跳到主要内容
AI 视频模型
ByteDance
Seedance

Seedance 2.5

用 Seedance 2.5 规划较长镜头,先选择文字、首帧与首尾帧或多模态参考场景。请求时长可设为最长 30 秒;默认 5 秒,选择自动时长则按 30 秒预留预计积分。准备素材时,数量、单段时长与累计时长需分别核对。

生成场景
文字/首帧与首尾帧/多模态参考
分辨率设置
480p/720p/1080p
请求时长
4–30 秒/自动
预计预扣
102–5,700 积分
快速了解
  • 请求时长可选 4–30 秒整数,也可选自动
  • 参考数量最多 30 图、10 视频和 10 音频;时长还需单独核对
  • 参考视频总时长与预留请求时长共同影响预计预扣
  • 可选 MP4/MOV,并可请求返回最后一帧

相关查询: Seedance 2.5 怎么用 · Seedance 2.5 预计扣多少积分 · Seedance 2.5 自动时长如何预扣

示例

Cinematic scene

Cinematic 15 second commercial fashion promo shot on 35mm film with warm natural light and sub bass audio beat. Eye level static shot of a studio floor littered with scattered magazine pages and sleek minimalist clothing racks in the warm toned background. A stylish subject sits in a clean white modern chair at the central focal point. Every two seconds, rapid whip pan motion blur transitions cut between subjects seamlessly changing into distinct street fashion tracksuits: a dark gray ribbed tank top, an oversized purple and black panel jacket, a black and white hooded track jacket, a light blue zip up sweater, a soft pink contrast hoodie, and a vibrant yellow three stripe streetwear outfit. Natural human motion with fluid, subtle body rhythm and expressive hand gestures synchronized perfectly to an upbeat Afrobeat track with deep sub-bass and crisp percussion. Realistic skin textures, natural fabric folds, micro shadows, and organic camera sensor grain. No text or logos. Photorealistic depth of field, warm interior ambient lighting, cinematic color grading.

Cinematic scene

Concept: "Rainy Afternoon Errand" Create an authentic 15-second analogue home-video recording filmed with a handheld Hi8/VHS-C camcorder. The camcorder is never visible. The audience only sees the recorded footage, as if watching a digitized family videotape. This is not a vlog, commercial, or cinematic production—just a friend casually filming another friend during an ordinary day. Use authentic analogue camcorder aesthetics: soft SD resolution, subtle VHS tape grain, faint interlacing, analogue colour bleed, mild tracking imperfections, slight autofocus hunting, natural handheld shake, tiny framing errors, realistic motion blur, washed-out colours, and faint tape hiss. Avoid HDR, beauty filters, cinematic grading, perfect stabilization, or modern digital sharpness. A young Korean woman in her early twenties wears a fitted pastel crop top, mid-rise vintage blue denim shorts, white ankle socks, classic white sneakers, and a lightweight oversized windbreaker tied around her waist. She carries a small canvas shoulder bag, and her appearance reflects a nostalgic late-90s/early-2000s Korean street style without referencing any specific year. The scene takes place on a quiet residential street after a light summer rain. The pavement is still damp, small puddles reflect nearby buildings, bicycles are parked outside shops, neighbours walk by with umbrellas, and local cafés and convenience stores create a peaceful everyday atmosphere. The footage begins as she exits a small neighbourhood convenience store carrying a drink and a paper shopping bag. She pauses under the awning, looks up at the cloudy sky, and smiles as a light drizzle begins again. She playfully extends her hand to feel a few raindrops before noticing the unseen camera operator. She laughs, gives a friendly wave, briefly twirls once in the drizzle, then continues walking down the wet street. The camera follows naturally behind as reflections shimmer on the pavement and a city bus quietly passes in the background. The recording ends naturally as she disappears farther down the street. Generation Requirements Produce one continuous 15-second recording with no cuts or transitions. Maintain consistent identity, realistic anatomy, natural walking, authentic human expressions, believable interactions, and physically accurate rain effects. Include realistic ambient sounds such as soft rain, distant traffic, birds, footsteps on wet pavement, and neighbourhood ambience. Avoid AI artifacts, duplicated pedestrians, warped anatomy, floating objects, modern cinematic effects, or anything that reveals the footage as AI-generated. The final result should feel indistinguishable from a genuine nostalgic analogue home video recorded by a friend.

