HiAPI
21:9 高调光宽幅 Hero 图:右侧透明玻璃胶片带与声波弧线在柔和虹彩中延展,「kandinsky-6.0-pro」以发光蚀刻字样嵌于玻璃框内,左侧为通透光晕留白。

Kandinsky 6.0 Pro

kandinsky-6.0-pro/image-to-video

An open-source diffusion video model that generates about 5 seconds at a time with 44 kHz synchronized audio and lip-sync, supports text-to-video and image-to-video, and can upscale to Full-HD

Try kandinsky-6.0-pro/image-to-video

Input

Output

Fill in the parameters and run — results show up here.

Pricing

kandinsky-6.0-pro/image-to-video per video

Unit Price $2.000

Positioning Overview

Kandinsky 6.0 Pro's image-to-video pipeline is aimed at developers who already have a first-frame image and want to quickly obtain dynamic footage along with matching sound. Upload a JPG, PNG, or WebP image as the first frame, describe the motion, camera movement, and sound direction in the prompt, and the model generates synchronized audio and lip-sync effects while producing the video. It is suitable for supplementary short-video footage, storyboard prototypes, and dialogue-based clip production. It is called through the unified HiAPI.ai interface and billed once per task.

Core Highlights

  • Visuals and sound generated in one pass — video and audio are produced jointly in the same pipeline, eliminating separate post-production dubbing and lip-sync alignment steps.
  • First-frame-locked composition — the input image serves as the first frame; the subject and composition are determined by the image, while the prompt only describes motion, camera movement, and sound changes.
  • Controllable generation parameters — seed, guidance scale, negative prompts, and aspect ratio are provided, enabling reproducible results and tuning of how closely the output follows the prompt.

Capabilities

Image-driven video generation: accepts a single image as the first frame and combines it with a prompt of up to 6,000 characters describing motion and camera movement to output a video clip; the subject and composition are determined by the first frame, making it suitable for extending motion from an existing image.

Synchronized audio and lip-sync: during generation, approximately 44 kHz audio is produced synchronously and includes lip-sync; the output clip carries its own sound, so no separate dubbing or audio-visual alignment is needed.

Aspect ratio control: supports 16:9, 9:16, 1:1, 4:3, 3:4, and auto; auto selects the aspect ratio closest to the input image and center-crops, making it easy to directly fit landscape, portrait, or square placements.

Guidance and negative prompt adjustment: guidance_scale adjusts how closely the result follows the prompt between 1 and 10, and negative_prompt can exclude unwanted elements; when left empty, a built-in negative prompt is used.

Seed reproducibility: passing a seed reproduces the same generation result, making it easy to fix a baseline during parameter tuning or batch production, and convenient for regression comparisons.

Use Cases

  • Social media creators generating dynamic short clips from still images — input an existing cover image or product image to produce an approximately 5-second portrait or square video with sound, ready for short-video platforms and feed ad creatives.
  • Storyboard artists extending concept art into dynamic shots — use a concept design as the first frame, describe camera movement and sound effects in the prompt, and produce dynamic storyboard clips for pitches and previsualization.
  • Prototyping dialogue-based character clips — input a character image, describe speaking motion and voice, and get a short clip with synchronized lip-sync and audio for prototype validation of character shorts or dubbing demos.

Limitations and Selection Advice

The default generation length is about 5 seconds; longer final videos require segmented generation and manual stitching. The Pro version has a large parameter count, and local deployment has high VRAM and compute requirements; Full-HD output requires an additional super-resolution pipeline and is not obtained directly from a single generation. If the task is to conceive imagery from scratch rather than animate an existing image, choose the text-to-video pipeline in the same series; for long-form production with stricter duration and resolution requirements, evaluate the cost of segmented stitching and the super-resolution workflow.

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