# Dynamic Scene Generation

LoRA trained based on Wan2.1 14B I2V 480p model, capable of transforming characters/objects in images into historical painting style videos

Allegro-TI2V is an open-source text-to-image-to-video model capable of generating high-quality video content based on user-provided prompts and input images.

A video generation model based on CogVideoX-5b, capable of producing high-quality video content from text descriptions

This model combines large language models with video diffusion technology, supporting text-to-video generation and allowing control over video content through bounding box conditional input.

AnimateDiff is a technology that enables existing Stable Diffusion text-to-image models to generate videos by inserting motion module layers to achieve coherent motion between frames.