Model Synergy: Collaborative LoRA Training and Sharing
The Power of the Private Model
AI value is moving from "General Models" to "Private Data." Collaborative training allows enterprises to build proprietary visual languages that grow more valuable as more team members contribute.
Key Features
- Concurrent Dataset Curation: Multiple users can tag, crop, and upload training images into a single project.
- Model Checkpoint review: Share interim training results for directorial feedback before finalizing the model.
- White-Label Model distribution: Brand-safe delivery of custom models to your affiliate or agency network.
How It Works
- Create Training Workspace: Invite your data scientists and art directors to the project.
- Execute Bulk Training: The Synemify farm handles the GPU overhead for the team.
- Deploy to Studio: The finished LoRA is instantly accessible as a feature in the Studio Canvas.