を適用します。

よく検索されるキーワード: Wan 2.5 Videoの使い方 · Wan 2.5のテキスト生成と画像生成ではどのルートを使うか · Wan 2.5の60/100/120/200クレジットの計算方法

例

Cinematic scene

Create an immersive vertical 16:9 AI-generated short film captured entirely from the perspective of a real audience member sitting in the back row of a huge modern commercial cinema in Europe or America. Deep red upholstered seats, black armrests, cup holders, dim aisle lights, green emergency lights, dark acoustic wall panels, and dozens of audience silhouettes fill the theater. The enormous curved cinema screen suddenly displays a stormy prehistoric jungle. Giant ferns bend under heavy rain, enormous tree trunks shake, vines swing violently, lightning illuminates volcanic ash clouds, and muddy water flows across the jungle floor. The audience begins recording with smartphones. Suddenly, a gigantic prehistoric Spinosaurus emerges from the darkness and charges toward the camera on the cinema screen. Its enormous crocodile-like jaws open as it runs, rainwater dripping from its dark green-brown scales, mud covering its legs, and its massive sail cutting through the storm. As it approaches, the creature appears to physically break through the curved screen into the theater. Rain, muddy water, leaves, steam, and mist explode into the audience space. People in several rows duck, raise their arms, turn their heads, and hold up phones. The camera operator instinctively leans backward and shakes while trying to keep the creature in frame. The Spinosaurus sweeps extremely low above the audience, its enormous tail creating a powerful gust that moves hair, clothing, and rain mist. The camera struggles to focus as droplets hit the phone lens. Red seats remain visible in the lower half while the creature dominates the upper frame. For the final climax, the Spinosaurus suddenly turns toward the back row and brings its enormous face extremely close to the phone. Its wet scales, sharp teeth, yellow eyes, muddy jaw, dripping saliva, and steaming nostrils are highly detailed. It releases a deafening roar directly toward the audience, producing a violent blast of hot mist, rain, and muddy spray across the lens. The image becomes partially blurred by water before slowly refocusing on its terrifying face. Realistic smartphone footage, natural hand shake, imperfect autofocus, exposure changes, realistic audience reactions, cinematic lighting only coming from the screen and theater lights, physically believable depth, photorealistic creature, dramatic rain and atmospheric effects, no gore, no injuries, no destruction of people or seats, no subtitles, no text, no logos, no recognizable movie IP, no professional camera movement, no drone perspective.

Cinematic scene

Create a 30-second, 1080p ultra-realistic personal home-video showing an ordinary summer evening in the life of a young Japanese woman. No reference image. MAIN SUBJECT Young Japanese woman in her early 20s, naturally pretty, realistic skin texture, minimal makeup, soft and cheerful personality. Shoulder-length dark brown hair worn down with a simple clip pinning back one side, a few loose strands framing her face. Wearing an oversized light-yellow short-sleeve shirt, denim shorts, white canvas sneakers and a thin gold anklet. Maintain the same face, hairstyle, clothing, body proportions and overall appearance throughout the entire video. SETTING A quiet older residential neighborhood in Kyoto during a warm summer evening. Narrow paved streets, low wooden houses, hanging laundry, vending machines, telephone poles, tangled overhead wires, a small corner convenience store, a shrine gate visible in the distance, cicadas humming in the trees, and long tree shadows stretching across the road. Everything should feel lived-in, ordinary and peaceful. No tourist attractions, advertisements, recognizable brands or commercial activity. CAMERA / VISUAL AESTHETIC Raw personal footage casually recorded by a friend on an early-2000s consumer DV camcorder. Strong handheld shake, imperfect framing, autofocus hunting, exposure shifts, occasional motion blur, faded colors, soft digital detail, mild noise, accidental zooms and natural camera imperfections. No stabilization, drone footage, gimbal movement, dramatic lighting or polished commercial cinematography. — OUTSIDE THE HOUSE She steps outside holding a small paper fan. She slides the door shut, glances at her reflection in a window, and looks toward the camera with a shy laugh. A warm evening breeze rustles the nearby wind chimes as she starts walking down the street. — CONVENIENCE STORE STOP She reaches the small corner store and buys a popsicle. She steps outside, unwraps it, takes her first bite and scrunches her face happily at the taste. She notices her friend filming and waves the popsicle toward the camera with a grin before taking another bite. — WALKING HOME She continues down the quiet street while eating. A small dog tied outside a shop barks softly and wags its tail. She kneels down and gently scratches behind its ears. The dog's owner calls it back and she stands, giggling as she walks on. — SMALL ACCIDENT She walks past a low hanging laundry line when a stray sheet brushes against her head. She stops, startled, then realizes what happened and bursts out laughing. She pats down her hair while her friend zooms clumsily toward her face. She looks directly into the camera and says: "Mou, yamete!" ("Come on, stop it!") — QUIET MOMENT She reaches a small stone step near a shrine gate and sits down for a moment. She finishes the popsicle while watching fireflies begin to flicker faintly near the bushes. A gentle breeze moves her hair. She tucks a loose strand behind her ear and looks around peacefully. — FINAL MOMENT She stands up and continues walking home. After a few steps, she turns back toward the camera with a soft playful smile and says: "Hayaku kite." ("Come on, hurry up.") She keeps walking down the dim lane as the streetlights flicker on, while the camera follows behind. She disappears around the corner and the recording abruptly cuts to black. AUDIO Natural location sound only: cicadas, wind chimes, footsteps, distant bicycle bells, a vending machine hum, sliding doors, rustling laundry, faint conversations and subtle camera-handling noise. No music. No narration. No artificial sound effects. Only the two spoken lines specified above. FINAL FEEL The entire video should feel like a forgotten summer recording from the early 2000s. Warm, gentle, casual, slightly playful, intimate and nostalgic. No dramatic events, no exaggerated acting, no model poses and no polished cinematic shots. The realism should come from ordinary surroundings, natural expressions, small accidents, realistic environmental movement and imperfect camcorder operation.

