Sora2

DiffSynth-Studio is an open-source Diffusion model engine developed and maintained by the ModelScope Community, focusing on image and video generation. It supports mainstream models like FLUX, Wan, and Qwen-Image, offering efficient memory management and flexible training frameworks. Key features include VRAM optimization, low-memory inference, LoRA/ControlNet training, and innovative techniques like EliGen and Nexus-Gen for pushing generative model boundaries.

X-AnyLabeling is a powerful annotation tool integrated with an AI engine for fast and automatic labeling. Designed for multi-modal data engineers, it offers industrial-grade solutions for complex tasks. Supports images and videos, GPU acceleration, custom models, one-click inference for all task images, and import/export formats like COCO, VOC, YOLO. Handles classification, detection, segmentation, captioning, rotation, tracking, estimation, OCR, VQA, grounding, etc., with various annotation styles including polygons, rectangles, rotated boxes.

LightX2V is an advanced lightweight video generation inference framework engineered to deliver efficient, high-performance video synthesis solutions. This unified platform integrates multiple state-of-the-art video generation techniques, supporting diverse generation tasks including text-to-video (T2V) and image-to-video (I2V). X2V represents the transformation of different input modalities (X, such as text or images) into video output (V).