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 MiniMax
MiniMax H3 is a multimodal video generation model that supports text-to-video, first-frame and keyframe-guided generation, multi-reference conditioning, and audio-video continuation in a single workflow. It accepts text together with images, videos, and audio references to keep subjects, voice, motion, and scene identity more consistent across shots, while generating synchronized sound natively rather than as a separate dubbing pass. It is well suited to cinematic multi-shot generation, reference-driven character performance, instruction-based video editing, and continuation workflows that extend an existing clip or audio segment into a seamless new video.
Featured Models
Top-performing models in this category, recommended by our community and performance benchmarks.
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 Google
Gemini Omni Flash is Google's multimodal video generation and editing model in the Gemini Omni family. It turns text, photos, and video into 10-second clips with native audio generation, supports photo-to-video creation from up to five reference images, and adds video-to-video plus multi-turn editing workflows. Google positions it as the Gemini app successor to Veo 3.1, combining Gemini's world understanding with conversational control for video creation and editing.
by Luma
Ray3.2 is Luma's flagship video model for turning creative direction into controllable production workflows. It supports text-to-video, image-to-video, and video-to-video generation, with stronger continuity, motion transfer, camera motion transfer, character transformation, relighting, environment change, and product-swap workflows. It is built for cinematic-quality output, multi-keyframe control inside a single clip, and Modify Video V2 workflows that preserve performance, lighting, and scene structure while transforming existing footage.
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.
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 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 Runway
Runway Aleph 2.0 is Runway's upgraded flagship video editing model for transforming existing footage while keeping the rest of the clip stable. It is built for precise localized edits, single-frame visual guidance, and consistent edits across cuts and scene changes, making it useful for product swaps, packaging updates, background changes, relighting, scene cleanup, and other post-production workflows that need the output to stay close to the source video. It supports clips up to 30 seconds at 1080p.
by Pruna AI
P-Video-Replace is a video transformation model that swaps the on-camera character in an existing video with the character from a reference image. It is built to preserve the original motion, timing, camera behavior, lighting, and background while changing who appears in the clip, making it useful for UGC ad variations, content localization, avatar or mascot insertion, and other scalable character-replacement workflows.
by Pruna AI
P-Video-Animate is a motion-transfer video model that animates a single reference image using a source video as the motion driver. It preserves the original acting, timing, camera movement, and scene structure from the driving clip while restyling the output around the supplied image. It is well suited to UGC ad variations, meme remixes, character or avatar recasting, and other high-volume creative workflows that need fast, repeatable image-to-video animation with strong motion fidelity.
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 xAI
Grok Imagine Video 1.5 is xAI's newer image-to-video model. It is positioned above the earlier Grok Imagine Video release with higher per-second pricing, supports durations up to 15 seconds, and generates 480p or 720p video from a single still-image starting frame for cinematic clips, animated visuals, and prompt-guided short-form video creation.
by Kling AI
Kling VIDEO O1 Pro is a unified multimodal video foundation model for controllable generation and instruction based editing. It supports text prompts, visual references, and video input so developers can build high control pipelines for pacing, transitions, object changes, and style revisions.
by Kling AI
Kling VIDEO 3.0 Omni Pro is a unified multimodal video model that generates HD clips from text or images with native audio output. It prioritizes detail, motion realism, and stable subject identity, and it supports reference-driven generation plus prompt-based video editing with strong temporal consistency.
by Kling AI
Kling VIDEO 3.0 Omni Standard is a cost-efficient version of the 3.0 Omni generation that produces HD video from text or images with native audio. It balances quality with speed and price, and it supports reference-based generation plus prompt-based video edits that preserve temporal stability across the clip.
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 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 Kling AI
Kling VIDEO O1 Standard is a unified multimodal video model for controllable generation and instruction-based editing. It supports text prompts, image references, and video input to enable precise control over motion, transitions, object changes, and visual adjustments within short-form video workflows.
by Lightricks
LTX-2.5 Pro is the higher-capability model in the LTX 2.5 video family, built for production-quality multimodal video creation and transformation. It supports text-to-video, image-to-video, and audio-to-video workflows together with retake, extension, and reframing operations, pairing synchronized audio generation with higher-resolution output and longer-form clip control. It is well suited to commercial video production, concept films, storyboards, speaking-character shots, and other workflows that need stronger quality, broader modality support, and more flexible post-generation iteration than the Fast tier.