Cinematic scene

A cinematic lifestyle fashion video featuring a beautiful young Asian woman with long flowing dark hair. Opening shot uses an ultra-wide low-angle lens as she reaches her hand toward the camera under a dramatic blue sky with streaked clouds, creating a dynamic perspective effect. Smooth transition to an urban bus stop where she leans against a transit map wall, wearing silver headphones and a dark striped sweater, gazing thoughtfully into the lens. Final scene inside a minimalist modern café with abstract wall art, where she sits elegantly at a white table wearing a light green knit top and vibrant orange skirt. Soft natural daylight, shallow depth of field, smooth camera movements, realistic skin texture, subtle hair motion, emotional storytelling, clean aesthetic, commercial fashion photography style, cinematic color grading, bokeh background, ultra-realistic, 4K, high detail, luxury lifestyle advertisement, professional videography, smooth transitions, masterpiece quality.

Cinematic scene

Create a realistic fashion GRWM featuring a trendy Korean woman wearing a black fitted crop top, relaxed blue jeans, white sneakers, and a small crossbody bag. The video opens with her waving at the camera while sitting at her vanity. She does her makeup, curls her hair, picks her outfit from the wardrobe, wears sunglasses, packs essentials into her handbag, takes a mirror selfie, and leaves for a luxury shopping district filled with boutiques and cafés. Premium lifestyle commercial, cinematic camera movement, soft daylight, photorealistic, 4K.

Cinematic scene

Create a premium ultra-cinematic fashion film with flawless realism and seamless visual consistency. Duration: 15s Aspect Ratio: 16:9 Frame Rate: 24fps Lens: 85mm prime with extremely subtle handheld breathing motion. Use the attached storyboard image as the exact visual reference for the main character. Maintain identical face, hairstyle, hair length, hair texture, hair volume, skin tone, facial proportions, body proportions, and outfit throughout the entire video. Absolute character consistency. Never redesign the character. Style: Japanese airy film aesthetic blended with luxurious Indonesian nightlife. Kodak Portra 400 cinematic color science, fine film grain, soft bloom, warm neon glow, documentary-style realism. Color Palette: Deep crimson red, warm golden lights, black marble, champagne gold, luxury interiors, vibrant neon lighting, elegant city night, natural skin tones. Lighting: Soft cinematic lighting with a warm rim light. Environment: Foreground: Softly blurred chandeliers, cocktail glasses, luxury decorations, colorful neon bokeh. Midground: Premium rooftop lounge, luxury nightclub, elegant elevator lobby, stylish dance floor. Background: Jakarta skyline, skyscrapers, luxury cars, sparkling city lights. Atmosphere: Glamorous, fashionable, energetic, modern Indonesia. Main Character: • Exceptionally beautiful 20-year-old Indonesian woman • Tall and elegant • Fair glowing skin • Long black hair with soft natural waves • Natural glamorous makeup • Elegant fitted red cocktail dress • Black high heels • Small black clutch bag • Silver earrings • Minimal necklace • Maintain the identical hairstyle throughout the video SHOT 1 (0–2s) Luxury apartment. She adjusts her wavy hair, applies lip gloss, smiles confidently in the mirror under warm ambient lighting. SHOT 2 (2–4s) She sprays perfume, picks up her black clutch, and walks gracefully toward the door as the camera follows behind. SHOT 3 (4–6s) Luxury elevator opens. She walks through the elegant lobby. A luxury sedan waits outside. The valet opens the door. She enters as Jakarta's city lights glow. SHOT 4 (6–8s) She arrives at a premium rooftop lounge. Warm neon lighting. Guests socialize while the handheld camera follows beside her. SHOT 5 (8–10s) She meets close friends. They toast with colorful mocktails and laugh naturally in a classy atmosphere. SHOT 6 (10–12s) She casually dances with relaxed movements. Her long wavy hair flows naturally beneath elegant moving lights. SHOT 7 (12–14s) She steps onto the rooftop terrace. A gentle breeze moves her hair. She admires the Jakarta skyline before smiling warmly at the camera. SHOT 8 (14–15s) The camera slowly pulls back. She waves goodbye as the skyline sparkles. Natural fade to black. Audio: Luxury lounge ambience, soft crowd chatter, footsteps, elevator doors, mocktail glasses clinking, gentle background dance music, night breeze. No narration. No dialogue. Negative Prompt: No body deformation, facial distortion, plastic skin, excessive beauty filters, CGI appearance, hairstyle changes, outfit changes, character redesign, character inconsistency, hard cuts, white flash transitions, watermark, logo, or subtitles. Ultra-realistic documentary-style cinematography with perfect character consistency.