Cinematic scene

A cinematic fashion film set on a breathtaking coastal landscape. A stylish young woman walks naturally along a rugged seaside path, surrounded by wild greenery and delicate flowers. She wears a relaxed oversized brown knit sweater with elegant ivory trousers. Behind her, crystal-blue ocean waters stretch toward a towering lush green mountain rising from the sea. Soft golden-hour sunlight creates a warm, dreamy atmosphere. A gentle ocean breeze naturally moves her hair and sweater. Start with a wide cinematic establishing shot of the coastline, then smoothly track alongside her as she walks, transitioning into elegant close-ups of her outfit, hair, and subtle facial expressions. Spoken Voice / Dialogue: The woman speaks naturally while walking, in a soft, calm, confident female voice. Her delivery should feel spontaneous and conversational, with realistic breathing and subtle pauses. She says: “Sometimes, all you need is a quiet place, a little fresh air, and a moment to simply slow down and enjoy where you are.” Her lip movements must accurately synchronize with every spoken word. Natural facial expressions, realistic mouth movement, and subtle head gestures while speaking. No exaggerated acting. Ambient Audio: Gentle ocean waves crashing against the rocks, soft coastal wind, subtle rustling of flowers and leaves, quiet footsteps, and distant seabirds. Keep the environmental sounds natural and cinematic underneath the dialogue. No background music and no additional voices. Photorealistic, natural skin and hair, realistic fabric movement, cinematic lighting, smooth camera movement, shallow depth of field, soft bokeh, subtle film grain, premium fashion-commercial aesthetic, atmospheric color grading, 4K cinematic quality. No text, no logos, no watermark.

