跳至主要內容
AI 影片模型
Alibaba
Wan 2.5

Wan 2.5 Video

瞭解 Wan 2.5 Video 在 Kyeo AI 的文字與單圖影片流程、5/10 秒、720p/1080p、提示詞差異及 60–200 點數計費。 Kyeo 依解析度與長度精確計費:720p 5 秒 60 點數、720p 10 秒 120 點數、1080p 5 秒 100 點數、1080p 10 秒 200 點數;預設 720p 5 秒為 60 點數。Wan 2.5 的 60/100/120/200 點數如何計算? — 瞭解 Wan 2.5 Video 在 Kyeo AI 的文字與單圖影片流程、5/10 秒、720p/1080p、提示詞差異及 60–200 點數計費。

任務路由
文字生成影片或單圖生成影片
目前點數
60/100/120/200 點數
輸出級距
720p/1080p;5/10 秒
`prompt` / `safety`
主提示詞最多 800 個字元,負面提示詞最多 500 個字元;安全檢查會隨任務啟用。
30 秒快速瞭解
  • Wan 2.5 的 60/100/120/200 點數如何計算? — 瞭解 Wan 2.5 Video 在 Kyeo AI 的文字與單圖影片流程、5/10 秒、720p/1080p、提示詞差異及 60–200 點數計費。
  • 720p 5/10 秒為 60/120 點數,1080p 5/10 秒為 100/200 點數
  • Kyeo 圖片模式接受單張 JPG/PNG/WebP,最大 10 MB
  • 送出前會檢查主提示詞最多 800 個字元、負面提示詞最多 500 個字元,並啟用安全檢查。

熱門搜尋: 如何使用 Wan 2.5 Video? · Wan 2.5 文字與圖片模式使用哪條路由? · Wan 2.5 的 60/100/120/200 點數如何計算?

示例

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.

一句話瞭解

這個模型表現如何?

圖片模式最多 1 張 JPG/PNG/WebP,10 MB — 主提示詞最多 800 個字元;負面提示詞最多 500 個字元. 適合使用相同提示詞分別測試文字起稿與單張首幀起稿,再依四個計費級距逐步驗證;不適合影片輸入、首尾幀控制、15 秒輸出或時間軸編輯。

它擅長什麼
這是一個雙工作流程短影片入口,不是通用影片編輯器。Alibaba Cloud 的 Wan 2.5 直連預覽模型可確認系列身分與 5/10 秒背景,但目前公開資料介面工作流程欄位及 Kyeo 點數必須分開理解。
適合哪些使用者
適合使用相同提示詞分別測試文字起稿與單張首幀起稿,再依四個計費級距逐步驗證;不適合影片輸入、首尾幀控制、15 秒輸出或時間軸編輯。
為什麼要在 Kyeo AI 使用
Kyeo AI 將 Wan 2.5 的可用設定、點數消耗與結果操作放在一起,方便比較方案並立即開始創作。

關鍵參數總覽

協助你快速評估此模型是否符合你的業務情境。

模型類別
AI 影片模型
廠商
Alibaba
模型家族
Wan 2.5
串接方式
目前站內串接
任務路由
Wan 2.5 — 非同步任務
目前點數
Wan 2.5 — 非同步任務
Kyeo 點數
720p 5/10 秒為 60/120 點數;1080p 5/10 秒為 100/200 點數
圖片素材
單張 JPG/PNG/WebP;Kyeo 與目前公開資料介面表單均限制 10 MB

其他名稱

同一個模型在官方文件、社群討論與 API 串接層可能有不同稱呼,這裡幫你統一整理。

Wan 2.5 — Wan 2.5 prompt expansion 有什麼作用?

使用者常見問題

從實際任務、輸入條件和結果要求出發,整理選擇模型時最需要確認的問題。

如何使用 Wan 2.5 Video?
Wan 2.5 文字與圖片模式使用哪條路由?
Wan 2.5 的 60/100/120/200 點數如何計算?
Wan 2.5 支援哪些解析度與長度?
Wan 2.5 圖片模式接受哪些圖片?
Wan 2.5 提示詞上限是多少?
Wan 2.5 負面提示詞上限是多少?
Wan 2.5 prompt expansion 有什麼作用?
Wan 2.5 與 Wan 2.6 應如何選擇?