Cinematic scene

15-second vertical 16:9 fashion UGC GRWM video. Super casual real smartphone home-video footage of a young woman getting ready for a spontaneous weekend night out. The video feels like an authentic memory captured on her phone and later posted as a GRWM. Natural, imperfect, intimate, stylish, and believable. No commercial polish. MAIN SUBJECT Young Korean woman in her early 20s, natural everyday appearance, realistic skin texture, minimal makeup, warm expressive personality, long dark wavy hair with loose natural strands. She wears a fitted white ribbed tank top and relaxed low-rise blue jeans at the beginning of the video. Final outfit: oversized black leather jacket over a fitted white top, dark charcoal mini skirt, sheer black tights, black knee-high boots, small black shoulder bag, and minimal silver jewelry. Maintain identical facial identity, skin tone, body proportions, hairstyle, and appearance throughout the entire video. Clothing and accessories must remain physically consistent once introduced. LOCATION Small lived-in bedroom with a full-length mirror, unmade bed, clothing casually placed on a chair, open wardrobe, small vanity, cosmetics, jewelry tray, handbag, shoes, and warm apartment lighting. Soft blue evening light enters through the window while a warm bedside lamp illuminates the room. The environment should feel personal and naturally messy rather than staged. No studio environment. No luxury showroom. No commercial set. VISUAL STYLE Super casual real smartphone home video footage. Authentic social-media GRWM aesthetic. Realistic smartphone dynamic range, natural skin texture, imperfect exposure, subtle digital sharpening, ordinary indoor noise, realistic motion blur, believable shadows, and natural color reproduction. The footage should feel spontaneously recorded at home by a real person. No beauty filters. No cinematic color grading. No artificial film grain. No CGI appearance. No overly perfect skin. No fashion-commercial polish. CAMERA STYLE Super casual real smartphone home video footage captured by the creator herself. Slight authentic handheld shake, imperfect framing, occasional awkward camera positioning, small arm movements, natural walking bounce, subtle autofocus hunting, realistic exposure adaptation between window light and warm room lighting, slight smartphone sharpening, normal frame rate, natural motion blur, and occasional focus shifts. The phone is frequently repositioned between her hand, the bed, and the mirror. Use casual selfie footage, handheld rear-camera footage, mirror recording, close-up phone footage, and spontaneous room-level framing. Some compositions should be slightly off-center or imperfect. No professional stabilization. No gimbal. No cinematic tracking. No dramatic lens changes. No artificial depth of field. No polished fashion-film cinematography. PERFORMANCE Natural creator behavior. She is not acting like a model. She casually talks to the phone, makes small spontaneous reactions, checks her outfit, fixes her hair, laughs at herself, and moves naturally around the bedroom. Dialogue: “Get ready with me for tonight. I had no idea what to wear, but I think this might actually work.” Natural conversational delivery with realistic pauses, breathing, blinking, and accurate lip synchronization. ⸻ STORYBOARD 00:00–00:03 — “WHAT DO I WEAR?” Selfie-style handheld phone footage. She sits on the edge of her bed surrounded by two or three clothing options. She looks into the phone and says: “Get ready with me for tonight.” She quickly holds up a jacket toward the camera, makes an unsure expression, then looks toward the clothes on the bed. The framing is slightly crooked as she adjusts the phone in her hand. She laughs quietly. 