Cinematic scene

Style: Ultra-realistic cinematic fashion reel, luxury editorial, premium Instagram creator aesthetic, smooth camera movement, natural lighting, 4K, highly detailed fabrics, realistic clothing physics. Scene Overview A stylish male model showcases five iconic fashion eras from the 1920s to the 1960s. The video takes place in the same modern studio with soft daylight and a clean architectural background. The same model appears throughout the video while only the clothing changes between decades. Every outfit change happens naturally during camera movement, creating a smooth and satisfying visual flow. The only on-screen text is the decade name. Music is a modern electronic fashion track that builds continuously without vocals. Character Use the reference image as the model. Young adult male. Confident but relaxed. Friendly expression. Natural walking pace. The same model appears in every scene. Environment Minimalist fashion studio. Large windows. Warm daylight. Neutral beige walls. Polished concrete floor. Luxury editorial atmosphere. Keep the background consistent throughout the video. 0:00–0:03 — 1920s The video opens with the model standing confidently in the center of the studio. The camera slowly moves closer. He adjusts his cufflinks before looking toward the camera. Outfit Charcoal pinstripe three-piece suit White dress shirt Dark tie Waistcoat Pocket watch chain Oxford shoes Grey newsboy cap On-screen text: 1920s As the camera quickly pans to the right, the clothing smoothly changes into the next decade. 0:03–0:06 — 1930s The camera finishes the movement. The model now wears a cream double-breasted suit with wide lapels, pleated trousers, spectator shoes, and a fedora. He places one hand in his pocket and takes a confident step forward. On-screen text: 1930s The camera gently circles around him, and during the movement the outfit changes into the next style. 0:06–0:09 — 1940s The camera completes the circle. The model now wears an olive green utility jacket with tailored trousers, brown leather boots, and a classic wristwatch. He buttons the jacket while walking slowly toward the camera. On-screen text: 1940s A warm light sweep crosses the frame, leading naturally into the next outfit. 0:09–0:12 — 1950s The model now wears a fitted white T-shirt, dark blue cuffed jeans, a brown leather belt, leather boots, and classic sunglasses. He casually adjusts the sunglasses before taking two relaxed steps forward. On-screen text: 1950s The camera briefly moves closer, then pulls back, allowing the clothing to change smoothly. 0:12–0:15 — 1960s The model now wears a black turtleneck, camel overcoat, slim trousers, Chelsea boots, and a simple wristwatch. He walks confidently toward the camera with both hands in his coat pockets. On-screen text: 1960s During the final second, the camera begins a slow clockwise circle around him. His coat moves naturally as he lightly adjusts the collar. The music continues to build instead of ending. 0:15–0:18 — 1970s The video begins exactly where Part 1 ended. The camera continues its slow clockwise movement around the model before settling into a smooth front-facing angle. The music hits the next beat naturally. Outfit Brown suede jacket Patterned open-collar shirt Flared trousers Brown leather belt Platform shoes Gold wristwatch Aviator sunglasses The model adjusts his sunglasses before removing them with a confident smile. On-screen text: 1970s As the camera moves slightly closer, the outfit changes naturally into the next decade. 0:18–0:21 — 1980s The camera continues tracking forward. The model now wears a charcoal oversized business suit with a patterned tie, pleated trousers, polished loafers, and a classic dress watch. He straightens his tie while walking confidently toward the camera. On-screen text: 1980s The camera briefly passes beside him, creating a smooth transition into the next outfit. 0:21–0:24 — 1990s The camera emerges on the opposite side. The model now wears an oversized light-wash denim jacket over a graphic T-shirt, relaxed jeans, chunky white sneakers, and a simple silver chain. He smiles naturally while walking across the frame with both hands in his jacket pockets. On-screen text: 1990s The camera follows his movement before quickly swinging to reveal the next decade. 0:24–0:27 — 2000s The camera settles into a smooth tracking shot. The model now wears a black leather jacket over a fitted white T-shirt, slim dark jeans, white high-top sneakers, and aviator sunglasses. He casually removes the jacket from one shoulder while continuing to walk. The movement of the jacket naturally fills part of the frame as the clothing changes into the final look. On-screen text: 2000s 0:27–0:30 — 2020s The jacket clears the frame. The camera slowly pushes toward the model. He now wears a modern quiet luxury outfit. Outfit Beige overshirt Premium white T-shirt Relaxed tailored trousers White minimalist sneakers Luxury stainless steel watch Simple silver ring The model walks toward the camera before stopping naturally. He smiles confidently while looking directly into the lens. On-screen text: 2020s The decade text gently fades into: 100 YEARS OF MEN'S FASHION Then below it: 1920 → 2020 The music reaches its final peak before fading smoothly. The camera holds on the model for a brief moment before fading to black. Camera Style Smooth cinematic movement Gentle dolly shots Slow orbit around the model Occasional push-in Natural handheld feel Soft depth of field Luxury fashion commercial look Visual Style Premium editorial photography Warm natural colors Soft contrast Highly detailed fabrics Clean tailoring Realistic lighting Crisp facial details Natural movement Elegant pacing

