Train a custom video model
Generate lifelike video animations from images and audio
Browse robotic datasets visually
Text-to-Video
Upload and evaluate video models
https://huggingface.co/papers/2501.03006
text-to-video
Compare AI-generated videos by ability dimensions
Generate subtitled videos from YouTube links
Interact with video using OpenAI's Vision API
Generate videos from text prompts
Apply the motion of a video on a portrait
Track points in a video
Tune-A-Video Training UI is a user-friendly interface designed for training custom video models. It allows users to fine-tune video generation models for specific tasks, enabling them to adapt the model to their particular needs. The tool simplifies the process of training video models, making it accessible even to those with limited technical expertise.
• Custom Model Training: Train video models tailored to specific tasks like video generation, video analysis, or video enhancement.
• User-Friendly Interface: Intuitive design for easy navigation and configuration.
• Real-Time Feedback: Monitor training progress and adjust parameters dynamically.
• Integration Capabilities: Compatibility with popular machine learning frameworks and libraries.
• Scalability: Supports training on diverse datasets, from small-scale to large-scale projects.
• Pre-Trained Models: Access to pre-trained models for faster customization.
What is Tune-A-Video Training UI used for?
Tune-A-Video Training UI is used for training and fine-tuning custom video models, enabling users to adapt models for specific video generation or analysis tasks.
Do I need prior machine learning experience?
No, the interface is designed to be user-friendly and accessible to users with varying levels of expertise, including those new to machine learning.
What types of video models can I train?
You can train models for a variety of tasks, including video generation, video upscaling, object detection in videos, and more, depending on your dataset and requirements.