00:03–00:06 — OUTFIT CHANGE Quick natural handheld transition. She is now wearing the white top, dark charcoal mini skirt, sheer black tights, and oversized black leather jacket. She stands in front of the full-length mirror while holding the phone. She pulls the jacket into position, looks at herself, then looks at the phone screen. She says: “I think this might actually work.” The camera briefly loses focus as she moves closer to the mirror before recovering naturally. 00:06–00:09 — ACCESSORIES Close handheld phone shot from the vanity. She picks up small silver earrings from the jewelry tray. Cut naturally to a mirror angle as she puts them on. She quickly runs her fingers through her hair, allowing loose strands to fall naturally around her face. She grabs the small black shoulder bag from the bed. Natural jewelry movement and realistic hand interaction. 00:09–00:12 — SHOES + FINAL CHECK Low casual phone angle. She sits on the edge of the bed and pulls on her black knee-high boots. The phone is slightly tilted, creating an imperfect home-video composition. She stands up, grabs her bag, and looks at herself in the mirror. She turns slightly from side to side to check the outfit. Natural fabric movement, realistic leather reflections, believable body mechanics. 00:12–00:15 — FINAL GRWM MOMENT Handheld mirror shot. She steps backward and gives the phone a quick full-outfit view. She adjusts the shoulder bag and lightly fixes her hair. She looks directly into the phone camera, smiles naturally, and says: “Okay… I’m actually obsessed.” She gives a small laugh, picks up her keys, and walks toward the bedroom door. The phone moves slightly with her hand. Recording ends naturally mid-motion. ⸻ AUDIO Authentic smartphone microphone recording. Natural bedroom ambience, subtle room tone, clothing movement, jewelry sounds, footsteps, bag movement, keys lightly jingling, and realistic household sounds. Her voice should sound naturally recorded in the room rather than professionally recorded. Very subtle background music may be present at low volume, similar to casual social-media GRWM content, but natural voice and room ambience remain dominant. No cinematic sound design. No exaggerated transitions. PHYSICAL REALISM Realistic human anatomy and hand proportions. Natural walking, sitting, standing, turning, and dressing movements. Correct hand-to-clothing interactions. Realistic leather jacket movement. Natural skirt and fabric folds. Realistic tights and boot interaction. Natural hair physics with individual strands moving during head movement. Realistic jewelry reflections and movement. Correct mirror reflections. No duplicated objects. No warped fingers. No impossible reflections. No floating clothing. No unnatural body mechanics. CONTINUITY LOCK Maintain the exact same woman throughout the entire video. Preserve facial identity, skin texture, hairstyle, body proportions, and natural appearance. Preserve the bedroom layout and lighting direction. Once the final outfit appears, maintain the exact same jacket, top, skirt, tights, boots, jewelry, and handbag. No spontaneous wardrobe changes. No changing accessories. No hairstyle changes. GENERATION REQUIREMENTS 15 seconds. 9:16 vertical. Super casual real smartphone home-video aesthetic. Authentic GRWM behavior. Realistic handheld phone movement. Natural imperfect framing. Realistic autofocus hunting. Natural exposure adaptation. Normal frame-rate motion. Accurate lip synchronization. Consistent identity. Consistent wardrobe. Realistic hair, fabric, leather.

