HappyHorse 2.0 Features

Every capability you need to go from raw idea to finished video — text prompts, image animation, multi-modal inputs, and a programmable API.

Demo coming soon

Text to Video

Write a prompt, get a cinematic video. HappyHorse 2.0 interprets natural language with high fidelity — motion, lighting, mood, and style all respond to your words.

  • Describe any scene in natural language
  • Cinematic camera movements and dynamic lighting
  • Realistic, anime, 3D, and abstract rendering styles
  • Up to 16-second continuous clips
  • Temporally consistent characters and environments

Demo coming soon

Image to Video

Turn any static image into a living scene. HappyHorse 2.0 infers motion from a single frame — physics, camera dynamics, and style all preserved.

  • Any image format accepted as a starting frame
  • Physics-aware motion inference from static inputs
  • Original art style and composition preserved
  • Adjustable motion magnitude and direction
  • Ideal for animating portraits, landscapes, and concept art

Demo coming soon

Multi-Modal Control

Combine text descriptions, reference images, and video clips as simultaneous inputs to guide HappyHorse 2.0 with surgical precision.

  • Blend text prompts with visual references
  • Use reference video clips for motion transfer
  • Granular camera, subject, and background control
  • Cross-modal inputs for emergent creative results
  • Weighted prompt system for nuanced guidance

Demo coming soon

API Access

Embed HappyHorse 2.0 into any production workflow. A clean REST API, async webhook support, and batch endpoints make scaling straightforward.

  • REST API with comprehensive documentation
  • Batch endpoints for high-throughput pipelines
  • Async webhook callbacks for non-blocking generation
  • Community-maintained ComfyUI node integration
  • Client libraries for Python, JavaScript, and more

ComfyUI Integration

Plug HappyHorse 2.0 directly into ComfyUI via community custom nodes. Design arbitrarily complex generation workflows with visual node programming.