Runway is introducing Model Fine-tuning, a new self-serve feature that will allow users to customize its generative models using their own datasets. The feature aims to solve the problem of general-purpose models failing to meet specific customer needs.
Key Details:
Custom training - Users will be able to fine-tune models for their specific use cases, aesthetics, or motion dynamics, moving beyond the "opinionated" nature of current general models.
Enterprise focus - Runway is highlighting applications for industries including robotics, life sciences, education, architecture, and design, suggesting a strong push toward specialized commercial use.
Pilot program access - The feature is available now for select pilot partners. A general release is "coming soon," and interested users can submit for early access.
Accessible post-training - Runway states its goal is to "make post-training accessible to everyone," allowing users to customize models with "minimal compute and data requirements."
This move positions Runway to support more specialized enterprise workflows, addressing what it identifies as a gap where general models "can fall short when deployed for real customer problems."