選擇指南

還在猶豫該用哪個模型嗎?先查看這幾個關鍵決策點。

1
先選擇輸入路由

沒有可用首幀時使用文字模式;需要固定構圖起點時上傳一張圖片,改用圖片模式。

2
先執行最低級距

先以 720p 5 秒的 60 點數級距確認請求、主體與鏡頭方向,再決定是否增加時長或解析度;較高點數不代表品質必然提升。

3
送出前控制欄位長度

送出前將主提示詞控制在 800 個字元內、負面提示詞控制在 500 個字元內;超出限制會在扣點前拒絕,安全檢查會隨任務啟用。

使用者常搜尋的比較

把常見候選放在同一任務下比較,協助你確認輸入方式、控制項和成本差異。

Wan 2.5 Video 與 Wan 2.6 的輸入範圍有何不同?
Wan 2.5 Video vs Wan 2.6:時長與點數
Wan 2.5 Video 與 Wan 2.7 Video 的路由有何不同?
Wan 2.5 Video vs Wan 2.7 Video:控制項
Wan 2.5 Video 與 Wan 2.2 A14B Turbo 的素材有何不同?
Wan 2.5 Video vs Wan 2.2 A14B Turbo:解析度與點數

模型比較表

還在猶豫該選哪一個嗎?這張表協助你快速看清目前模型與替代方案的核心差異。

任務範圍
Wan 2.5 Video
以文字或單張圖片生成影片
Wan 2.6
文字、單張圖片或單一影片輸入
Wan 2.7 Video
文字、圖片或影片路由
長度與解析度
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
目前點數
Wan 2.5 Video
60/100/120/200 點數
Wan 2.6
70-315 點數
Wan 2.2 A14B Turbo
8-24 點數
可見控制項
Wan 2.5 Video
`resolution`; `duration`; `enable_prompt_expansion`; `seed`; `negative_prompt`
Wan 2.6
主要為解析度與長度
Wan 2.7 Video
依工作流程提供首尾幀、延伸、浮水印或音訊等控制
目前契約風險
Wan 2.5 Video
輸入與安全邊界:主提示詞最多 800 個字元,負面提示詞最多 500 個字元;安全檢查固定啟用。
Wan 2.6
另有未送出的目前公開資料介面控制項,需獨立核對
Wan 2.2 A14B Turbo
提供文字、圖片和影片輸入模式

