Project Overview

Creating a next-generation video interpolation system that bridges traditional graphics techniques with modern diffusion models.

Technical Objectives

1. Implement state-of-the-art video interpolation using Image-to-Video diffusion models
2. Develop motion fine-tunes for improving foundation model image guide capabilities
3. Creating ComfyUI custom nodes for keyframe animation workflows

Key Research Areas

• Video diffusion model optimization + fine tuning
• Understanding best in class keyframe interpolation techniques from both video diffusion models & traditional graphics
• Warped Noise / Motion Adherence methodologies
• ComfyUI workflow design

Price

We are offering ~$5k for this project. If you’re interested please contact [email protected] or [email protected]

Our Mission

Glyf is revolutionizing motion design through AI-powered 3D visualization. We build tools that honor artists' original designs while reducing the time to create high-quality 3D effects and textures from hours to minutes. We prioritize creative control, color accuracy, and design integrity throughout the rendering process.