Type a name, or just describe what you need. Results blend keyword and meaning-based search. 14 matches, each with an EU availability status.
Model
Reference-to-video model from HKUST for personalizing videos with multiple people and objects.
Subject-driven text-to-video model that keeps multiple reference characters and objects consistent across art styles.
Model · Hao AI Lab
Distilled MiniMax H3 reference-to-video-and-audio model from Hao AI Lab, generating in 8 steps instead of 50.
Model · ByteDance
ByteDance unified video generation and editing framework pairing an MLLM semantic planner with a DiT renderer.
Model · Alibaba
Alibaba's AI video generation model with native audio and lip sync, text, image and reference-to-video up to 1080p.
Research
Research framework for controllable video generation from sketches, pose or line art, a reference image and a text prompt.
ByteDance Seed's multimodal video generation model, producing video from text and reference inputs.
Model · Kling
Research model that clones multi-shot camera motion from a reference video onto a new source image.
Research model for real-time, audio-driven talking-head video generation from a reference image, using one-step inference.
ByteDance Seed's video generation model supporting multi-reference inputs and one-take creation.
Model · Kuaishou
Kuaishou's Kling 4 video generation model with multi-reference input, keyframe control, native stereo audio and HDR output.
Model · Google
Google's video generation model producing clips up to 15 seconds from text, image, video or audio input.
Research video generation framework that keeps scenes consistent after edits using RGB and depth context memory banks.
Streaming real-world video super-resolution using sparse large-model keyframes and a lightweight propagation network.
