Core AI model architectures and techniques used in video generation
A technique for animating static images or applying motion to existing images using diffusion models. AnimateDiff works with various base models.
An AI technique that helps models focus on the most important parts of data. Attention mechanisms improve understanding and generate more relevant, detailed results.
A saved snapshot of an AI model at a specific point during training. Checkpoints allow developers to save progress and use models at different stages of training.
An AI model that understands both images and text, connecting visual concepts with words. CLIP helps video generators understand what your text prompts describe visually.
Tsinghua University and Zhipu AI's text-to-video and image-to-video model with strong understanding of spatial relationships and motion.
A technique that gives you precise control over specific aspects of AI-generated content, like composition, structure, or movement. ControlNet makes AI generation more predictable and customizable.
An open-source tool for creating video animations from AI-generated images using camera movement parameters and keyframe control.
A method where an image or video starts as random noise and slowly becomes a clear picture through iterative denoising steps. Diffusion models are the foundation of most modern AI image and video generators.
A video generation model that specializes in subject-preserving text-guided video generation, maintaining specific objects or subjects in the output.
An AI architecture where two neural networks compete with each other—one generates content, the other judges it. This competition improves both, creating realistic and high-quality outputs.
An AI video generation platform offering creative tools for both image-to-video and text-to-video generation with strong creative control.
A fast, efficient version of diffusion models that works in a compressed space rather than full resolution. Latent diffusion generates high-quality videos and images while using less computing power.
A technique for fine-tuning AI models efficiently by training only a small set of additional parameters rather than the entire model. LoRA makes it possible to customize AI models with less computing power and storage.
An AI platform specializing in 3D generation and video creation with realistic lighting and spatial understanding. Luma creates dimensional content.
Meta's text-to-video generation model that creates videos from text descriptions using multimodal learning across images and videos.
An AI system trained on large datasets to perform specific tasks like generating images or videos. Different models have different capabilities, speeds, and quality levels.
Alibaba's AI video generation model offering open-source and commercial video generation capabilities with strong multilingual support.
OpenAI's advanced text-to-video AI model that generates high-quality, cinematic videos from text descriptions. Sora creates videos with realistic physics and detailed scenes.
A popular open-source AI model that generates images and videos from text descriptions. It's known for being fast, reliable, and widely used across many applications.
The process of breaking text into smaller chunks called tokens that AI models can understand and process. Proper tokenization ensures AI models interpret your prompts correctly.
The large collection of examples (images, videos, text) used to teach AI models how to generate content. Better quality and more diverse training data leads to better AI results.
A powerful AI architecture that processes information by understanding relationships between different parts of data. Transformers power most modern AI models including video generators.
An AI architecture that learns to compress data into a simplified form and then reconstruct it. VAEs are often used in video generation to create smooth, coherent animations.
Google's text-to-video and image-to-video AI model that creates high-quality, stylistically consistent videos. Veo supports multiple aspect ratios and durations.