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AI 视频模型
Alibaba
Wan 2.5

Wan 2.5 Video

了解 Wan 2.5 Video 在 Kyeo AI 的文生与单图视频流程、5/10 秒、720p/1080p、提示词差异和 60–200 点计费。 Kyeo 按分辨率和时长精确计费:720p 5 秒 60 点、720p 10 秒 120 点、1080p 5 秒 100 点、1080p 10 秒 200 点;默认 720p 5 秒为 60 点。Wan 2.5 的 60/100/120/200 点如何计算? — 了解 Wan 2.5 Video 在 Kyeo AI 的文生与单图视频流程、5/10 秒、720p/1080p、提示词差异和 60–200 点计费。

任务路由
文生视频或单图生视频
当前点数
60/100/120/200 点
输出档位
720p/1080p;5/10 秒
`prompt` / `safety`
主提示词最多 800 个字符,负面提示词最多 500 个字符;安全检查随任务启用。
快速了解
  • Wan 2.5 的 60/100/120/200 点如何计算? — 了解 Wan 2.5 Video 在 Kyeo AI 的文生与单图视频流程、5/10 秒、720p/1080p、提示词差异和 60–200 点计费。
  • 720p 5/10 秒为 60/120 点,1080p 5/10 秒为 100/200 点
  • 图生图片在 Kyeo 为单张 JPG/PNG/WebP、最大 10 MB
  • 提交前会核对主提示词最多 800 个字符、负面提示词最多 500 个字符,并启用安全检查。

相关查询: Wan 2.5 Video 如何使用? · Wan 2.5 文生和图生使用哪条路由? · Wan 2.5 的 60/100/120/200 点如何计算?

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.

一句话了解

这个模型怎么样?

图生最多 1 张 JPG/PNG/WebP,10 MB — 主提示词最多 800 字符;负面提示词最多 500 字符. 适合用同一提示词分别测试文字起稿与单张首帧起稿,并在四个计费档中逐级验证;不适合视频输入、首尾帧控制、15 秒输出或时间线编辑。

模型定位
这是一个双工作流短视频入口,而不是通用视频编辑器。Alibaba Cloud 的 Wan 2.5 直连预览模型可确认家族身份和 5/10 秒背景,但当前公开资料接口工作流的字段和 Kyeo 点数必须单独理解。
适合谁用
适合用同一提示词分别测试文字起稿与单张首帧起稿,并在四个计费档中逐级验证;不适合视频输入、首尾帧控制、15 秒输出或时间线编辑。
本站使用说明
Kyeo 按图片是否存在切换两条工作流,并在提交前统一校验文本长度、参数、素材数量和对应积分。

关键参数一览

根据这些信息,判断模型是否适合你的任务。

模型类别
AI 视频模型
厂商
Alibaba
模型家族
Wan 2.5
接入方式
当前站内接入
任务路由
Wan 2.5 — 异步任务
当前点数
Wan 2.5 — 异步任务
Kyeo 计费
720p 5/10 秒为 60/120 点;1080p 5/10 秒为 100/200 点
图生素材
单张 JPG/PNG/WebP;Kyeo 与当前公开资料接口表单均限制 10 MB

它还叫什么

同一个模型在公开资料中可能有不同名称,这里整理相关称呼,方便查找和比较。

Wan 2.5 — Wan 2.5 prompt expansion 有什么作用?

用户常见问题

从任务、输入条件和结果要求出发,整理选择模型时需要确认的问题。

Wan 2.5 Video 如何使用?
Wan 2.5 文生和图生使用哪条路由?
Wan 2.5 的 60/100/120/200 点如何计算?
Wan 2.5 支持哪些分辨率和时长?
Wan 2.5 图生接受什么图片?
Wan 2.5 提示词上限是多少?
Wan 2.5 负面提示词上限是多少?
Wan 2.5 prompt expansion 有什么作用?
Wan 2.5 与 Wan 2.6 如何选择?

选型指南

根据输入素材、任务要求和积分成本,逐项确认模型是否适合。

1
先选入口

没有可用首帧时用文生;需要固定构图起点时上传一张图片走图生。

2
先跑最低档

先用 720p 5 秒的 60 点档确认请求、主体与镜头方向,再决定是否增加时长或分辨率;更高点数不代表质量必然提升。

3
提交前核对文本与安全开关

提交前将主提示词控制在 800 个字符内、负面提示词控制在 500 个字符内;超出限制会在扣点前拒绝,安全检查会随任务启用。

模型对比

把常见候选放在同一任务下比较,帮助你确认输入方式、控制项和成本差异。

Wan 2.5 Video 与 Wan 2.6 的输入范围有何不同?
Wan 2.5 Video vs Wan 2.6:时长与点数
Wan 2.5 Video 与 Wan 2.7 Video 的路由有何不同?
Wan 2.5 Video vs Wan 2.7 Video:控制项
Wan 2.5 Video 与 Wan 2.2 A14B Turbo 的素材有何不同?
Wan 2.5 Video vs Wan 2.2 A14B Turbo:分辨率与点数

模型横向对比表

按同一组维度比较当前模型和候选模型的输入、设置与使用边界。

任务范围
Wan 2.5 Video
文字或单图生成视频
Wan 2.6
文字、单图或单视频输入
Wan 2.7 Video
文字、图片或视频路由
时长与分辨率
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
当前点数
Wan 2.5 Video
60/100/120/200 点
Wan 2.6
70-315 点
Wan 2.2 A14B Turbo
8-24 点
可见控制
Wan 2.5 Video
`resolution`; `duration`; `enable_prompt_expansion`; `seed`; `negative_prompt`
Wan 2.6
主要为分辨率与时长
Wan 2.7 Video
按工作流提供首尾帧、续写、水印或音频等控制
当前契约风险
Wan 2.5 Video
输入与安全边界:主提示词最多 800 个字符,负面提示词最多 500 个字符;安全检查始终启用。
Wan 2.6
另有未发送的当前公开资料接口控制项,需独立核对
Wan 2.2 A14B Turbo
提供文字、单图,以及单图加音频/语音输入模式

