Kling AI Avatar 2.0 is Kuaishou’s audio-driven avatar model that transforms a single image and voice into expressive talking videos, supporting multilingual speech and up to five-minute continuous generation.
Click to upload or drag and drop
Supported formats: JPEG, PNG Maximum file size: 10MB
The URL of the image to use as your avatar
Click to upload or drag and drop
Supported formats: MPEG, WAV, X-WAV, AAC, MP4, OGG Maximum file size: 100MB
The URL of the audio file. The duration cannot exceed 5 minutes
The prompt to use for the video generation
0/5000Click to upload or drag and drop
Supported formats: JPEG, PNG Maximum file size: 10MB
The URL of the image to use as your avatar
Click to upload or drag and drop
Supported formats: MPEG, WAV, X-WAV, AAC, MP4, OGG Maximum file size: 100MB
The URL of the audio file. The duration cannot exceed 5 minutes
The prompt to use for the video generation
0/5000Complete guide to using Kling AI Avatar 2.0
Generate expressive, long-form talking avatars from a single image and audio with production-ready quality, powered by Kuaishou’s Kling AI Avatar 2.0.
Kling AI Avatar 2.0 is Kuaishou’s upgraded avatar generation system designed for long-form, audio-driven avatar performances from a single image. It focuses on richer facial expressiveness, stronger realism, and broader coverage across speaking and singing scenarios, while supporting longer continuous outputs of up to five minutes in a single generation. Kling Avatar 2.0 works across diverse character types, including realistic humans, illustrated characters, and stylized avatars, making it suitable for practical production use.Kling AI Avatar 2.0 API brings these capabilities into a developer-ready interface, allowing teams to generate talking avatar videos directly inside their products. By submitting a reference image and speech or singing audio, with optional prompt guidance for expression and motion style, applications can produce synchronized avatar videos that preserve identity, match audio rhythm, and scale reliably across multilingual use cases.
Kling AI Avatar v2 Standard API is designed for faster creation and lower expenses while maintaining stable lip-sync performance and consistent character identity. It is well suited for high-volume workflows such as educational narration, automated presenters, internal tools, and scalable content pipelines.Kling Avatar v2 Standard API outputs up to 720p resolution, providing a practical balance between quality and efficiency for everyday avatar production.
Kling AI Avatar v2 Pro API targets higher visual quality and more refined avatar performance for professional use cases. It delivers stronger realism, richer facial detail, and more expressive motion, making it appropriate for marketing content, premium virtual characters, and production-grade avatar videos. Kling Avatar v2 Pro API outputs up to 1080p resolution, supporting scenarios where visual quality directly impacts user perception.
Kling AI Avatar 2.0 API is designed for a practical and streamlined workflow: a single image and an audio file are enough to generate a complete talking avatar video within minutes. Optional text guidance can be added to influence expression, emotion, and motion style, giving creators more control when needed without adding complexity for basic use. There is no need for animation setup, face rigging, or manual tuning, which makes Kling AI Avatar 2.0 API suitable for creators, teams, and platforms that need to move quickly from idea to production-ready avatar content.
Unlike many avatar tools limited to short clips, Kling Avatar 2.0 API supports continuous generation for audio up to five minutes long in a single run. This enables real-world scenarios such as lectures, presentations, storytelling, interviews, and song-style performances, where Kling Avatar 2.0 API can maintain consistent identity, timing, and expression throughout longer content.
Kling AI Avatar V2 API is designed to handle both speaking and singing audio across multiple languages, enabling avatar experiences for global audiences. By aligning facial motion with diverse linguistic rhythms, Kling AI Avatar V2 API maintains natural synchronization and expressive delivery across multilingual narration, dialogue, and vocal performance use cases.
Kling AI Avatar 2.0 API is not limited to photorealistic faces. It works consistently with real human portraits, anime-style characters, illustrated figures, and stylized avatars. This allows developers to apply Kling AI Avatar 2.0 API across different visual styles while preserving the identity and aesthetic of the original image.
Beyond basic lip-sync, Kling AI Avatar 2.0 API allows developers and creators to manually influence how an avatar performs through optional text guidance. By specifying emotional tone, expression intensity, and motion style, teams can shape whether an avatar appears calm, enthusiastic, serious, or expressive, and control how subtle or dynamic the facial movement feels. This makes Kling AI Avatar 2.0 API suitable not only for quick generation, but also for professional scenarios where consistent character behavior and expressive control matter.
Kling AI Avatar 2.0 introduces meaningful upgrades over the first-generation Kling AI Avatar 1.0, focusing on performance quality, motion realism, and long-form content support. These improvements make Avatar 2.0 more suitable for professional use cases such as education, storytelling, marketing, and expressive video content.
Compared with Avatar 1.0, Kling AI Avatar 2.0 delivers more natural body movement, richer facial expressions, and improved gesture coordination. Avatars can now support explanations with expressive motion, making presentations clearer, communication more vivid, and performances more emotionally engaging.