Cinematic scene

Create a 30-second, 1080p ultra-realistic personal home-video showing an ordinary evening in the life of a young Korean woman. No reference image. MAIN SUBJECT Young Korean woman same face as <<<image_1>>> in her early 20s, naturally pretty, realistic skin texture with visible pores and texture, minimal makeup, soft and slightly tired expression after a long day. Long straight black hair tied in a loose low bun, a few flyaway strands near her ears, small silver hoop earrings. Wearing an oversized beige knit cardigan over a plain black turtleneck, straight-leg dark jeans, white canvas sneakers, and carrying a small worn tote bag. Maintain the same face, hairstyle, clothing, body proportions, and appearance throughout the entire video. SETTING A quiet riverside neighborhood in Seoul on a cool early-autumn evening, right after a light rain has just stopped. Wet pavement reflecting streetlights, a small laundromat with fogged windows, a street-side flower stand closing up, a covered bus shelter, a narrow pedestrian bridge over a stream, scattered puddles, string lights above a closed market alley, a convenience store with a lit sign, and a few pigeons picking at the ground. Everything damp, quiet, and softly lit as dusk settles in. **CAMERA / VISUAL AESTHETIC** Raw personal footage casually recorded by a friend. Handheld camera with natural shake, imperfect framing, occasional partial crops, autofocus hunting on reflections and wet surfaces, exposure shifts between streetlight glow and shadow, mild motion blur, soft image detail, subtle digital noise, slightly desaturated evening colors, and natural camera imperfections. The camera operator walks with her and reacts naturally. No stabilization, no cinematic camera movements, no dramatic lighting, no slow motion, no polished commercial appearance. The footage should feel accidentally beautiful rather than deliberately cinematic. --- **00:00–00:05 — LEAVING THE LAUNDROMAT** She pushes open the laundromat door, stepping out with a small basket of folded laundry against her hip. She glances up at the sky, checking if it's really stopped raining, and exhales a small relieved breath. The camera follows her out, slightly unsteady on the wet step. She glances back at the camera with a tired little smile. **00:05–00:10 — THE FLOWER STAND** She walks past a street-side flower stand that's closing up for the night. She pauses, picks up a small bundle of daisies on impulse, pays the vendor, and tucks them into her tote bag. The camera briefly focuses on the flowers before drifting back up to her face. **00:10–00:15 — THE PEDESTRIAN BRIDGE** She crosses a narrow footbridge over the stream, puddles reflecting the streetlights beneath her feet. She stops halfway, resting her forearms on the railing, looking down at the water without saying anything. The camera stays slightly shaky and imperfectly framed, as if her friend is just leaning on the railing beside her. **00:15–00:20 — CONVENIENCE STORE STOP** She ducks into a small convenience store, the automatic door chiming behind her. She grabs a warm canned coffee from the heated shelf, pays, and steps back outside, cracking it open right away. A passing scooter splashes through a puddle in the background. The camera operator accidentally clips the doorframe while following her out, then quickly reframes. **00:20–00:25 — BUS SHELTER** She sits under a covered bus shelter, sipping her coffee, laundry basket beside her feet. A few pigeons wander near the curb; she watches them idly, unbothered. Steam rises faintly from the coffee can in the cool evening air. The camera drifts slightly out of focus on the streetlight behind her, then refocuses. **00:25–00:30 — FINAL MOMENT** She notices the camera still recording and turns toward it, laundry basket now tucked under one arm. She gives a small amused, slightly embarrassed smile and says: *"Why are you still filming me?" She laughs quietly and starts walking toward the camera, waving it off with her free hand. The camera moves backward as she approaches, and the recording abruptly cuts to black before she reaches it. --- **AUDIO** Natural location sound only: Footsteps on wet pavement, distant traffic, dripping water, a scooter passing, the convenience store door chime, coins and paper bag rustling, pigeons cooing, fabric movement, a bus passing in the distance, and subtle handheld camera noise. No music. No narration. No artificial sound effects. Only the single spoken line: *"Why are you still filming me?" **FINAL FEEL** The entire video should feel like a completely ordinary rainy evening that somehow became a quiet, beautiful memory. Soft, feminine, tired-but-content, intimate, gently nostalgic, and unplanned. No dramatic events. No exaggerated acting. No model poses. No cinematic hero shots. The realism should come from tiny imperfections, damp reflections, casual body language, natural expressions, ordinary surroundings, imperfect camera operation, and moments that feel completely unposed.

