Humo AI

HuMo AI is a multi-modal video generation model by ByteDance that creates videos from text, images, and audio inputs, with controlled motion and consistent identity across scenes. It supports text-to-video, text-image, text-audio, and text-image-audio conditioning to balance prompts, references, and audio signals. The system emphasizes human-centric generation and aims to deliver natural audio-driven animation and stable subject representation.

HuMo AI operates by conditioning video output on prompts, a reference image, and audio inputs. It offers modes like TI (Text + Image), TA (Text + Audio), and TIA (Text + Image + Audio) to guide motion, identity, and lip-sync. It enables editing of appearance while preserving the same subject identity through text prompts, enabling flexible scene changes without losing consistency.

HuMo AI is positioned for storytelling, digital humans, education, and content production. It supports lip-sync and audio-driven animation, marketing and social videos, and product demos. It highlights multi-modal workflows for consistent character rendering, synchronized audio, and rapid prototyping of scenes. The tool focuses on providing expressive, controllable video generation for creative workflows.

HuMo AI provides plans and access via a pricing page that lists several one-time purchase plans with non-expiring credits and commercial licenses. It supports cloud/server-side generation, and it mentions components like a commercial license, queue speeds, and email support.

Use cases

• Digital humans and virtual avatars require consistent identity and natural motion.
• Storytelling and creative production leverage prompts, references, and audio to create dynamic scenes.
• Lip-sync and voice-driven animation support dialogue videos and dubbing.
• Marketing and education videos can be produced with controlled inputs to scale content.
• Product demos and scenario prototyping visualize user flows and UI interactions.