Best Video-to-Video
Models that transform an existing video into a new style or visual variation while preserving timing and structure. Useful for restyling, enhancement, and creative remixes.
Best rated
by Skywork
SkyReels V4 is a unified multimodal video foundation model for joint video-audio generation, inpainting, and editing. It accepts text, images, video clips, masks, and audio references, and supports cinematic outputs up to 1080p, 32 FPS, and 15 seconds with synchronized audio, making it suitable for prompt-driven generation as well as guided editing workflows.
Featured Models
Top-performing models in this category, recommended by our community and performance benchmarks.
by PixVerse
PixVerse Modify is a video-to-video editing model for changing existing footage with text instructions, optional reference images, and masks. It supports subject swapping, object addition and removal, free-form scene edits such as weather or lighting changes, in-video text replacement, and full-video style transfer while preserving the source clip structure.
by sync.
sync-3 is a lip synchronization model that processes entire shots as a single generation rather than stitching independent segments. It builds a global understanding of the speaker across all frames, enabling consistent output on close-ups, extreme face angles, partially obscured faces, and obstructed mouths. The model preserves the original speaker's style, cadence, and emotional expression across 95+ languages.
by ByteDance
Seedance 2.0 is a unified multimodal audio-video generation model from ByteDance that accepts text, image, audio, and video inputs in combination, supporting up to 9 images, 3 video clips, and 3 audio clips as reference. It generates multi-shot videos up to 15 seconds with dual-channel synchronized audio including dialogue, ambient sound, and effects. It features physics-aware motion, improved controllability for video extension and editing, and strong instruction following for complex scene composition.
by ByteDance
Seedance 2.0 Fast is a speed-optimized variant of ByteDance's unified multimodal audio-video generation model. It accepts text, image, audio, and video inputs in combination, like Seedance 2.0, but targets shorter wall-clock times and higher throughput for iterative workflows. It produces multi-shot videos with dual-channel synchronized audio including dialogue, ambient sound, and effects, with physics-aware motion and editing controls, while prioritizing responsiveness over the last increment of visual refinement so teams can preview and ship ideas faster.
by Alibaba
Wan2.7 is Alibaba's next-generation multimodal video model supporting text-to-video, image-to-video, reference-to-video, and video editing. It features multi-shot storytelling, subject-consistent multi-character generation, first-and-last-frame interpolation, video continuation, style transfer, instruction-based editing, and audio-conditioned generation with auto-dubbing. Output at 720p or 1080p, 30 FPS in multiple aspect ratios.
by Kling AI
Kling VIDEO 3.0 Pro is a unified multimodal video model that generates high-quality video with synchronized audio from text or images. It supports reference-guided generation, prompt-based editing, fine control over motion and pacing, and stable temporal coherence for cinematic and narrative clips. Native audio output includes dialogue, ambient sound, and effects aligned to the visuals.
by Kling AI
Kling VIDEO 3.0 Standard generates synchronized video and audio from text and images with a balance of quality, speed, and cost. It supports reference-based generation and prompt-driven edits while maintaining temporal stability and clear motion. Native audio output includes dialogue and ambient sound that aligns with the visual content.
by xAI
Grok Imagine Video is a multimodal generative video model that produces short video clips with native audio from text descriptions or static images. It supports text-to-video and image-to-video generation with synchronized sound effects and dialogue, enabling developers to animate scenes with motion, camera dynamics, and audio in a single API workflow.
by sync.
react-1 is a video performance editing model designed for post-production direction without reshoots. It modifies acting and emotional delivery within existing footage while preserving identity and visual continuity, enabling directors to reshape performances using audio or written guidance.
by Runway
Runway Gen-4.5 is an AI video generation model that creates short video clips from text prompts or static images with high visual fidelity and smooth motion. It supports both text-to-video and image-to-video generation with a range of aspect ratios and clip durations. Gen-4.5 emphasizes realistic motion, strong prompt adherence, and controllable composition, making it suitable for cinematic sequences and creative video workflows.
by Lightricks
LTX-2 Retake regenerates targeted segments inside an existing clip. Define start time and duration. Replace video, audio or both with new prompts. Preserve surrounding motion and continuity. Ideal for selective revisions, dialog tweaks, and shot refinements without full regen.
by MiniMax
MiniMax Hailuo 2.3 Fast is the speed tier of the Hailuo 2.3 video family. It targets rapid iteration for social clips, ads, and previews. It produces 6 second 768p or 1080p outputs with smooth motion and stable composition. Ideal for high volume image driven video workflows.
by MiniMax
MiniMax Hailuo 2.3 is a cinematic video model for short form production. It accepts text prompts or image inputs and outputs 6 or 10 second clips at 768p or 1080p. It focuses on consistent motion, strong physics, and stable scenes for ads, social content, and creative shots.
by OpenAI
Sora 2 Pro is the higher quality Sora 2 variant for precision video work. It supports text prompts and image inputs. It outputs synchronized video with sound, higher resolution frames, and stronger temporal consistency. Ideal for production clips and demanding pipelines.
by ByteDance
OmniHuman-1.5 generates high fidelity avatar video from a single image with audio and optional text prompts. It fuses multimodal reasoning with diffusion motion to keep identity stable, lip sync accurate, and gestures context aware for long, multi subject clips.
by Runway
Runway Aleph is an in‑context video model for high fidelity cinematic work. It transforms text prompts, reference images, and source clips into new shots with consistent lighting, style, and motion. Developers can build workflows for video editing, angle generation, and scene transformation.
KlingAI 2.0 Master is a multimodal video model for text and image driven generation. It uses a visual language framework and a Multi Elements Editor for precise scene control. Developers can build tools for rich motion, camera control, and real time video element updates.
by PixVerse
PixVerse V4 is a generative video model for text prompts or source images. It improves motion quality and complex camera movement. It adds motion modes, sound effect sync, and style transfer. Ideal for short cinematic clips and rapid creative iteration in production pipelines.
by Kling AI
KlingAI Lip-Sync aligns mouth motion and facial expression with new dialogue or music in existing video. Upload Kling generated clips or compatible footage, attach an audio track, then get back natural synced performance that fits multi character scenes and production workflows.