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Trained (LoRA) models require a dedicated deployment to serve. Here’s what you need to know: What you pay for:
  • Deployment costs on a per-GPU-second basis for hosting the model
  • The training process itself, if applicable
Deployment options:
  • Live-merge deployment: Deploy your LoRA model with weights merged into the base model for optimal performance
  • Multi-LoRA deployment: Deploy up to 100 LoRA models as addons on a single base model deployment
For more details on deploying trained models, see the Deploying Trained Models guide.