DreamWaltz-G is an innovative framework designed for generating 3D avatars and expressive full-body animations driven by text. Its core components include skeletal-guided score distillation and blended 3D Gaussian avatar representation. By integrating skeletal control of 3D human templates into a 2D diffusion model, it enhances the consistency of viewpoints and human poses, yielding high-quality avatars while addressing issues such as multiple faces, extra limbs, and blurriness. Moreover, the blended 3D Gaussian avatar representation, which combines neural implicit fields with parameterized 3D meshes, facilitates real-time rendering, stable SDS optimization, and expressive animations. DreamWaltz-G excels in generating and animating 3D avatars, surpassing existing methods in both visual quality and animation expressiveness. This framework also supports various applications, including human video reenactment and multi-subject scene compositions.