實際使用體驗

結合公開資料、目前站內邊界和典型任務,說明模型適合與不適合的情況。

同名世代可能有不同渠道契約

Kyeo 已依目前目前公開資料介面表單把主提示詞限制為 800 個字元;Alibaba Cloud 直連預覽版的欄位仍不能直接套用。

目前風險來自輸入契約,而非行銷能力

送出前會統一驗證輸入:主提示詞最多 800 個字元,負面提示詞最多 500 個字元;超出限制會在扣點前拒絕,安全檢查則隨任務啟用。

功能詳解

依素材動態切換工作流程

Kyeo 依是否上傳圖片選擇文字或圖片工作流程。兩路共用解析度、長度、擴寫、seed 與負面提示詞,長寬比只用於文字模式。

可重複的四檔計費測試

720p/1080p 與 5/10 秒對應 60、100、120、200 點數,送出前可直接查看預估點數。

安全欄位的實際狀態

安全檢查會隨任務啟用。請只使用有權處理的素材,並在發布前檢查內容安全、人物身分和品牌元素。

適合做什麼

文字鏡頭草稿

以主體、動作、場景和鏡頭組成精簡提示詞,先從 720p 5 秒開始驗證生成方向。

單圖動態化測試

上傳一張權利清楚且構圖安全的 JPG、PNG 或 WebP,保持提示詞聚焦,檢查首幀約束如何影響結果。

參數同題基準

固定提示詞、素材與 seed,只切換擴寫、時長或解析度,並分別記錄成功、耗時、點數與可用性。

提示詞技巧

先描述單一鏡頭

清楚寫出主體、動作、環境和鏡頭方向,避免在 5/10 秒任務中塞入多個未經驗證的轉場要求。

負面提示詞只列具體排除項

優先寫不希望出現的物件、瑕疵或構圖問題;文字模式請把負面提示詞控制在目前公開資料介面表單列出的 500 個字元內。

成對測試提示詞擴寫

以相同提示詞分別關閉和開啟擴寫,檢查目前公開資料介面補充內容是否有助畫面,或偏離嚴格的主體與品牌限制。

選擇它的理由

文字與單圖兩條路由可在同一入口明確切換。
四個解析度與時長組合都有清楚的對應點數。
擴寫、seed 與負面提示詞支援可重複的參數比較。
站內單圖上傳格式與 10 MB 上限符合目前公開資料介面的產品表單。

使用前須知

主提示詞最多 800 個字元,負面提示詞最多 500 個字元;超出時會在扣點前拒絕。
過長或互相衝突的提示詞會降低可控性,正式任務前建議先用短樣片驗證。
請只使用有權處理的素材,並在發布前檢查內容安全、人物身分和品牌元素。
輸出畫質、動作、構圖、聲音、過濾、回呼與連結期限會受輸入和目前公開資料狀態影響;四檔費用以送出前顯示和完成後的任務紀錄為準。

可調整參數

協助你快速評估此模型是否符合你的業務情境。

輸出解析度
選填
參數類型: select
預設值:720p
720p
1080p
影片長度
選填
參數類型: select
預設值:5 秒
5 秒
10 秒
文字模式長寬比
僅文字模式
參數類型: select
預設值:16:9
16:9
9:16
1:1
提示詞擴寫
選填
參數類型: select
預設值:關閉
關閉
開啟
隨機種子
選填
參數類型: number
範圍 0 - 2147483647
負面提示詞
選填
參數類型: text

點數消耗

每次 60/100/120/200 點數

Kyeo 依解析度與長度精確計費:720p 5 秒 60 點數、720p 10 秒 120 點數、1080p 5 秒 100 點數、1080p 10 秒 200 點數;預設 720p 5 秒為 60 點數。

省點數小技巧

批次生成圖片或影片前,建議先用同一組素材,在目前模型與同類候選模型之間進行 A/B 測試;確認效果後再批次生成,避免浪費點數。

常見問題

同類模型推薦

還沒決定該用哪個嗎?順便比較一下這幾個同類候選模型。

Wan 2.6

不附媒體時使用文字生成影片,恰好 1 張圖片時使用圖片生成影片,1–3 個影片時使用影片編輯;圖片與影片不可混用。 預設為 1080p、5 秒、鏡頭結構關閉、內容過濾開啟。

AI 影片模型
70–315 點數/次

Wan 2.7 Video

Wan 2.7 是一款涵蓋文生影片、首幀或首尾幀圖生影片和影片編輯的 AI 影片模型。目前可選 720p 與 1080p;選型時應一併比較素材要求、時長、畫幅和預估點數。

AI 影片模型
720p 每秒 16 點;1080p 每秒 24 點

Wan 2.2 A14B Turbo

Wan 2.2 A14B Turbo 在 Kyeo 並非單一工作流程:沒有素材時使用文字生成,上傳一張圖片後改走圖片生成,同時提供一張圖片與一段音訊才會進入語音驅動。三條工作流程的解析度、點數與可見參數不同,選擇前應先確認素材組合。

AI 影片模型
標準 40/80;語音 12/18/24 每秒

資訊來源

頁面內容依據廠商資料、模型系列說明與 Kyeo AI 平台串接設定整理。

來源說明

瞭解 Wan 2.5 Video 在 Kyeo AI 的文字與單圖影片流程、5/10 秒、720p/1080p、提示詞差異及 60–200 點數計費。 Kyeo 依解析度與長度精確計費:720p 5 秒 60 點數、720p 10 秒 120 點數、1080p 5 秒 100 點數、1080p 10 秒 200 點數;預設 720p 5 秒為 60 點數。

最後更新: 2026-08-27
Alibaba Cloud Model Studio:Wan 影片模型總覽
官方
查看原始來源