MagicVideo-V2 is an advanced multi-stage video generation framework that integrates text-to-image (T2I), image-to-video (I2V), video-to-video (V2V), and video frame interpolation (VFI) modules into a seamless end-to-end pipeline. This framework aims to generate high-aesthetic, high-resolution videos from textual descriptions, addressing the growing demand for high-fidelity video generation. Key components include: 1. **Text-to-Image (T2I) Module**: Generates a 1024×1024 reference image from text prompts, capturing the aesthetic essence of the input. 2. **Image-to-Video (I2V) Module**: Uses the reference image and text prompt to generate low-resolution keyframes, enhanced with a motion module and a reference image embedding module for better visual quality and content consistency. 3. **Video-to-Video (V2V) Module**: Refines and super-resolves the keyframes to produce high-resolution videos, improving details and reducing structural errors. 4. **Video Frame Interpolation (VFI) Module**: Interpolates frames between keyframes to smooth motion and enhance temporal coherence. Human evaluations and qualitative examples demonstrate that MagicVideo-V2 outperforms leading Text-to-Video systems such as Runway, Pika 1.0, Morph, Moon Valley, and Stable Video Diffusion model, showing superior performance in frame quality, visual appeal, temporal consistency, and fewer structural errors.MagicVideo-V2 is an advanced multi-stage video generation framework that integrates text-to-image (T2I), image-to-video (I2V), video-to-video (V2V), and video frame interpolation (VFI) modules into a seamless end-to-end pipeline. This framework aims to generate high-aesthetic, high-resolution videos from textual descriptions, addressing the growing demand for high-fidelity video generation. Key components include: 1. **Text-to-Image (T2I) Module**: Generates a 1024×1024 reference image from text prompts, capturing the aesthetic essence of the input. 2. **Image-to-Video (I2V) Module**: Uses the reference image and text prompt to generate low-resolution keyframes, enhanced with a motion module and a reference image embedding module for better visual quality and content consistency. 3. **Video-to-Video (V2V) Module**: Refines and super-resolves the keyframes to produce high-resolution videos, improving details and reducing structural errors. 4. **Video Frame Interpolation (VFI) Module**: Interpolates frames between keyframes to smooth motion and enhance temporal coherence. Human evaluations and qualitative examples demonstrate that MagicVideo-V2 outperforms leading Text-to-Video systems such as Runway, Pika 1.0, Morph, Moon Valley, and Stable Video Diffusion model, showing superior performance in frame quality, visual appeal, temporal consistency, and fewer structural errors.