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Fine-tuning

An API and developer toolkit for fine-tuning state of the art models like Stable Diffusion.
The pace of ML model research is only accelerating: new models like Stable Diffusion, Whisper, and Flan T5 are changing what we imagine is possible. We're translating these findings into easy-to-use developer tools to unlock new ways for developers to build with ML. Fine-tuning models lets you apply the power of modern models to better solve narrower problems.
Example use cases for fine-tuning APIs:
  • Quickly train text-to-image diffusion models on your own reference set to personalize outputs with a few lines of code.
  • Generate fully novel images in your preferred style with DreamBooth fine tuning on Stable Diffusion.
  • Apply Chain-of-Thought prompting to improve complex reasoning for large language models.
This feature is coming soon to Blueprint. Sign up for the waitlist to get early access.