A major limitation of Avatar 1.0 was unstable or unnatural hand motion. Kling AI Avatar 2.0 significantly improves hand tracking and gesture stability, resulting in clearer, more professional-looking movements that feel consistent across longer performances.
Kling AI Avatar 1.0 was primarily suitable for short-form clips. Kling AI Avatar 2.0 expands this capability to support continuous generation of videos up to five minutes long, enabling long-form scenarios such as lectures, deep-dive explanations, storytelling, song performances, and advertising without interruption.
Based on Kling’s internal evaluation dataset, Kling AI Avatar 2.0 demonstrates stronger overall performance than comparable avatar models such as Omnihuman-1.5 (Dreamina) and HeyGen Avatars across multiple evaluation dimensions. The results reflect consistency in motion quality, expression naturalness, lip-sync accuracy, and overall visual realism.In the same evaluation framework, Kling AI Avatar 2.0 achieved an overall GSB score of 194% compared to Omnihuman-1.5 (Dreamina) and 126% compared to HeyGen Avatars, indicating a higher win–loss ratio across test samples. These results position Kling AI Avatar 2.0 among the leading avatar generation systems currently available.
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High-quality results with the Kling AI Avatar 2.0 API primarily depend on the quality of the source image and the clarity of the input audio. A clear portrait and clean speech provide the strongest foundation for natural lip-sync and stable facial motion. Text prompts are optional and serve as an additional control layer, allowing you to fine-tune expression, tone, and motion style when needed. By combining strong inputs with concise guidance, teams can achieve more consistent and production-ready avatar outputs.
The quality of the input image directly affects the output of Kling AI Avatar 2.0 API. Clear facial features, good lighting, minimal occlusion (no hands covering the face, no heavy shadows), and a forward-facing or slightly angled pose consistently produce more stable lip-sync and more natural facial motion when using Kling AI Avatar 2.0 API in production environments.
The clarity and pacing of the input audio have a direct impact on the final output of Kling Avatar 2.0 API. Clean recordings with minimal background noise, clear pronunciation, and natural speaking rhythm enable Kling Avatar 2.0 API to produce more accurate lip-sync and smoother facial timing, especially for longer narration or multilingual content.
Kling Avatar 2.0 API supports optional text guidance that can influence emotional tone, facial expressiveness, and motion style. Simple, focused instructions such as “calm and professional delivery”, “friendly with subtle head movement”, or “energetic presentation” help Kling Avatar 2.0 API generate avatar performances that better match the intent of the audio content.
Kling AI Avatar V2 API performs best when prompts are concise and structured rather than long or overly complex. Effective prompts typically describe three elements: the subject or persona, the intended expression, and the desired motion style. This structure allows Kling AI Avatar V2 API to interpret creative intent more accurately while preserving character consistency.
Different character styles benefit from different prompt approaches when using Kling AI Avatar 2.0 API. Realistic human portraits generally work best with subtle emotional guidance, while illustrated or stylized characters can support more expressive or dynamic instructions. Matching prompt tone to the visual style helps Kling AI Avatar 2.0 API maintain both identity and believability.
Kling AI Avatar 2.0 API is commonly used to create AI presenters for tutorials, onboarding content, internal training, and product explainers. By combining a single portrait with narration audio, teams can generate consistent talking-head videos without filming, making Kling AI Avatar 2.0 API practical for scalable educational and knowledge-based content.
Marketing teams use Kling Avatar 2.0 API to build branded avatar spokespeople for ads, landing pages, product launches, and social media campaigns. Because Kling Avatar 2.0 API preserves visual identity while adapting to different scripts and languages, brands can maintain consistent character presence across multiple channels and formats.
Kling AI Avatar V2 API supports stylized illustrations, animated characters, and artistic avatars in addition to realistic portraits. This makes Kling AI Avatar V2 API suitable for storytelling, entertainment content, roleplay experiences, and character-driven videos where expressive performance and personality matter.
Kling AI Avatar 2.0 API is well suited for multilingual content delivery across global audiences. Teams can use the same avatar to deliver messages in different languages while maintaining consistent appearance and natural lip-sync, making Kling AI Avatar 2.0 API useful for international education platforms, global marketing, and cross-border communication.
Each request takes an image_url for the avatar (JPEG or PNG, up to 10MB) and an audio_url for the speech (MP3, WAV, AAC, MP4 audio or OGG, up to 100MB and 5 minutes), and the video length follows the audio.
Send model kling/ai-avatar-standard for 720p output or kling/ai-avatar-pro for 1080p output to POST /api/v1/jobs/createTask; both take the same inputs. Pricing for each tier is shown in the pricing card above.
The prompt is required and can run up to 5,000 characters. Use it to describe the avatar's expression, movement and camera, while the speech itself comes from audio_url.
New Kie.ai users receive 80 free credits to test Kling AI Avatar 2.0. Pass a callBackUrl to have results posted to you when generation completes, with signature verification described in the Kie.ai webhook guide, or poll the Get Task Details endpoint.