It offers video generation at 24 frames per second, and the newer models are trained with significantly more visual and motion data (over 65% more images and 80%+ more videos than prior versions) to improve generalisation across a broad range of scenes and semantics. Because it is open source under licenses like Apache-2.0, users can download model weights, run it locally.
- Filmmakers & Video Creators: Professionals and hobbyists wanting cinematic visuals with control over shot framing, motion, lighting.
- Researchers & Developers: Those interested in open source video diffusion models, MoE architectures, or custom experimentation.
- Content Creators & Influencers: People creating short videos, social content, or visuals needing consistent style and motion.
- Educational Institutions: Teachers and students studying computer vision, AI video generation, motion understanding.
- GPU Owners & Tinkerers: Individuals with mid to high-end GPUs who want to run models locally for flexibility and privacy.
How to Use It:
- Choose Model Workflow: Pick either text-to-video or image-to-video mode based on your input.
- Enter Prompt / Input Image: Provide the text description or static image to start generation.
- Adjust Settings: Fine-tune resolution (480p or 720p), lighting style, color grading, motion smoothness.
- Run Generation: Use the chosen model (e.g. TI2V-5B or A14B) to generate video frames at 24fps.
- Export & Review: Get final video output, review motion, color and lighting, make edits or re-run as needed.
- MoE Architecture: Multiple expert subnetworks reduce computation costs while increasing capacity.
- Open Source: Full model weights and code are available, enabling local runs, research, or modification.
- High Motion & Aesthetic Fidelity: Improved motion stability, detailed lighting and composition.
- Multi-Modal Input Support: Both text and images can seed the video generation.
- Optimized for Consumer GPUs: Even powerful but non-enterprise hardware can run models like TI2V-5B.
- Strong balance between control and performance.
- Open source transparency—no hidden “paywalls” for core tech.
- Cinematic results possible without expensive proprietary tools.
- Wide base of users: creators, researchers, developers.
- Ability to fine-tune or adapt models thanks to community contributions.
- 720p resolution might be limiting for high-end or theatrical uses.
- Generation times still non-trivial for complex scenes or long videos.
- Requires decent GPU hardware for best performance.
- Feature polish and UI might lag behind closed-source commercial video tools.
- Some scene complexity (e.g. human faces, fine details) may still show artifacts.
Basic
$ 29.90
- 630 Credits /mo
Plus
$ 49.90
- 1.6K Credits /mo
Enterprise
$ 99.90
- 3.6K Credits /mo
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FAQs
An open-source cinematic video generation model that creates videos from text or images using MoE architecture.
Supports 720p video generation at 24fps; also lower resolution (480p) options in some workflows.
For best results, yes—models like TI2V-5B work well even on consumer GPUs like the RTX 4090; smaller setups might be slower.
Yes—you can download model weights and run locally; open source under licenses like Apache-2.0.
Both text prompts and static images can serve as inputs for video generation.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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