Cinematic scene

Main Subject: Young Korean woman, early 20s, windbreaker jacket over a t-shirt, hair tied back tightly against the wind, small backpack, adventurous relaxed energy. Location: Outdoor deck of a small passenger ferry, midday. Open sea stretching to the horizon, distant islands, seagulls trailing the boat, wooden deck railing. No crowds, no commercial signage. Visual Style: Ultra-realistic documentary realism, breezy adventurous feeling, bright natural sea light. Camera Style: Early 2000s DV camcorder, handheld with strong wind-induced shake, autofocus struggling against bright water reflections, soft grain. No stabilization. Timeline (15 sec, each slot = 2 compressed beats): 00:00–00:03 → She leans on the railing, hair whipping in the wind, watching the waves. 00:03–00:06 → She turns to camera saying "바다 냄새 진짜 좋다" ("The sea smells really nice"), laughing. 00:06–00:09 → A seagull swoops close; she ducks slightly, startled, then laughs. 00:09–00:12 → She points toward a distant island coming into view. 00:12–00:15 → She looks at camera saying "거의 다 왔나 봐" ("I think we're almost there"), smiling as it fades. Audio: Waves crashing against the hull, wind gusts, seagull cries, engine hum. Her dialogue as noted above. No music. Goal: A breezy, adventurous ferry ride moment free, warm, authentic.

ひとことで紹介

このモデルの特長

画像からの動画生成はJPG/PNG/WebPを1枚まで、10MB — メインプロンプトは最大800文字、ネガティブプロンプトは最大500文字. 同じプロンプトでテキスト起点と画像1枚の始点フレームをそれぞれ試し、4つの料金設定を段階的に検証する用途に向きます。動画入力、始点・終点フレーム制御、15秒出力、タイムライン編集には向きません。

得意なこと
これは2つのワークフローを持つ短尺動画の入口であり、汎用動画編集ツールではありません。Alibaba CloudのWan 2.5直結プレビューモデルからはファミリーと5/10秒の背景を確認できますが、現在の公開資料ワークフローのフィールドとKyeoのクレジットは分けて理解する必要があります。
おすすめのユーザー
同じプロンプトでテキスト起点と画像1枚の始点フレームをそれぞれ試し、4つの料金設定を段階的に検証する用途に向きます。動画入力、始点・終点フレーム制御、15秒出力、タイムライン編集には向きません。
Kyeo AIで使う理由
Kyeoは画像の有無で2つのワークフローを切り替え、送信前にテキスト長、パラメーター、素材数、必要クレジットをまとめて検証します。

主な仕様

このモデルが用途や業務に合うかをすばやく判断できます。

モデルカテゴリ
AI動画モデル
ベンダー
Alibaba
モデルファミリー
Wan 2.5
接続方式
現在のサイト内接続
タスクルート
Wan 2.5 — 非同期タスク
現在のクレジット
Wan 2.5 — 非同期タスク
Kyeoの料金
720p・5/10秒は60/120クレジット；1080p・5/10秒は100/200クレジット
画像素材
JPG/PNG/WebPを1枚まで；Kyeoと現在の公開資料インターフェースのフォームはいずれも10MB制限

別名

同じモデルでも、公式ドキュメント、コミュニティ、API接続層で呼び方が異なる場合があります。ここでまとめて確認できます。

Wan 2.5 — Wan 2.5のprompt expansionの役割

よくある質問・検索

タスク、入力条件、必要な結果から、モデルを選ぶ前に確認したい実用的な質問を整理しています。

Wan 2.5 Videoの使い方
Wan 2.5のテキスト生成と画像生成ではどのルートを使うか
Wan 2.5の60/100/120/200クレジットの計算方法
Wan 2.5で対応する解像度と長さ
Wan 2.5の画像生成で受け付ける画像
Wan 2.5のプロンプト上限
Wan 2.5のネガティブプロンプト上限
Wan 2.5のprompt expansionの役割
Wan 2.5とWan 2.6の選び方

選び方ガイド

モデル選びで迷う場合は、まず次のポイントをご確認ください。

1
まず入口を選ぶ

使える始点フレームがなければテキスト生成、構図の起点を固定したければ画像を1枚アップロードして画像生成を選びます。

2
最低設定から試す

まず720p・5秒の60クレジット設定でリクエスト、主体、カメラの方向を確認し、その後に長さや解像度を上げます。クレジットが多いほど品質が必ず上がるわけではありません。