一句话了解

这个模型怎么样?

首帧与首尾帧场景必须有首帧,尾帧可选,并与多模态参考互斥。参考场景可只给音频,提示词可留空。视频每段 2–30 秒,累计不超过 30 秒;音频每段 2–30 秒,累计不超过 30 秒。图片与视频的宽、高须为大于 300 且小于 6,000 的整数像素,宽高比大于 0.4 且小于 2.5,以上边界不包含端点;参考视频还需为 409,600–927,408 像素、24–60 FPS,这两项包含端点。提交前还会核对实际格式、尺寸、时长及素材身份。

模型定位
面向需要规划较长镜头,或用图片、动作视频与音频说明创作方向的任务。先按素材选择场景,再核对请求设置和预计积分。
适合谁用
可尝试分镜预演、参考视频编辑或最长 30 秒的镜头构思。也可选择请求返回末帧;当前是否能在结果中取得、预览或下载末帧,仍需另行确认。
本站使用说明
选择自动时长时,先按最大请求时长核对预计预扣;加入参考视频后,视频总时长也会计入。受理后预扣,成功后仍需核对实际用量并符合结算条件;未确认或待核时继续保留预扣。

关键参数一览

根据这些信息,判断模型是否适合你的任务。

参考图片
最多 30 张
参考视频
最多 10 段,累计不超过 30 秒
参考音频
最多 10 段,累计不超过 30 秒
输出格式
MP4/MOV

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。

Seedance 2.5 多模态
即梦 Seedance 2.5
Seedance 2.5 视频编辑

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。

Seedance 2.5 怎么用
Seedance 2.5 预计扣多少积分
Seedance 2.5 自动时长如何预扣
Seedance 2.5 参考素材有哪些限制
Seedance 2.5 请求时长怎么选

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
先比较片段长度与素材数量

Seedance 2.0 Mini 的请求最长 15 秒,参考数量为 9 图/3 视频/3 音频;MiniMax H3 的请求最长 15 秒,最多 9 图/3 视频/3 音频。需要更长请求或更多素材时,再比较 2.5 的设置;参考素材时长须另行核对。

2
自动时长先核对预计预扣

选择 -1 自动时长后,请求交由模型决定长度,本站按最大 30 秒预留预计积分。先确认可用余额是否满足这次设置,再提交任务。

3
逐项说明参考素材的用途

为角色图、动作视频和音频分别说明用途,去掉不需要或相互冲突的内容;素材数量不必用满,实际采用情况仍需生成后检查。

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。

怎样比较 Seedance 2.5 与 Seedance 2.0 Mini 的请求时长和参考素材数量?
分辨率、请求时长与素材相同时,怎样核对 Seedance 2.5 和 MiniMax H3 的预计预扣?

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。

请求时长与参考数量
Seedance 2.5
请求最长 30 秒;最多 30 图/10 视频/10 音频。视频累计不超过 30 秒,音频累计不超过 30 秒
Seedance 2.0 Mini
请求最长 15 秒;最多 9 图/3 视频/3 音频
MiniMax H3
请求最长 15 秒;最多 9 图/3 视频/3 音频,音频须同时搭配图片或视频
分辨率与预计预扣依据
Seedance 2.5
480p/720p/1080p;无参考视频时每请求秒分别为 28/63/158 积分;有参考视频时分别为 17/38/95 积分,计入参考视频总时长与预留请求时长
Seedance 2.0 Mini
最高 720p;480p/720p 无参考视频时每请求秒为 3.8/8.2 积分;有参考视频时为 2.4/5 积分,乘以参考视频总时长与请求时长之和
MiniMax H3
最高 2K;768P/2K 每秒分别为 8/13 积分,计入参考视频总时长与请求时长;参考图超过 5 张时,从第 6 张起每张另预扣 4 积分

