cxr-normal-dreambooth

Diffuser model finetuned using DreamBooth from stable-diffusion-2-1-base to generate synthetic normal chest x-ray images.

The bones still look a little weird...

Generation Prompt

Due to the model being trained using DreamBooth, it is crucial that the correct prompt is used during generation:

A chest xray of healthy normal lungs, clear lung fields

Training Config

training_config = {
 "method": "full_dreambooth",
 "resolution": 512,
 "train_batch_size": 8,
 "gradient_accumulation_steps": 2, # Effective batch size: 16
 "learning_rate": 5e-6, # Lower for full finetuning
 "max_train_steps": 800,
 "train_text_encoder": True, # Thanks to 80GB A100 in Colab this is possible
 "with_prior_preservation": True,
 "prior_loss_weight": 1.0,
 "num_class_images": 200,
 "mixed_precision": "fp16",
 "gradient_checkpointing": False,
}