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LoRA & Training Blocks

Use training blocks to fine-tune image generation with LoRA weights and reuse them across bleuprints.

Available blocks:

  • LoRA Image Finetune: trains a LoRA model from a set of images and a trigger word.
  • Save Train Object: stores trained weights with a label and description for later reuse.
  • Load Fine Tune: loads a saved LoRA (or other train types as supported).
  • Fine-tuned Image Generation: generates images using a selected LoRA model with standard controls.

How to use (typical flow):

  1. Provide a batch of training images to LoRA Image Finetune.
  2. Configure a trigger word and training steps.
  3. Save the resulting train object using Save Train Object.
  4. In another workflow, Load Fine Tune and connect it to Fine-tuned Image Generation along with your prompt.

Known constraints:

  • Training expects a list of images.
  • Train types must match when connecting training outputs to inputs. Some inputs accept any, while others require a specific type (e.g., Flux LoRA).
  • Fine-tuned generation supports standard image options like aspect ratio, guidance, and seed.