Alibaba: Wan 2.7
alibaba/wan-2.7WAN 2.7 Text-to-Video turns plain prompts into coherent, cinematic clips with crisp detail, stable motion, and strong instruction-following—great for ads, explainers, and social posts. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
alibaba/wan-2.7/text-to-video
来源检查时间: 2026-09-13 · 供应商端点记录,不代表独立效果评测。
以下是来源观察记录,不能直接相互替代。Token、计算耗时、输出时长与按次价格不能仅比较数值;输入和可选功能可能另行计费。
| 来源标价 | 计费单位 | 条件 | 依据 |
|---|---|---|---|
| 0.5000 USD | source-listed starting price | Displayed catalog starting price only. Final charge depends on duration, resolution, outputs and references. Not a fixed per-second or per-image quote. | 公开结构化来源 |
| category | text-to-video |
|---|
未列出的参数、地区可用性、最低充值、税费和商用条款仍待核实,购买前请核对精确端点。
Fast、Pro、编辑和音频版本保持独立。比较费用前,请确认版本与配置一致。
来源目录中的端点和计价条件。不同端点不等于不同基础模型;账号报价不参与最低价排名。
以下是已采集接口数,不等于独立模型数,也不代表平台已全部采完。价格依据包含数值和来源计价说明。尚无已发布接口的平台仍待采集。
25 个端点 · 1/2
不同规格单独列出。打开模型查看计费单位与适用条件。
alibaba/wan-2.7Wan 2.7 is a video generation model from Alibaba. It supports text-to-video, image-to-video with first and last frame control, and reference-to-video, where multiple reference images guide the style a
alibaba/wan-2.7/image-to-videoWAN 2.7 converts images into videos (720p/1080p) with optional audio, supporting first and last frame control. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
alibaba/wan-2.7/image-to-video-proWan 2.7 Image to Video Pro is a fast AI image-to-video generation model that converts images into premium-quality videos with superior motion dynamics, enhanced visual fidelity, and professional cinem
alibaba/wan-2.7/image-to-video-spicyWan 2.7 Spicy Image to Video is a fast AI image-to-video generation model that converts images into high-quality videos with smooth animations optimized for scalable content generation. Ready-to-use R
alibaba/wan-2.7/reference-to-videoWAN 2.7 Reference-to-Video turns character, prop, or scene references from images or videos into new video shots with preserved identity, style, and layout plus smooth, coherent motion. Ready-to-use R
alibaba/wan-2.7/text-to-videoWAN 2.7 Text-to-Video turns plain prompts into coherent, cinematic clips with crisp detail, stable motion, and strong instruction-following—great for ads, explainers, and social posts. Ready-to-use RE
alibaba/wan-2.7/video-editWAN 2.7 Video Edit performs prompt-driven video editing with multi-image reference support, supporting 720p/1080p output. Ready-to-use REST inference API, best performance, no coldstarts, affordable p
alibaba/wan-2.7/video-extendWAN 2.7 Video Extend extends existing videos with optional last frame control and audio support, supporting 720p/1080p output. Ready-to-use REST inference API, best performance, no cold starts, afford
fal-ai/wan/v2.7/reference-to-videoWan 2.7 is the latest generation AI video model, delivering enhanced motion smoothness, superior scene fidelity, and greater visual coherence.
wan 2.7 video, videoedit, 1080pwan 2.7 video, videoedit, 1080p
wan 2.7 video, videoedit, 720pwan 2.7 video, videoedit, 720p
wan 2.7 video, r2v, 1080pwan 2.7 video, r2v, 1080p
wan 2.7 video, r2v, 720pwan 2.7 video, r2v, 720p
wan 2.7 video, image-to-video, 1080pwan 2.7 video, image-to-video, 1080p
wan 2.7 video, image-to-video, 720pwan 2.7 video, image-to-video, 720p
wan 2.7 video, text-to-video, 1080pwan 2.7 video, text-to-video, 1080p
wan 2.7 video, text-to-video, 720pwan 2.7 video, text-to-video, 720p
wan-video/wan-2.7-i2vGenerate videos from images, with support for first-and-last-frame control, clip continuation, and audio synchronization using Alibaba's Wan 2.7 model
wan-video/wan-2.7-r2vGenerate videos from reference images or clips while preserving subject identity using Alibaba's Wan 2.7 reference-to-video model
wan-video/wan-2.7-t2vGenerate videos with audio from text prompts using Alibaba's Wan 2.7 model. 1080p, up to 15 seconds, with audio synchronization.
wan-video/wan-2.7-videoeditEdit videos with natural language instructions using Alibaba's Wan 2.7 VideoEdit model
wan2.7wan2.7 · per_second
alibaba:wan@2.7Wan2.7
wan2.7-r2vwan2.7-r2v · per_second