3
送信前にテキストと安全スイッチを確認する

送信前にメインプロンプトを800文字以内、ネガティブプロンプトを500文字以内に収めてください。超過した入力はクレジット消費前に拒否され、安全確認は有効のままです。

よく検索される比較

同じタスクで候補を比べ、入力方法、制御項目、コストの違いを確認できます。

Wan 2.5 VideoとWan 2.6では入力範囲がどう違うか
Wan 2.5 Video vs Wan 2.6：長さとクレジット
Wan 2.5 VideoとWan 2.7 Videoではルートがどう違うか
Wan 2.5 Video vs Wan 2.7 Video：操作項目
Wan 2.5 VideoとWan 2.2 A14B Turboでは素材がどう違うか
Wan 2.5 Video vs Wan 2.2 A14B Turbo：解像度とクレジット

モデル比較表

現在のモデルと代替候補の主な違いを一覧で確認できます。

タスク範囲
Wan 2.5 Video
テキストまたは画像1枚から動画
Wan 2.6
テキスト、画像1枚、または動画1本の入力
Wan 2.7 Video
テキスト、画像、または動画ルート
長さと解像度
Wan 2.5 Video
5/10秒；720p/1080p
Wan 2.6
5/10/15秒；720p/1080p
Wan 2.2 A14B Turbo
5秒；480p/580p/720p
現在のクレジット
Wan 2.5 Video
60/100/120/200クレジット
Wan 2.6
70～315クレジット
Wan 2.2 A14B Turbo
8～24クレジット
表示される操作
Wan 2.5 Video
`resolution`; `duration`; `enable_prompt_expansion`; `seed`; `negative_prompt`
Wan 2.6
主に解像度と長さ
Wan 2.7 Video
ワークフローに応じて始点・終点フレーム、続き生成、透かし、音声などを提供
現在の入力契約
Wan 2.5 Video
入力と安全性の上限：メインプロンプトは800文字、ネガティブプロンプトは500文字までで、安全確認は常に有効です。
Wan 2.6
送信されない現在の公開資料インターフェースの操作項目があり、個別確認が必要
Wan 2.2 A14B Turbo
テキスト、画像1枚、または画像＋音声の入力モードを提供

実際の利用場面での見方

公開情報、現在のサイト内の範囲、代表的なタスクに基づく実用的な案内です。

同じ名前でも経路ごとに契約が異なる

Kyeoは現行の現在の公開資料インターフェースのフォームに合わせ、メインプロンプトを800文字に制限しています。Alibaba Cloudの直結プレビュー版のフィールドはそのまま適用できません。

入力境界は送信前に統一済み

送信前に入力を検証します。メインプロンプトは最大800文字、ネガティブプロンプトは最大500文字で、超過した入力はクレジット消費前に拒否されます。安全確認もタスクに適用されます。

機能の詳細

素材に応じてワークフローを切り替え

Kyeoは画像のアップロード有無でテキスト生成または画像生成のワークフローを選びます。両方で解像度、長さ、拡張、seed、ネガティブプロンプトを共有し、アスペクト比はテキスト生成だけに使います。

4つの料金設定を比較

720p／1080pと5／10秒は60、100、120、200クレジットに対応し、送信前に見込みクレジットを確認できます。

安全フィールドの実際の状態

タスクには安全確認が適用されます。処理する権利のある素材だけを使い、公開前にコンテンツの安全性、人物の同一性、ブランド要素を確認してください。

適した用途

テキストでショットの草案を作る

主体、動作、場面、カメラを短いプロンプトにまとめ、720p・5秒から生成の方向を確認します。

画像1枚を動かして試す

権利を確認した、構図に無理のないJPG、PNG、WebPを1枚アップロードし、プロンプトを短く保って始点フレームの影響を確認します。

同じ題材でパラメーターを比較

プロンプト、素材、seedを固定し、拡張、長さ、解像度だけを切り替えて、成功、所要時間、クレジット、実用性をそれぞれ記録します。

プロンプトのコツ

まず1つのショットを書く

主体、動作、環境、カメラの方向を明確にし、5/10秒のタスクに検証していない複数のトランジションを詰め込まないようにします。

ネガティブプロンプトは具体的な除外項目に絞る

表示したくない対象、アーティファクト、構図上の問題を優先して記述します。どちらの経路でも、ネガティブプロンプトは現在のインターフェースに記載された500文字以内にしてください。

