DreamActor-M1

Act-Two enables animation of any character by transferring movements, expressions, and speech from a driving performance video onto a static image or reference video of your character. By selecting the Gen‑4 Video model and then the Act‑Two icon in Runway’s web interface, you supply two inputs; a performance video of an actor enacting your desired scene and a character input (either a single image or a video clip), and optionally enable gesture control to map hand and body movements onto character images. Act‑Two automatically adds environmental and camera motion to still images, supports a range of angles, non‑human subjects, and artistic styles, and retains original scene dynamics when using character videos (though with facial rather than full‑body gesture mapping). Users can adjust facial expressiveness on a sliding scale to balance natural motion with character consistency, preview results in real time, and generate high‑resolution clips up to 30 seconds long.

Hunyuan Motion (also known as HY-Motion 1.0) is a state-of-the-art text-to-3D motion generation AI model that uses a billion-parameter Diffusion Transformer with flow matching to turn natural language prompts into high-quality, skeleton-based 3D character animation in seconds. It understands descriptive text in English and Chinese and produces smooth, physically plausible motion sequences that integrate seamlessly into standard 3D animation pipelines by exporting to skeleton formats such as SMPL or SMPLH and common formats like FBX or BVH for use in Blender, Unity, Unreal Engine, Maya, and other tools. The model’s three-stage training pipeline (large-scale pre-training on thousands of hours of motion data, fine-tuning on curated sequences, and reinforcement learning from human feedback) enhances its ability to follow complex instructions and generate realistic, temporally coherent motion.