适用情况

依据公开资料与当前站内设置,说明模型适用的任务及需要注意的限制。

同名代际可以有不同渠道契约

Kyeo 已按现行当前公开资料接口表单把主提示词限制为 800 字符;Alibaba Cloud 直连预览版的字段仍不能直接套用。

输入边界已在提交前统一

提交前会统一校验输入:主提示词最多 800 个字符,负面提示词最多 500 个字符,超出限制会在扣点前拒绝;安全检查随任务启用。

能力详解

按素材动态切换工作流

Kyeo 根据是否上传图片选择文字或图片工作流。两路共享分辨率、时长、扩写、seed 和负面提示词,宽高比只用于文生。

可重复的四档计费测试

720p/1080p 与 5/10 秒对应 60、100、120、200 积分,提交前可直接查看预计点数。

安全字段的真实状态

安全检查随任务启用。请只使用有权处理的素材,并在发布前检查内容安全、人物身份和品牌元素。

适合做什么

文字镜头草案

以主体、动作、场景和镜头组成短提示词,从 720p 5 秒开始验证生成方向。

单图动态化测试

上传一张权利清晰且构图安全的 JPG、PNG 或 WebP,保持提示词简短,检查首帧约束如何影响结果。

参数同题基准

固定提示词、素材与 seed,仅切换扩写、时长或分辨率,并分别记录成功、耗时、点数和可用性。

提示词技巧

先写单一镜头

把主体、动作、环境和镜头方向写清楚,避免在 5/10 秒任务中塞入多个未经验证的转场要求。

负面提示词只列具体排除项

优先写不希望出现的对象、伪影或构图问题;两条路径都请把负面提示词控制在当前接口列出的 500 字符内。

扩写开关要做成对测试

同一提示词分别关闭和开启扩写,检查当前公开资料接口补充内容是否帮助画面,或是否偏离严格的主体与品牌约束。

为什么选它

文字与单图两条路由在一个入口中明确切换。
四个分辨率与时长组合都有清晰的对应积分。
扩写、seed 与负面提示词支持可重复的参数比较。
本地单图上传格式和 10 MB 上限与当前公开资料接口产品表单一致。

使用前要知道

主提示词最多 800 个字符,负面提示词最多 500 个字符;超出会在扣点前拒绝。
相互冲突的描述仍会降低可控性,正式任务前建议先用短样片验证。
请只使用有权处理的素材,并在发布前检查内容安全、人物身份和品牌元素。
输出画质、动作、构图、声音、过滤、回调与链接期限会受实际输入和当前公开资料状态影响;四档费用以提交前显示和任务记录为准。

可调参数

根据这些信息,判断模型是否适合你的任务。

输出分辨率
可选
参数类型: select
默认值:720p
720p
1080p
视频时长
可选
参数类型: select
默认值:5 秒
5 秒
10 秒
文生宽高比
仅文生
参数类型: select
默认值:16:9
16:9
9:16
1:1
提示词扩写
可选
参数类型: select
默认值:关闭
关闭
开启
随机种子
可选
参数类型: number
范围 0 - 2147483647
负面提示词
可选
参数类型: text

积分消耗

每次 60/100/120/200 点

Kyeo 按分辨率和时长精确计费:720p 5 秒 60 点、720p 10 秒 120 点、1080p 5 秒 100 点、1080p 10 秒 200 点;默认 720p 5 秒为 60 点。

使用建议

准备多次生成时,建议先用少量素材测试,核对输入设置和结果是否适合任务,再决定是否继续。每次生成均按工作台显示的计费规则扣点。

常见问题

相关模型

按你的任务比较这些模型的输入要求、功能和当前状态,再查看对应详情。

Wan 2.6

不附媒体时使用文字生成视频,恰好 1 张图片时使用图片生成视频,1–3 个视频时使用视频编辑;图片与视频不能混用。 默认为 1080p、5 秒、镜头结构关闭、内容过滤开启。

AI 视频模型
70–315 积分 / 次

Wan 2.7 Video

Wan 2.7 提供文生视频、首帧或首尾帧图生视频,以及已有视频的编辑请求。当前可选 720p 与 1080p 档位;先按素材选择方式,再核对时长、可用参数和预扣积分。

AI 视频模型
每秒预扣:720p 16 积分;1080p 24 积分

Wan 2.2 A14B Turbo

Wan 2.2 A14B Turbo 在 Kyeo 中不是单一工作流:无素材使用文字生成,上传一张图片改走图片生成,同时提供一张图片和一段音频才进入语音驱动。三条工作流的分辨率、点数和可见参数不同,选择前应先确认素材组合。

AI 视频模型
标准 40/80;语音 12/18/24 每秒

信息来源

页面内容依据公开模型资料与 Kyeo AI 的模型信息整理。能否在线使用,请以当前模型状态为准。

来源说明

了解 Wan 2.5 Video 在 Kyeo AI 的文生与单图视频流程、5/10 秒、720p/1080p、提示词差异和 60–200 点计费。 Kyeo 按分辨率和时长精确计费:720p 5 秒 60 点、720p 10 秒 120 点、1080p 5 秒 100 点、1080p 10 秒 200 点;默认 720p 5 秒为 60 点。

内容复核日期: 2026-08-27
Alibaba Cloud Model Studio:Wan 视频模型总览
官方
查看原始来源