Imagine creating a short animated film simply by describing the scene and sketching out the characters' poses. That's the promise of a new AI framework called Follow-Your-MultiPose (FYM). Generating videos from text prompts has seen remarkable progress, but orchestrating multiple characters in a scene has remained a challenge. FYM tackles this problem by cleverly combining text descriptions with pose guidance, allowing for detailed control over each character's movements and actions. The framework uses a 'tuning-free' approach, meaning it leverages existing pre-trained AI models without needing specialized retraining. This makes it incredibly versatile and adaptable to different artistic styles. How does it work? FYM starts by analyzing the provided pose sequences, creating masks that identify the spatial position of each character in the frame. Then, using the power of large language models like LLAMA or GPT-4, it processes the overall text description, assigning specific prompts to each character based on the provided narrative. A novel 'spatial-aligned cross-attention' mechanism integrates these individual prompts and pose masks, ensuring each character’s actions align with the textual description. A multi-branch control module further refines this control, preventing information 'bleed' between characters and maintaining consistency. The results are impressive. FYM generates videos with remarkable temporal coherence and detail, accurately reflecting the provided text and pose guidance. Moreover, by simply changing the input text or using different pre-trained visual models, users can easily alter the narrative, character actions, and even the artistic style of the generated video. This research opens exciting doors for various applications, from automated animation generation to interactive storytelling. Imagine creating personalized video content with customized characters and narratives, all with minimal effort. While this technology still has room to grow—improving fine-grained control and handling complex interactions are key future challenges—FYM represents a significant leap toward realizing the full creative potential of AI-driven video generation.