wan2.6-i2vCompare wan2.6-i2v API pricing, supported endpoints, capabilities and access options on Modelsell.
BPE (vendor-specific)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Wan2.6 I2v
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万相 2.6 图生视频用输入图片确定开场,再按照文字生成主体动作、相机运动和场景变化。已有商品实拍、人物海报或概念图,都可以成为短片的起点,适合制作活动素材、产品展示和故事分镜。
这个版本提供声画协同与多镜头创作能力,可以把动作、运镜和声音放到同一个创意里考虑。商品短片可以先用特写展示质感,再转向更完整的场景;人物片段可以围绕一个简单动作展开,让环境声帮助建立情绪。每个镜头应有一个主要任务,避免同时安排过多主体、转场和复杂动作。
图生视频的提示词应重视“接下来发生什么”。例如保持人物外观,只让她抬头、微笑;保持商品位置,只让镜头靠近并让光线缓慢变化。与输入图冲突的描述可能让主体发生重绘,清晰首帧和明确保留要求更有帮助。
多镜头生成后,需要检查同一人物、服装和商品是否连贯,声音是否与动作对应。细小文字、快速遮挡、手部接触和不常见视角,容易成为需要重试的部分。先用简短片段确认动作与气氛,再增加镜头和声音层次,能更容易得到可剪辑的素材。
从输入图中的花店门口开始,保留店面颜色与花束摆放。第一个镜头缓慢推近门边的花束,花瓣被微风轻轻吹动;第二个镜头展示店员整理一束花的近景。清晨柔光,动作自然,声音是轻微风声与包装纸摩擦,不添加字幕。
先检查花束、店员手部与两段光线,再决定是否增加其他镜头。
多镜头怎样写更清楚? 按镜头分别交代主体、动作和机位,每段只保留少量事件。
为什么主体会偏离原图? 提示可能与原图冲突,或动作要求过大;先保留外观并减小变化幅度。
声音应该多复杂? 从一两种与画面对应的关键声音开始,后续再补充音乐和剪辑。
Use the linked documentation for model-specific request parameters and examples.
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Alibaba | Unlimited | Unlimited | Unlimited |
No restriction
Compare wan2.6-i2v API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to wan2.6-i2v, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.
