HuMo: Multimodal Human Video Generation Model

Edited by Segmind Team

What is HuMo?

HuMo, created by ByteDance Research, is an advanced AI-based model designed to create premium human-centric videos. It efficiently supports multiple input formats, rendering impressive visual fidelity from text prompts, reference images, and audio inputs, while providing users with ample control over the workflow. HuMo produces videos up to 1080p resolution, capable of capturing the finest details in customized character animations,audio-synchronized performances, and even human interactions based on specific scenarios. Humo AI is an ideal model for video generation in various essential real-world applications.

Key Features HuMo

• •It is capable of creating videos using Three Flexible Generation Modes -
  • •Text-to-image mode for appearance and scene customization
  • •Text-to-audio mode for audio-driven video generation
  • •Full multimodal mode for combining text, image, and audio inputs
• •It has High-Resolution Output that supports up to 1080p video quality
• •It supports Adjustable Frame Rates (30fps or 60fps) for optimal motion smoothness
• •It is capable of Fine-grained Control over human poses, emotions, and scene settings
• •It is integrated with Audio Synchronization capabilities to create in-sync movement and sound
• •It renders videos with Consistent Subject Preservation throughout generated sequences

Best Use Cases

• •Content Creation: It is useful in generating custom character videos for digital content
• •Entertainment: It can create dynamic human performances synchronized with music
• •Education: It can produce instructional videos based on prompts for specific poses and movements
• •Marketing: It will design personalized video content with controlled environments
• •Virtual Production: It can generate preliminary human animations for pre-visualization to recalibrate the workflow.

Prompt Tips and Output Quality

• •Scene Setting: Provide prompts with clear environment descriptions (e.g., "sunny beach morning" or "busy urban street")
• •Pose Guidance: Specify human poses explicitly using the 'human_pose' parameter
• •Emotional Context: Use the 'emotion' parameter to control subject expression
• •Audio Integration: Match background music to your scene's mood using provided options
• •Resolution Balance: Choose 720p for faster generation or 1080p for highest quality

FAQs

Q: How long can HuMo-generated videos be? A: Using the 'duration' parameter, it is possible to create videos ranging from short 10-second clips to 60-second sequences.

Q: Can I control the background environment? A: Yes, using the 'scene' parameter, you can specify environments like 'city' or 'beach' for a contextual setting.

Q: What frame rates are supported? A: HuMo supports 30fps (standard) and 60fps (smooth motion) frame rates.

Q: How does emotion control work? A: The 'emotion' parameter allows you to specify expressions like 'happy' or 'neutral', to control the subject's facial expressions and body language.

Q: Can I combine multiple input types? A: Yes, HuMo's multimodal architecture allows a combination of text, image, and audio inputs for maximum creative control.

HuMo: Multimodal Human Video Generation Model

HuMo is a state-of-the-art video synthesis engine that transforms text, images, and audio into high-quality, human-centric videos. Whether you’re producing character animations, music-driven performances, or instructional clips, this guide will help you unlock HuMo’s full potential.

Getting Started

1. •Choose your generation mode:
   • •Text-to-image: Define appearance and scene.
   • •Text-to-audio: Drive motion with sound.
   • •Full multimodal: Combine text, reference images, and audio.
2. •Install dependencies and load the HuMo model via your preferred SDK.
3. •Prepare input assets: clear text prompts, high-quality reference images, and well-edited audio tracks.

Core Parameters

• •video_resolution (string, required)
  • 1080p for final delivery (slightly longer render times)
  • 720p for rapid iteration
• •frame_rate (integer, required)
  • 30 fps for standard motion
  • 60 fps for fluid, dynamic scenes
• •duration (integer, optional)
  • 10–60 seconds (short clips vs. extended sequences)
• •background_music (string, optional)
  • “upbeat.mp3” for energetic scenes
  • “nature.wav” for calm, ambient moods
• •human_pose (string, required)
  • “walking”, “standing”, “running” or custom labels
• •scene (string, optional)
  • “city”, “beach”, “studio” etc.
• •emotion (string, optional)
  • “happy”, “neutral”, “sad” to influence facial/body language

Parameter Recommendations by Use Case

1. •Digital Content Creation
   • •Resolution: 1080p
   • •Frame Rate: 30
   • •Duration: 15–30s
   • •Pose: “standing” or “walking”
   • •Scene: specify context (e.g., “modern loft”)
   • •Emotion: “neutral” for product showcases
2. •Music-Synced Performances
   • •Resolution: 720p (faster presets)
   • •Frame Rate: 60
   • •Duration: match track length (30–60s)
   • •Background Music: “upbeat.mp3”
   • •Pose: “dancing” or “running”
   • •Emotion: “happy”
3. •Educational Demonstrations
   • •Resolution: 1080p
   • •Frame Rate: 30
   • •Duration: 20–60s
   • •Pose: “standing”, “pointing”
   • •Scene: “classroom” or “laboratory”
   • •Emotion: “neutral” or “focused”
4. •Marketing & Ads
   • •Resolution: 1080p
   • •Frame Rate: 30
   • •Duration: 10–20s
   • •Pose: “walking” toward camera
   • •Scene: branded environment
   • •Emotion: “happy”
5. •Virtual Pre-viz
   • •Resolution: 720p
   • •Frame Rate: 30
   • •Duration: 10–30s
   • •Pose: “running” or “fighting”
   • •Scene: “forest” or “urban street”
   • •Emotion: “intense”

Prompting Tips

• •Start with a vivid scene descriptor: “sunlit seaside boardwalk.”
• •Embed human_pose and emotion early: “(human_pose: dancing, emotion: joyful).”
• •Reference image quality matters: crisp, well-lit, front-facing shots.
• •Sync audio beats: align key frames with musical peaks.

By following these guidelines and fine-tuning HuMo’s parameters, you can generate polished, expressive human videos suited to any project. Enjoy creating!

FAQs