skywork/single-actor-avatar

文档
Schema

**[Core Function]** SkyReels Single-Actor Avatar (audio-to-video) drives a talking-avatar video from a single portrait image and one audio track. **[Strengths]** Lip-synced single-speaker talking-head video generated from an image plus audio. **[Best For]** Virtual presenters, single-speaker dubbing, and talking avatars. **[Limitations]** Do NOT use this for multi-speaker scenes (use the multi-actor flow) or when you only have text. It requires first_frame_image and exactly one audio segment (<=200s). mode=std outputs 720p, mode=pro outputs 1080p. **[Routing]** Provide a portrait first_frame_image and one audio URL in audios; choose mode=pro for 1080p output.

$0.0460~$0.0690/sec
image-to-video

输入

Text description of the video (max 512 tokens).
Exactly one audio URL (mp3/wav, each segment <=200s).
提示:可拖拽文件、从剪贴板粘贴(Ctrl/Cmd+V),或提供 URL。
Portrait image URL (jpg/jpeg/png/gif/bmp).
提示:可拖拽文件、从剪贴板粘贴(Ctrl/Cmd+V),或提供 URL。
Output mode: std returns 720p, pro returns 1080p.
std

结果

暂无结果

运行模型后,结果将在这里显示。

Next:

README

参数

参数名 描述 类型 必填 枚举值
prompt Text description of the video (max 512 tokens). string -
audios Exactly one audio URL (mp3/wav, each segment <=200s). string[] -
first_frame_image Portrait image URL (jpg/jpeg/png/gif/bmp). string -
mode Output mode: std returns 720p, pro returns 1080p. string std, pro

价格

单位: $/sec

维度 价格
mode: std 0.0460
mode: pro 0.0690

相关模型

  • openai/gpt-image-1.5: [Core Function] GPT Image 1.5 is a versatile text-to-image generation model. [Strengths] It balances solid visual performance with crucial utility features, notably its native support for generating images with transparent backgrounds. [Best For] Highly recommended for: creating UI icons, standalone logos, game assets, and any graphic design elements that require a transparent background. [Limitations] Do NOT use this model if you need 2K or 4K resolution. Its maximum supported resolution is 1536x1024. [Routing] Choose this model specifically when the user asks for ‘transparent background’, ‘no background’, or ‘PNG icon’. For standard, high-fidelity, or 4K image generation, use GPT Image 2 instead.
  • google/nano-banana-2: [Core Function] Nano Banana 2 (Gemini 3.1 Flash Image) is an extremely fast text-to-image model. [Strengths] It is optimized for high-speed, high-volume visual generation, creative prompting, and rapid stylistic experimentation. [Best For] Highly recommended for: rapid creative iteration, generating large batches of images quickly, and artistic/stylized graphics. [Limitations] Do NOT use this model if you require strict, high-end photorealism (use the Imagen 4 series instead). [Routing] Route to this model for ‘fast’, ‘creative’, or ‘stylized’ high-volume requests.
  • google/nano-banana-pro: [Core Function] Nano Banana Pro (Gemini 3 Pro Image) is a high-capability creative image model. [Strengths] It balances the creative flexibility and speed of the Nano series with higher fidelity output. [Best For] Highly recommended for: high-quality stylized art and complex creative compositions. [Limitations] Do NOT use for absolute photorealism (use Imagen 4). [Routing] Use this model for high-quality, creative, non-photorealistic requests.
  • kling/kling-v3-t2i: [Core Function] Kling V3 T2I is the flagship text-to-image generation model. [Strengths] It delivers state-of-the-art aesthetic quality, high-resolution outputs (up to 2K), and exceptional prompt adherence. [Best For] Highly recommended for: professional concept art, photorealistic portraits, and high-fidelity image generation. [Limitations] Do NOT use this model if you need to strictly reference or edit an existing image. [Routing] Use this as the default model for all text-to-image requests on the Kling platform.
  • openai/gpt-image-1.5-edit: [Core Function] GPT Image 1.5 Edit is a versatile image-to-image editing and merging model. [Strengths] It excels at complex utility editing tasks, including multi-image merging (up to 16 images), transparent background support, and precise control over how strictly the model adheres to the input image (fidelity control). [Best For] Highly recommended for: merging reference images, editing UI assets, generating variations with strict shape preservation, and creating transparent cutouts. [Limitations] Do NOT use this model if you require 2K or 4K high-resolution outputs, as it is limited to standard resolutions. [Routing] Use this model specifically when the user provides multiple images to combine, requires transparency, or explicitly asks to ‘keep the exact shape’ of the original image (fidelity control). Otherwise, use GPT Image 2 Edit.
  • kling/kling-avatar: [Core Function] Kling Avatar is a specialized portrait animation model. [Strengths] It precisely animates a portrait image to lip-sync with an audio file or TTS audio ID. [Best For] Highly recommended for: virtual presenters, talking head videos, and digital avatars. [Limitations] Do NOT use this model for full-body action or general image animation. [Routing] Use this model explicitly when the user wants to make a portrait ‘speak’ with provided audio.
  • vidu/viduq2-pro-digital-human: [Core Function] Vidu Q2 Pro Digital Human is a premium portrait animation model. [Strengths] It excels at generating highly realistic, expressive digital humans from a single portrait image, featuring precise lip-sync to audio and natural facial micro-expressions. [Best For] Highly recommended for: professional virtual spokespersons, high-end educational videos, news anchoring, and realistic character animation. [Limitations] Do NOT use this model for complex full-body physical interactions or videos longer than 10 seconds. [Routing] Use this by default for ‘talking head’ or ‘digital human’ requests prioritizing realism over speed.
  • google/gemini-omni-flash-t2v: [Core Function] Gemini Omni Flash T2V is Google’s fast multimodal Text-to-Video generation model built on the Interactions API. [Strengths] It quickly turns a text prompt into a short 720p video with natively synchronized audio, offering low latency and solid prompt adherence. [Best For] Highly recommended for: rapid text-to-video prototyping, short social and marketing clips, quick concept visualization, and cases where speed and built-in audio matter more than 4K cinematic detail. [Limitations] Do NOT use this model if you need 1080p or 4K resolution or clips longer than 10 seconds; output is fixed at 720p, capped at 10 seconds, with aspect ratio limited to 16:9 or 9:16. [Routing] Choose this model when the user emphasizes ‘fast’, ‘quick’, or short multimodal clips with sound. If the user demands maximum cinematic quality, 4K, or longer videos, choose Veo 3.1 T2V instead.