Best Text-to-Video
Models chosen for generating video directly from text prompts with stable motion and visually coherent scenes. Useful for concepting, short narrative clips, and rapid visual iteration.
Best rated
by Alibaba
HappyHorse-1.0 is a video generation model for text-to-video and image-to-video workflows. It supports output at 720p or 1080p, clip durations from 3 to 15 seconds, seeded generation, watermark control, and first-frame image conditioning for image-to-video generation.
Featured Models
Top-performing models in this category, recommended by our community and performance benchmarks.
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 Kling AI
Kling VIDEO 3.0 4K is the 4K variant of Kling VIDEO 3.0 for text-to-video and image-to-video generation. It extends the 3.0 series from 720p Standard and 1080p Pro into 4K output while keeping the same multimodal strengths: native audio generation, multi-shot sequencing, element consistency, prompt-driven scene control, and stable temporal coherence across longer clips.
by Kling AI
Kling VIDEO O3 4K is the 4K variant of Kling VIDEO O3 for text-to-video and image-to-video workflows. It raises the O3 line from 720p Standard and 1080p Pro to 4K output while preserving the series strengths: native audio generation, reference-guided video creation, prompt-based editing, multi-shot structure, and stable subject consistency for more demanding cinematic and advertising workflows.
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 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 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 V6 is a video generation model focused on multi-shot storytelling with native synchronized audio. It provides over 20 cinematic camera controls including focal length, aperture, depth of field, lens distortion, and vignetting. It features improved character consistency across shots using multi-image references, supports 1080p output at up to 15 seconds, and includes multilingual text rendering in frames.
by Lightricks
LTX-2.3 is a multimodal video generation model that produces synchronized video and audio from text or images. It supports text-to-video and image-to-video workflows with native dialogue and ambient sound generation, emphasizing temporal stability, strong motion coherence, and production-ready output quality for professional creative pipelines.
by Lightricks
LTX-2.3 Fast is a performance-optimized variant of LTX 2.3 designed for rapid video generation with synchronized audio. It supports text-to-video, image-to-video, and audio-conditioned workflows while prioritizing speed, responsiveness, and cost efficiency for draft, preview, and high-velocity creative production use cases.
Pruna P-Video is a real-time AI video generation model designed for fast creative iteration and production workflows. It supports text-to-video, image-to-video, and audio-to-video through a unified endpoint, delivering up to 1080p at 48 FPS with integrated dialogue generation and audio import. The model emphasizes speed, cost efficiency, sequencing consistency across clips, and stable subject identity, making it well suited for brand content, multi-format distribution, and rapid draft-to-refine pipelines.
by Vidu
Vidu Q3 Turbo is a speed-optimized multimodal video generation model that produces short video clips with synchronized audio directly from text or images. It prioritizes fast inference and responsive iteration while preserving stable motion, coherent composition, and reliable audio alignment, making it suitable for rapid prototyping and production workflows where latency is critical.
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 O3 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 HeyGen
HeyGen Video Agent is an AI video production model that generates complete, multi-scene videos from a single text prompt. It automates the full production pipeline — scriptwriting, avatar selection, shot planning, B-roll integration, motion graphics, captions, and editing — producing broadcast-ready videos with consistent branding. The agent supports customizable avatars, voice cloning, and iterative editing without full regeneration, enabling scalable video content creation for marketing, training, and social media.
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 PixVerse
PixVerse V5.6 is an upgraded video generation model that improves visual stability, motion clarity, and audio-visual alignment over previous versions. It supports text-to-video and image-to-video generation with optional native audio, delivering more accurate multi-character lip-sync, cleaner motion in complex scenes, and more natural speech and environmental sound for single-shot cinematic outputs.
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 Lightricks
LTX-2 Fast is the high speed tier of the LTX-2 video foundation model. It targets rapid cinematic iteration with strong motion quality and visual consistency. Generate short synced audio video clips from text or image prompts with low latency and efficient GPU use.
by Google
Veo 3.1 Fast is a high speed variant of Veo 3.1 for rapid creative iteration. It supports text prompts, image prompts, and reference images. It targets low latency workflows while keeping cinematic quality for short form and multi shot video generation with native audio.
by Lightricks
LTX-2 Pro is a cinematic video model by Lightricks. It supports text prompts and image inputs. It outputs high resolution clips with realistic motion and precise lighting. It targets professional workflows that need stable pacing, detailed subjects, and synchronized audio.
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 Alibaba
Wan2.5-Preview is Alibaba’s multimodal video model in research preview. It supports text to video and image to video with native audio generation for clips around 10 seconds. It offers strong prompt adherence, smooth motion, and multilingual audio for narrative scenes.
by Google
Veo 3 Fast is an optimized video generation model for rapid iteration and lower cost. It creates short clips from text or images with native audio that includes dialogue, sound effects and music. It keeps realistic motion, strong physics and reliable prompt control.
by MiniMax
MiniMax Hailuo 02 is a 1080p AI video model for cinematic, high motion scenes. It converts text prompts or still images into short, polished clips with strong instruction following and realistic physics. Ideal for commercial spots, trailers, music promos, and social shorts.
