Kling O1 Edit Video [Pro]
Edit an existing video using natural-language instructions, transforming subjects, settings, and style while retaining the original motion structure.
Edit an existing video using natural-language instructions, transforming subjects, settings, and style while retaining the original motion structure.
Kling O1 Omni generates new shots guided by an input reference video, preserving cinematic language such as motion, and camera style to produce seamless scene continuity.
Generate subject consistent videos using Lynx from ByteDance!
Add automatic subtitles to videos
Video background removal version of bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS)
Omnihuman v1.5 is a new and improved version of Omnihuman. It generates video using an image of a human figure paired with an audio file. It produces vivid, high-quality videos where the character’s…
Infinitalk model generates a talking avatar video from an image and audio file. The avatar lip-syncs to the provided audio with natural facial expressions.
Kling AI Avatar Standard: Endpoint for creating avatar videos with realistic humans, animals, cartoons, or stylized characters
Kling AI Avatar Pro: The premium endpoint for creating avatar videos with realistic humans, animals, cartoons, or stylized characters
Generate high-quality realistic lipsync animations from audio while preserving unique details like natural teeth and unique facial features using the state-of-the-art Sync Lipsync 2 Pro model.
Professional-grade video upscaler with strong temporal consistency, enhancing videos up to 8K resolution. Trained on fully licensed and commercially safe data - risk-free for production and enterprise use.
Infinitalk model generates a talking avatar video from a text and audio file. The avatar lip-syncs to the provided audio with natural facial expressions.
Infinitalk model generates a talking avatar video from an image and audio file. The avatar lip-syncs to the provided audio with natural facial expressions.
Wan-2.2 text-to-video is a video model that generates high-quality videos with high visual quality and motion diversity from text prompts. This endpoint supports LoRAs made for Wan 2.2.
Wan-2.2 image-to-video is a video model that generates high-quality videos with high visual quality and motion diversity from text prompts and images. This endpoint supports LoRAs made for Wan 2.2
OmniHuman generates video using an image of a human figure paired with an audio file. It produces vivid, high-quality videos where the character’s emotions and movements maintain a strong correlation with…
Interpolate videos with RIFE - Real-Time Intermediate Flow Estimation
Interpolate videos with FILM - Frame Interpolation for Large Motion
Generate realistic audio from a video with an optional text prompt
Generate realistic audio for a video with an optional text prompt and combine
Automatically remove backgrounds from videos -perfect for creating clean, professional content without a green screen.