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。

自动时长按上限核对预算

自动时长的预计预扣按最大请求时长计算,不能直接沿用默认短片段的金额。调整分辨率或参考视频后,再核对本次预计预扣。

参考视频时长也计入预计预扣

有参考视频时,通过检查的视频总时长会与预留请求时长相加。比较方案前先固定分辨率、请求时长和参考素材,再看预计预扣差异。

能力详解

最长 30 秒的请求设置

可选 4–30 秒整数或自动时长;成品的实测长度仍需检查。

图片、视频与音频参考

参考场景可组合图片、视频和音频,也允许只给音频。先核对格式、数量和时长,再说明各素材如何参与镜头。

格式选择与末帧请求

可选 MP4/MOV,并可请求返回最后一帧。实际返回内容和文件格式需生成后检查;当前是否能取得、预览或下载末帧,仍需另行确认。

适合做什么

分镜预演

用角色图与动作视频规划镜头先后,检查构图和动作结果后再调整;参考视频先按单段和累计时长要求准备。

参考视频编辑试作

提交符合要求的参考视频,用文字说明希望改变的画面与希望保留的内容,再检查结果是否符合创作方向。

为下一镜头准备参考

可请求返回末帧,但当前是否能在结果中取得、预览或下载,仍需另行确认。只有实际取得并检查构图后,才考虑用于下一段;还需检查两段的衔接效果。

提示词技巧

按时间段写动作

按先后顺序说明 30 秒请求范围内的主体、动作与镜头变化;内容较多时先标出重点,实际呈现仍需检查。

说明各类素材的分工

写清参考图中的主体、视频中的动作和音频中的氛围分别如何进入镜头,只提交有权使用且任务需要的素材。

自动时长仍有上限

按最长 30 秒的请求范围安排内容与预算;参考素材时长另按素材要求检查。

为什么选它

请求时长和参考素材数量可以分别核对,便于规划镜头。
参考场景可组合图片、视频与音频,也允许音频单独输入。
自动时长按最大请求时长显示预计预扣,便于提交前核对余额。
可明确选择输出格式,并决定是否请求末帧。

使用前要知道

当前最高分辨率设置为 1080p,成品细节与实测像素仍需检查。
自动时长按上限预留预计积分,可用余额要求可能高于较短的手动请求;参考素材还须分别满足单段与累计时长要求。
参考视频上传与提交每段不超过 95 MiB,还须符合格式、时长和画面尺寸等要求;图片、音频的上传容量另核。
内容检查开关不代表素材或结果已获安全、版权或商用许可;发布前仍需检查人物、标识及声音用途。

可调参数

根据这些信息,判断模型是否适合你的任务。

请求视频时长
可选
参数类型: 整数
默认:5 秒
-1 表示自动,或选择 4–30 秒整数
分辨率
可选
参数类型: 下拉选择
默认:720p
480p
720p
1080p
输出格式
可选
参数类型: 下拉选择
默认:MP4
MP4
MOV

积分消耗

预计预扣 102–5,700 积分

无参考视频时,480p/720p/1080p 分别按每请求秒 28/63/158 积分,乘以预留请求时长。有参考视频时,三档分别按每秒 17/38/95 积分,乘以通过检查的参考视频总时长与预留请求时长之和;保留小数参与合计,最后一次向上取整。自动时长按 30 秒预留;默认 720p、5 秒且无参考视频时,预计预扣 315 积分。符合要求的请求预计预扣 102–5,700 积分。本站受理任务后会预扣积分;任务成功后,仍需核对实际用量,确认符合条件后才结算。实际用量未确认、存在异常,或换算积分超过预扣而待核时,预扣继续保留。已受理任务失败后的退还状态与可用余额,请查看积分明细;积分原有效期及相关欠款处理也会影响实际可用余额。

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。

Seedance 2.0 Mini

先按素材选择文字、首尾帧或多模态参考场景,再填写提示文字、分辨率和请求时长。参考视频会影响预计预扣的计量时长与费率;提交前查看素材是否通过检查及当前预算,生成后再检查画面、声音与费用确认状态。

AI 视频模型
预计预扣 15–150 积分

MiniMax H3

MiniMax H3 可从文字、首尾帧或多模态参考开始,选择 768P 或 2K 及 4–15 秒请求时长。首尾帧场景允许只给首帧或尾帧;参考场景中的音频须搭配图片或视频。参考视频时长和第 6 张起的图片会影响预计预扣。

AI 视频模型
预计预扣 32–406 积分

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

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

本站参数说明涵盖 Seedance 2.5 的 480p/720p/1080p、4–30 秒请求设置或自动时长、最多 30 张图片、10 段视频和 10 段音频,以及 102–5,700 积分的预计预扣范围。无参考视频时,三档分别按每请求秒 28/63/158 积分估算;有参考视频时,分别按每秒 17/38/95 积分,乘以参考视频总时长与预留请求时长之和,合计后一次向上取整。自动时长按 30 秒预留。本站受理后预扣;成功后仍需核对实际用量,符合条件后才结算。未确认、异常或换算积分超过预扣而待核时,继续保留预扣。

内容复核日期: 2026-10-06
Seedance 2.5:本站工作台参数说明
平台

用于核对本站请求场景、可选设置、素材要求与预计预扣的依据。当前可用状态、实际返回结果和费用处理,请在工作台及任务明细中核对。