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Tencent Cloud WAND

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Tencent Cloud WAND is Tencent Cloud's brand for AI capabilities used in audio and video services. Its WAND-Vega family includes image and video generation, multimodal understanding and audio processing. The generation services are available through TokenHub APIs with named model tiers and asynchronous tasks.[1][2][3]

Product scope

WAND combines specialist and general-purpose models with processing software. Its service interfaces include Media Processing Service (MPS), Video on Demand (VOD), Cloud Streaming Services (CSS) and TokenHub.[1]

FamilyFunction described by Tencent Cloud
WAND-Vega-VideoVideo generation from text, frames or reference media
WAND-Vega-ImageImage generation from text and reference images
WAND-Vega-VLMultimodal understanding, including video summaries, product classification and embodied-AI data labeling
WAND-Vega-AudioSpeech recognition, dubbing, subtitle translation, voice separation and audio restoration
WAND-Codec+Semantic analysis to guide encoding, bitrate allocation and compression
WAND-Enhance+Diffusion Transformer image reconstruction, super-resolution, frame interpolation and artifact reduction
WAND-EraseVibe+Generative removal and reconstruction of obscured image regions

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These functions can form pipelines. Tencent's sports-broadcast example combines visual analysis, spoken commentary, highlights, reframing, subtitles and encoding. AIGC Studio also combines model integrations with prompt processing, output repair and retries. Such workflows involve multiple components.[1]

Video generation API

The international guide lists WAND-Vega-Video-1.0-Lite, API identifier wand-vega-video-1.0-lite, for text-to-video, first/last-frame and reference-based generation.[2]

SettingDocumented value
DurationInteger from 4 to 15 seconds; default 5
Resolution768P, 1080P, 2K, 4K
Reference mediaImage, video and audio URLs
PromptAt least one text element is required

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Requests use bearer authentication and require TokenHub activation and the corresponding model's postpaid billing. Under https://tokenhub-intl.tencentcloudmaas.com, clients submit POST /v1/wand/vega-videos/tasks and poll GET /v1/wand/vega-videos/tasks/{id}. Submission returns HTTP 201, an id and queued. Subsequent states include running, succeeded and failed; successful results appear in content.video_url.[2]

First/last-frame inputs allow at most one image per role. For reference generation, the guide recommends at most nine images, three videos and three audio clips, with twelve assets total. Base64 inline media is unsupported. Generated video URLs expire after twelve hours. Each submission creates a new task: the endpoint has no request-level idempotency, so retry handling must prevent duplicate generation and charges. Queue timeouts can return TaskTimeout.[2]

Image generation API

WAND-Vega-Image supports text-to-image and reference-image generation. Its documented tiers use the identifiers wand-vega-image-lite, wand-vega-image-flash and wand-vega-image-pro.[3]

SettingDocumented value
Prompt limit2,000 characters
Resolution tiers1K, 2K and 4K, with preset dimensions by aspect ratio
Reference-image countUp to three for Lite; up to six for Flash and Pro
Reference-image formatPNG or JPEG; maximum 10 MB

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Clients submit POST /v1/wand/vega-images/generations on the same international host and receive a task_id. They poll GET /v1/wand/vega-images/tasks/{task_id}; the guide recommends intervals of three to five seconds. Successful image tasks use completed, and image URLs appear in data[].url. Other states include queued, in_progress, failed, cancelled and incomplete.[3]

These image-task fields differ from the video endpoint's id, succeeded and content.video_url. Image download URLs are temporary signed addresses that should be saved promptly; the image guide does not specify the video's twelve-hour lifetime for them.[2][3]

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Topics:AI Tools & ProductsImage GenerationMultimodal AIVideo Generation

References

  1. ^1 ^2 ^3Tencent Cloud. WAND product overview. Chinese-language product and workflow descriptions. Accessed November 4, 2026.
  2. ^1 ^2 ^3 ^4 ^5Tencent Cloud. WAND Video Generation API Guide. Updated October 16, 2026. Accessed November 4, 2026.
  3. ^1 ^2 ^3 ^4Tencent Cloud. WAND Image Generation API Guide. Updated September 16, 2026. Accessed November 4, 2026.

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Cite this page: AI Wiki. "Tencent Cloud WAND." aiwiki.ai, updated 4 Nov 2026. CC BY 4.0. https://aiwiki.ai/wiki/tencent_wand

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