拡張はオン／オフで比較する

同じプロンプトで拡張をオフとオンに分け、現在の公開資料インターフェースが補った内容が画面に役立つか、主体やブランドの制約から外れないかを確認します。

選ぶ理由

テキストと画像1枚の2つのルートを1つの入口で明確に切り替えられる。
4つの解像度・長さの組み合わせに対応するクレジットが明確。
拡張、seed、ネガティブプロンプトを使ってパラメーターを比較できる。
ローカルの画像1枚のアップロード形式と10MB制限が現在の公開資料インターフェースの製品フォームと一致する。

利用前の注意点

メインプロンプトは最大800文字、ネガティブプロンプトは最大500文字です。超過した入力はクレジット消費前に拒否されます。
互いに矛盾する指示は制御性を下げるため、本番タスクの前に短いサンプルで確認してください。
処理する権利のある素材だけを使い、公開前にコンテンツの安全性、人物の同一性、ブランド要素を確認してください。
出力の画質、動き、構図、音声、フィルタリング、コールバック、リンクの有効期限は実際の入力と現在の公開資料の状態に左右されます。4つの料金は送信前の表示とタスク記録を基準にしてください。

設定できる項目

このモデルが用途や業務に合うかをすばやく判断できます。

出力解像度
任意
パラメータ型: 選択
デフォルト：720p
720p
1080p
動画の長さ
任意
パラメータ型: 選択
デフォルト：5秒
5秒
10秒
テキスト生成のアスペクト比
テキスト生成のみ
パラメータ型: 選択
デフォルト：16:9
16:9
9:16
1:1
プロンプト拡張
任意
パラメータ型: 選択
デフォルト：オフ
オフ
オン
ランダムシード
任意
パラメータ型: 数値
範囲 0～2147483647
ネガティブプロンプト
任意
パラメータ型: テキスト

クレジット消費

60/100/120/200クレジット／回

Kyeoでは解像度と長さに応じて正確に課金します。720p・5秒は60クレジット、720p・10秒は120クレジット、1080p・5秒は100クレジット、1080p・10秒は200クレジットです。デフォルトは720p・5秒の60クレジットです。

クレジットを節約するコツ

画像や動画を一括生成する前に、同じ素材を使って現在のモデルと同タイプの候補をA/Bテストし、結果を確認してから一括生成することをおすすめします。

よくある質問

同タイプのおすすめモデル

まだ決まっていない場合は、同タイプの候補も比較してみましょう。

Wan 2.6

メディアなしはテキストから動画、画像ちょうど1枚は画像から動画、動画1～3本は動画編集を選択します。画像と動画は混在できません。 既定値は1080p、5秒、ショット構成オフ、コンテンツフィルターオンです。

AI動画モデル
70～315クレジット / リクエスト
詳細を見る今すぐ使う

Wan 2.7 Video

Wan 2.7は、テキストから動画、開始または開始・終了フレームを使う画像から動画、動画編集を備えたAI動画モデルです。720pと1080pを選べるため、素材、尺、画面比率、見積もりクレジットを一緒に比べます。

AI動画モデル
720pは秒あたり16クレジット、1080pは秒あたり24クレジット
詳細を見る今すぐ使う

Wan 2.2 A14B Turbo

Wan 2.2 A14B TurboはKyeoで1つだけのワークフローではありません。素材がなければテキスト生成、画像を1枚アップロードすると画像生成、画像1枚と音声1本をそろえると音声駆動に切り替わります。3つのワークフローで解像度、クレジット、表示されるパラメーターが異なるため、先に素材の組み合わせを確認してください。

AI動画モデル
標準40／80；音声は毎秒12／18／24
詳細を見る今すぐ使う

情報源

開発元の資料、モデルファミリーの説明、Kyeo AIの現在の接続設定をもとにまとめています。

情報源について

Kyeo AIのWan 2.5 Videoで使えるテキスト生成と画像1枚からの動画生成、5／10秒、720p／1080p、プロンプトの違い、60～200クレジットの料金を確認できます。 Kyeoでは解像度と長さに応じて正確に課金します。720p・5秒は60クレジット、720p・10秒は120クレジット、1080p・5秒は100クレジット、1080p・10秒は200クレジットです。デフォルトは720p・5秒の60クレジットです。

最終更新: 2026-08-27
Alibaba Cloud Model Studio：Wan動画モデル概要
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